Alternatives to Data Quality Validator (DQV)

Compare Data Quality Validator (DQV) alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Data Quality Validator (DQV) in 2026. Compare features, ratings, user reviews, pricing, and more from Data Quality Validator (DQV) competitors and alternatives in order to make an informed decision for your business.

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    SCIKIQ

    SCIKIQ

    SCIKIQ

    SCIKIQ Data Fabric makes enterprise data AI-ready, without rebuilding the data stack, In weeks and months or years SCIKIQ is an AI-native Data & Intelligence Platform that helps enterprises connect, contextualize, govern and activate their data for analytics, Generative AI and intelligent agents. Instead of adding another disconnected tool, SCIKIQ creates a unified intelligence layer across the technology you already use from SAP, Oracle and Salesforce to Snowflake, Databricks, cloud platforms, data lakes and enterprise applications. The result is trusted, contextualized and AI-ready enterprise data — in weeks, not years. What makes SCIKIQ Data Fabric different is its ability to bring the entire data-to-AI journey into one platform. Data integration, transformation, data quality, governance, catalog, lineage, semantic models, knowledge graphs, conversational analytics, AI/ML, data products and AI agents work together rather than as separate tools. At the heart of SCIKIQ is Contextual Intelligence. SCIKIQ connects technical metadata with business definitions, KPIs, ownership, relationships and rules so that people and AI understand what enterprise data actually means. This semantic foundation helps create more trusted analytics and better-grounded AI responses. Business users can simply ask questions of their enterprise data in natural language, explore KPIs and root causes, and receive contextual answers without depending on SQL or waiting for another report. For data and technology teams, SCIKIQ provides a governed foundation with 200+ connectors, active metadata, multi-hop lineage, data quality, role-based governance and multi-cloud support across AWS, Azure, GCP, hybrid and on-prem environments, and you don't have to rip and replace your existing investments. SCIKIQ works with your stack, not against it. SCIKIQ has been recognized by Forrester, NASSCOM, YourStory, Inc42 and DataIQ, providing independent validation of its innovation in enterprise data and AI. If your enterprise already has data but is struggling to turn it into trusted AI, SCIKIQ is where that journey begins
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    Okyline

    Okyline

    Akwatype

    Okyline is an Executable Data Design (EDD) platform for declarative data validation contracts and measurable operational data quality. Instead of maintaining disconnected specifications, validators, tests, and quality dashboards, Okyline uses a single executable contract as the operational source of truth for validation and flow quality monitoring. The same readable contract drives multi-format validation, deterministic execution, quality measurement, data quality gate, and historical quality analytics across APIs, events, files, LLM structured outputs, and enterprise data flows. Community Edition provides the open specification, a free Java validation runtime, a public Claude AI assistant for contract generation, and a free online studio for executable JSON validation contracts and JSON Schema transpilation. Enterprise Edition supports direct validation of JSONL, XML, CSV, FIXED, and EDI flows, data quality gate, and operational quality dashboards, all without databases
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    Windocks

    Windocks

    LangGrant

    Windocks is a leader in cloud native database DevOps, recognized by Gartner as a Cool Vendor, and as an innovator by Bloor research in Test Data Management. Novartis, DriveTime, American Family Insurance, and other enterprises rely on Windocks for on-demand database environments for development, testing, and DevOps. Windocks software is easily downloaded for evaluation on standard Linux and Windows servers, for use on-premises or cloud, and for data delivery of SQL Server, Oracle, PostgreSQL, and MySQL to Docker containers or conventional database instances. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments.
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    Zuar Runner

    Zuar Runner

    Zuar, Inc.

    Utilizing the data that's spread across your organization shouldn't be so difficult! With Zuar Runner you can automate the flow of data from hundreds of potential sources into a single destination. Collect, transform, model, warehouse, report, monitor and distribute: it's all managed by Zuar Runner. Pull data from Amazon/AWS products, Google products, Microsoft products, Avionte, Backblaze, BioTrackTHC, Box, Centro, Citrix, Coupa, DigitalOcean, Dropbox, CSV, Eventbrite, Facebook Ads, FTP, Firebase, Fullstory, GitHub, Hadoop, Hubic, Hubspot, IMAP, Jenzabar, Jira, JSON, Koofr, LeafLogix, Mailchimp, MariaDB, Marketo, MEGA, Metrc, OneDrive, MongoDB, MySQL, Netsuite, OpenDrive, Oracle, Paycom, pCloud, Pipedrive, PostgreSQL, put.io, Quickbooks, RingCentral, Salesforce, Seafile, Shopify, Skybox, Snowflake, Sugar CRM, SugarSync, Tableau, Tamarac, Tardigrade, Treez, Wurk, XML Tables, Yandex Disk, Zendesk, Zoho, and more!
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    DATPROF

    DATPROF

    DATPROF

    DATPROF Test Data Platform is a complete test data management solution that helps software teams create, protect, provision, and automate high-quality test data. The platform combines data masking, synthetic test data generation, data subsetting, test data provisioning, and automation in one integrated solution. DATPROF enables organizations to safely use realistic, production-like data for development, testing, QA, and CI/CD pipelines without exposing sensitive or privacy-related information. It helps companies comply with regulations such as GDPR, PCI, and HIPAA while improving software delivery speed and reducing manual test data work. DATPROF is a software company specialized in test data management. Its mission is to help organizations make test data available faster, safer, and more efficiently, especially in complex enterprise and regulated environments.
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    Web APIs by Melissa
    Melissa’s Web APIs provide a comprehensive solution for global data verification, cleansing, and enrichment to maintain reliable data. Verify, standardize and cleanse global identities, addresses, phones & emails, powered by AI-driven reference data. Our flexible APIs are designed for modern interfaces, including REST, JSON, and XML are easily accessible through our Developer Portal, where you can build, test, and explore integrations. Enhance your data with geographic, demographic, and firmographic insights, along with U.S. property data for advanced enrichment. Melissa supports seamless integration with popular platforms such as Salesforce, Shopify, and more, making data management and governance simple and efficient. Whether you’re focused on data management, data validation, or leveraging our APIs into your website or mobile applications, Melissa helps you unlock the full potential of your data. Get started with 1,000 complimentary credits! All you need is a Melissa account
    Starting Price: $4.95 for 1,000 credits
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    IRI FieldShield

    IRI FieldShield

    IRI, The CoSort Company

    IRI FieldShield® is powerful and affordable data discovery and masking software for PII in structured and semi-structured sources, big and small. Use FieldShield utilities in Eclipse to profile, search and mask data at rest (static data masking), and the FieldShield SDK to mask (or unmask) data in motion (dynamic data masking). Classify PII centrally, find it globally, and mask it consistently. Preserve realism and referential integrity via encryption, pseudonymization, redaction, and other rules for production and test environments. Delete, deliver, or anonymize data subject to DPA, FERPA, GDPR, GLBA, HIPAA, PCI, POPI, SOX, etc. Verify compliance via human- and machine-readable search reports, job audit logs, and re-identification risk scores. Optionally mask data as you map it. Apply FieldShield functions in IRI Voracity ETL, federation, migration, replication, subsetting, or analytic jobs. Or, run FieldShield from Actifio, Commvault or Windocks to mask DB clones.
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    Routebase

    Routebase

    Routebase GmbH

    Routebase is the single source of truth for your APIs. Design your OpenAPI spec once in a visual editor — no hand-edited YAML — and your documentation portal, mock servers, contract tests, and monitoring all derive from that one spec. Change the contract, publish, and Routebase catches what drifted before your consumers do: it validates live responses against the spec and flags every divergence with field-level diffs — missing fields, type mismatches, undocumented additions. Work on specs the way you work on code: branch, review, merge, with breaking-change detection before anything ships. Publish a docs portal on your own custom domain. Spin up realistic mocks so frontend and backend build in parallel. Run contract and security tests against any environment. Every workspace also ships a built-in MCP server, so your AI agents read and act on the same source of truth, under your team's permissions — no glue code.
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    CloverDX

    CloverDX

    CloverDX

    CloverDX is the data integration platform that puts you in control. Build data pipelines visually in CloverDX Designer, in code, or with AI, and move freely between all three. Run ETL, data transformation and data migration jobs on autopilot, with schedules, file and message listeners and API triggers, or on demand through published endpoints and Data Apps for non-engineers. Typed metadata finds schema drift before production does, and a full execution history makes every run auditable. Teams use CloverDX for client data onboarding, legacy system replacement, data quality validation, and automation of manual data work at scale. Customers grow data volume and client count without growing the team. Deploy on premises, in your own cloud, hybrid, or in containers and Kubernetes. Your data never crosses our infrastructure. Pay a flat annual price for capacity, not for rows, runs or connectors.
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    Validio

    Validio

    Validio

    See how your data assets are used: popularity, utilization, and schema coverage. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Find and filter the data you need based on metadata tags and descriptions. Get important insights about your data assets such as popularity, utilization, quality, and schema coverage. Drive data governance and ownership across your organization. Stream-lake-warehouse lineage to facilitate data ownership and collaboration. Automatically generated field-level lineage map to understand the entire data ecosystem. Anomaly detection learns from your data and seasonality patterns, with automatic backfill from historical data. Machine learning-based thresholds are trained per data segment, trained on actual data instead of metadata only.
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    Metaplane

    Metaplane

    Metaplane

    Monitor your entire warehouse in 30 minutes. Identify downstream impact with automated warehouse-to-BI lineage. Trust takes seconds to lose and months to regain. Gain peace of mind with observability built for the modern data era. Code-based tests take hours to write and maintain, so it's hard to achieve the coverage you need. In Metaplane, you can add hundreds of tests within minutes. We support foundational tests (e.g. row counts, freshness, and schema drift), more complex tests (distribution drift, nullness shifts, enum changes), custom SQL, and everything in between. Manual thresholds take a long time to set and quickly go stale as your data changes. Our anomaly detection models learn from historical metadata to automatically detect outliers. Monitor what matters, all while accounting for seasonality, trends, and feedback from your team to minimize alert fatigue. Of course, you can override with manual thresholds, too.
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    DataTrust

    DataTrust

    RightData

    DataTrust is built to accelerate test cycles and reduce the cost of delivery by enabling continuous integration and continuous deployment (CI/CD) of data. It’s everything you need for data observability, data validation, and data reconciliation at a massive scale, code-free, and easy to use. Perform comparisons, and validations, and do reconciliation with re-usable scenarios. Automate the testing process and get alerted when issues arise. Interactive executive reports with quality dimension insights. Personalized drill-down reports with filters. Compare row counts at the schema level for multiple tables. Perform checksum data comparisons for multiple tables. Rapid generation of business rules using ML. Flexibility to accept, modify, or discard rules as needed. Reconciling data across multiple sources. DataTrust solutions offers the full set of applications to analyze source and target datasets.
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    REGRESSwise

    REGRESSwise

    iQspeaks Limited

    REGRESSwise is an enterprise-grade regression testing platform built natively for Google BigQuery. Developed by iQspeaks Limited, it enables data engineering and QA teams to automate validation of high-scale data pipelines with fast and reliable before-and-after comparison testing. The platform supports schema validation, row-level comparison, and aggregate-level validation to identify data inconsistencies, schema drift, and transformation issues before production deployment. REGRESSwise integrates directly into existing CI/CD workflows and complements dbt testing by validating output data rather than transformation logic. Built for enterprise environments, REGRESSwise processes millions of data points efficiently while ensuring data integrity, auditability, and low BigQuery compute costs. The platform is ideal for organizations using GCP and BigQuery for analytics and large-scale data transformation workloads.
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    MatchX

    MatchX

    VE3 Global

    MatchX is an AI-powered data quality and matching platform that cleans, connects, and governs your data — without the manual struggle. It finds and fixes duplicates, inconsistencies, missing fields, and mismatches across systems, even in complex, unstructured sources like scanned documents. The result? You get clean, connected, and trusted data — ready for AI, analytics, automation, and everyday business decisions. MatchX offers a comprehensive AI-enhanced data quality and matching solution that revolutionizes how companies manage their information assets. By integrating powerful data ingestion capabilities and intelligent schema mapping, MatchX structures and validates data from diverse sources, including APIs, databases, and documents. The platform’s self-learning AI models automatically detect and correct inconsistencies, duplicates, and anomalies, ensuring data integrity without intensive manual intervention.
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    LangGrant

    LangGrant

    LangGrant

    LangGrant connects large language models to your production databases for trusted, governed data analysis. Instead of one-off answers, it produces persistent, versioned Data Plans that show their work - the steps and logic behind every result. Teams review, validate, and reuse these plans without moving data. A single question can join data across multiple databases, and LangGrant auto-adapts to each schema. It works with models like Claude, OpenAI, and Google Gemini, and supports Snowflake, SQL Server, Oracle, PostgreSQL, BigQuery, Redshift, Azure SQL, Databricks, and MySQL. Data Plans move through a code-like lifecycle (test, sign-off, staging, approved) with access controls, PII protection, compliance validation, and audit trails. By reusing reasoning instead of paying AI for every question, it cuts cost, improves collaboration, and builds organizational intelligence. From the team behind Windocks, recognized by Gartner.
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    Union Pandera
    Pandera provides a simple, flexible, and extensible data-testing framework for validating not only your data but also the functions that produce them. Overcome the initial hurdle of defining a schema by inferring one from clean data, then refine it over time. Identify the critical points in your data pipeline, and validate data going in and out of them. Validate the functions that produce your data by automatically generating test cases for them. Access a comprehensive suite of built-in tests, or easily create your own validation rules for your specific use cases.
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    QuerySurge
    QuerySurge is the enterprise-grade data quality platform that continuously automates the validation of data across your entire ecosystem ‐ from data warehouses and big data lakes to BI reports and enterprise applications. With AI-powered test creation, a scalable architecture, and seamless CI/CD integration, QuerySurge consistently ensures data integrity at every stage of the pipeline: accelerating delivery, reducing risk, and enabling confident decision-making. Use Cases - Data Warehouse & ETL Testing - Big Data Testing - DevOps for Data / DataOps / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise App/ERP Testing QuerySurge Features - Data Validation: enterprise-grade platform - AI: Automatically create data validation tests - BI Report Testing: Fully automated, no-code approach - DevOps for Data (DataOps): API w/60+ calls & Swagger docs, integrate continuous testing into your CI/CD pipelines - Data Connectors: For 200+ platforms
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    Libelle DataMasking
    Libelle DataMasking (LDM) is a robust, enterprise-grade data masking solution that automates the anonymization of sensitive or personal data—such as names, addresses, dates, emails, IBANs, credit cards—and transforms them into realistic, logically consistent substitutes that maintain referential integrity across SAP and non‑SAP systems, including Oracle, SQL Server, IBM DB2, MySQL, PostgreSQL, SAP HANA, flat files, and cloud databases. Capable of processing up to 200,000 entries per second and supporting parallelized masking for massive datasets, LDM uses a multithreaded architecture to efficiently read, anonymize, and write data back with high performance. It features over 40 built‑in anonymization algorithms—such as number, alphanumeric, date shifting, name, email, IBAN masking, credit card obfuscation, and mapping algorithms—as well as templates for SAP modules (CRM, ERP, FI/CO, HCM, SD, SRM).
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    RingsTrue

    RingsTrue

    Cloud Ursa

    RingsTrue is a powerful Salesforce-native application that ensures your organization's phone number data is clean, correctly formatted, and validated across the platform. It automatically standardizes telephone entries, including mobile, landline, and fax, by applying internationally recognized formatting, removing extraneous characters, and adding appropriate country codes. The app highlights missing or mismatched numbers (such as when the phone’s country code differs from the record’s location), and it supports both real-time and scheduled batch validation. After execution, RingsTrue provides detailed reports showing how many numbers were cleaned, updated, or validated, broken down by object type as well as overall accuracy. These insights help users prioritize outreach (e.g., targeting live numbers first) and maintain high-quality contact data in Salesforce with minimal effort.
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    VisuaLeaf

    VisuaLeaf

    SozoCode Inc.

    VisuaLeaf is a cross-platform database GUI for MongoDB, PostgreSQL, MySQL, SQL Server, and Oracle. It helps developers explore and edit data, build queries and MongoDB aggregation pipelines visually, create and reverse-engineer schema diagrams, manage indexes, analyze query performance, and work with an integrated MongoDB shell and SQL editor. VisuaLeaf also includes collection comparison, data synchronization, task automation, data masking, import and export tools, charts, dashboards, user management, and secure SSH and SOCKS5 connections. It is available for Windows, macOS, and Linux.
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    3X Code Conversion

    3X Code Conversion

    3X Data Engineering

    3X Code Conversion is an AI-augmented data engineering accelerator that converts legacy SQL and ETL code into modern cloud platform code. The tool supports migrations from Teradata, Oracle, Netezza, SQL Server, MySQL, PostgreSQL, and Redshift to Snowflake, Databricks, BigQuery, Microsoft Fabric, Synapse, and other modern data platforms. It can ingest SQL scripts, stored procedures, ETL jobs, BTEQ macros, FastLoad jobs, SSIS pipelines, and undocumented legacy codebases. 3X Code Conversion uses deep code understanding, complexity scoring, agentic conversion, automated refactoring, testing, validation, and developer action items. The platform generates converted code, validation reports, standardized formatting, migration summaries, documentation, and AI-assisted code reviews. Built for enterprise cloud migrations, 3X Code Conversion helps data teams move legacy code to modern platforms in hours instead of months.
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    TIN Comply

    TIN Comply

    TIN Comply

    TIN Comply is a vendor compliance platform for IRS TIN matching, EIN lookup, W-9 collection, sanctions screening, B-Notice workflow, reporting, API integration, and managed compliance services. It acts as the validation layer between the point where vendor data enters an organization and the point where it creates an IRS problem, helping teams catch bad data before payment, onboarding, or 1099 filing. TIN Comply provides automated tools to resolve IRS TIN/name mismatches by combining real-time validation, EIN discovery, and secure W-9 collection. It gives result details, not just pass/fail, helping teams understand whether a record failed because of a name mismatch, wrong TIN type, or invalid TIN, so outreach asks for the right correction. Its guided electronic W-9 portal includes field-level instructions, e-signature, centralized storage, automatic correction outreach, and revalidation when updated forms are returned.
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    Rosentic

    Rosentic

    Rosentic

    Rosentic is a deterministic code analysis and coordination tool designed to prevent integration failures in environments where multiple developers or AI coding agents work in parallel on the same repository. It integrates directly into CI/CD pipelines and evaluates every pull request against all other active branches, rather than only comparing changes to the main branch. This approach enables it to detect logical conflicts, such as API breaks, schema drift, or function signature mismatches, that traditional tools and git merge checks cannot identify. It operates as a static analysis engine that parses code structure, extracts relevant symbols, and performs precise cross-branch compatibility checks, ensuring that changes in one branch do not silently break code being developed elsewhere. It delivers deterministic results, meaning the same repository state always produces the same findings, and provides exact file paths, line numbers, and explanations.
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    Hackolade

    Hackolade

    Hackolade

    Hackolade Studio is a powerful data modeling platform that supports a wide range of technologies including relational SQL and NoSQL databases, cloud data warehouses, APIs, streaming platforms, and data exchange formats. Designed for modern data architecture, it enables users to visually design, document, and evolve schemas across systems like Oracle, PostgreSQL, Databricks, Snowflake, MongoDB, Cassandra, DynamoDB, Neo4j, Kafka (with Confluent Schema Registry), OpenAPI, GraphQL, and more. Hackolade Studio offers forward and reverse engineering, schema versioning, model validation, and integration with metadata catalogs such as Unity Catalog and Collibra. It empowers data architects, engineers, and governance teams to collaborate on consistent, governed, and scalable data models. Whether building data products, managing API contracts, or ensuring regulatory compliance, Hackolade Studio streamlines the process in one unified interface.
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    JuxtAPPose

    JuxtAPPose

    Juxtappose

    The Data Comparison Tool. Compare data from files (Excel, csv and txt) and Queries (MS-SQL, Oracle, Amazon Redshift, MySQL, and more...) Comparing data from files and queries has never been easier. Don't drown under hours of tutorials, spreadsheets and formulas that will be good for only ONE time, let the clicks do the work and compare A and B without learning how to code! If any of these situations prevents you to spend your time on things that require your actual talent, then this is the software for you (disclaimer, reading the list can cause pain): Reports migration, data differences between stages, data mismatch, "Row count match but numbers don't","this query works different in this other Engine/DB", "001 <> 1" (or vice versa), find missing data, "that report was different X days ago", "I have to compare this again", etc.
    Starting Price: $49.99 one-time payment
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    rudol

    rudol

    rudol

    Unify your data catalog, reduce communication overhead and enable quality control to any member of your company, all without deploying or installing anything. rudol is a data quality platform that helps companies understand all their data sources, no matter where they come from; reduces excessive communication in reporting processes or urgencies; and enables data quality diagnosing and issue prevention to all the company, through easy steps With rudol, each organization is able to add data sources from a growing list of providers and BI tools with a standardized structure, including MySQL, PostgreSQL, Airflow, Redshift, Snowflake, Kafka, S3*, BigQuery*, MongoDB*, Tableau*, PowerBI*, Looker* (* in development). So, regardless of where it’s coming from, people can understand where and how the data is stored, read and collaborate with its documentation, or easily contact data owners using our integrations.
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    IRI Data Protector Suite

    IRI Data Protector Suite

    IRI, The CoSort Company

    The IRI Data Protector suite contains multiple data masking products which can be licensed standalone or in a discounted bundle to profile, classify, search, mask, and audit PII and other sensitive information in structured, semi-structured, and unstructured data sources. Apply their many masking functions consistently for referential integrity: ​IRI FieldShield® Structured Data Masking FieldShield classifies, finds, de-identifies, risk-scores, and audits PII in databases, flat files, JSON, etc. IRI DarkShield® Semi & Unstructured Data Masking DarkShield classifies, finds, and deletes PII in text, pdf, Parquet, C/BLOBs, MS documents, logs, NoSQL DBs, images, and faces. IRI CellShield® Excel® Data Masking CellShield finds, reports on, masks, and audits changes to PII in Excel columns and values LAN-wide or in the cloud. IRI Data Masking as a Service IRI DMaaS engineers in the US and abroad do the work of classifying, finding, masking, and risk-scoring PII for you.
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    Data Quality Sense
    Data Quality Sense (DQS) is a 100% Salesforce-native data quality app by Tucario. It measures, monitors, and improves the reliability of your CRM data without ever exporting it — everything runs inside your Salesforce org. DQS scores your data across six dimensions — Completeness, Validity, Uniqueness, Consistency, Timeliness, and PII Detection — producing a weighted Data Quality Score at the org, object, and field level. A no-code Definition Builder (5-step wizard) lets admins define rules, scheduled scans keep scores current, and Insight Studio surfaces trends and field health. Automatic PII detection (8 pattern types incl. SSN, credit card, IBAN, email, IP, date of birth) helps teams find and protect sensitive data before exposure. With Agentforce and AI on the rise, DQS prepares your Salesforce data for reliable AI — an AI agent is only as good as the data behind it. Available on the Salesforce AppExchange.
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    Digna

    Digna

    digna GmbH

    digna is a data quality and observability platform designed to monitor, analyze, and validate data directly within enterprise data environments. It combines anomaly detection, time-series analytics, and validation into a unified system that helps teams detect issues early and understand how data behaves over time. Core Capabilities * Data Anomaly Detection
Identifies changes in data volume, distribution, and behavior using statistical methods and AI-driven models without relying on manually defined rules. * Time-Series Analytics
Built-in analytical methods (regression, pattern detection, seasonality analysis) allow users to interpret trends and deviations directly within the platform. * Data Timeliness Monitoring
Tracks expected data arrival times and identifies delays across pipelines and data flows. * Data Validation
Supports rule-based validation with reusable templates and centralized definitions of allowed values. * Schema Change Tracking
Detects structural changes in dat
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    EMS Data Generator for MySQL

    EMS Data Generator for MySQL

    EMS Software Development

    EMS Data Generator for MySQL is an impressive tool for generating test data to MySQL database tables with the possibility to save and edit scripts. The utility can help you to simulate the database production environment and allows you to populate several MySQL database tables with test data simultaneously, define tables and fields for generating data, set value ranges, generate MySQL char fields by mask, define lists of values manually or select them from SQL queries, set generation parameters for each field type and has many other features to generate MySQL test data in a simple and direct way. Data Generator for MySQL also provides a console application, which allows you to generate MySQL test data in one-touch by using generation templates.
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    Telmai

    Telmai

    Telmai

    A low-code no-code approach to data quality. SaaS for flexibility, affordability, ease of integration, and efficient support. High standards of encryption, identity management, role-based access control, data governance, and compliance standards. Advanced ML models for detecting row-value data anomalies. Models will evolve and adapt to users' business and data needs. Add any number of data sources, records, and attributes. Well-equipped for unpredictable volume spikes. Support batch and streaming processing. Data is constantly monitored to provide real-time notifications, with zero impact on pipeline performance. Seamless boarding, integration, and investigation experience. Telmai is a platform for the Data Teams to proactively detect and investigate anomalies in real time. A no-code on-boarding. Connect to your data source and specify alerting channels. Telmai will automatically learn from data and alert you when there are unexpected drifts.
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    Kafma

    Kafma

    Karma IO LLC

    Kafma is a desktop Kafka GUI client and IDE for macOS, Windows, and Linux. It keeps the consume–inspect–produce loop in one workspace, helping developers browse topics, inspect records, edit payloads, and produce messages without switching views. Kafma automatically decodes Avro and Protobuf, supports replaying and forwarding messages, and lets you draft, diff, and validate schemas before publishing. You can also manage topics and consumer groups, diagnose lag, and reset offsets. Kafma Pro can clone remote topics—with their configurations, schemas, and a selected range of messages—into a local cluster for testing, with optional field masking. Kafma works with self-hosted Kafka, Confluent Cloud, and Amazon MSK. A Free plan is available.
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    Informatica Persistent Data Masking
    Retain context, form, and integrity while preserving privacy. Enhance data protection by de-sensitizing and de-identifying sensitive data, and pseudonymize data for privacy compliance and analytics. Obscured data retains context and referential integrity remain consistent, so the masked data can be used in testing, analytics, or support environments. As a highly scalable, high-performance data masking solution, Informatica Persistent Data Masking shields confidential data—such as credit card numbers, addresses, and phone numbers—from unintended exposure by creating realistic, de-identified data that can be shared safely internally or externally. It also allows you to reduce the risk of data breaches in nonproduction environments, produce higher-quality test data and streamline development projects, and ensure compliance with data-privacy mandates and regulations.
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    Advanced ETL Processor

    Advanced ETL Processor

    DB Software Laboratory

    Advanced ETL Processor is a professional ETL and data integration solution designed for developers, data engineers, and IT teams who need to automate data workflows across multiple systems. The software supports a wide range of data sources and formats, including Excel, CSV, XML, JSON, QVD/QVX, REST APIs, and major databases such as MySQL, PostgreSQL, SQL Server, Oracle, and MariaDB. Users can build visual ETL workflows to extract, transform, validate, and load data with advanced mapping, filtering, aggregation, and scripting capabilities. Advanced ETL Processor is commonly used for data migration, system integration, reporting, and business intelligence. Its automation and scheduling features help reduce manual work, improve data quality, and ensure reliable data synchronization between systems. The platform is suitable for both simple data transfers and complex enterprise-level ETL processes, without requiring heavy custom coding.
    Starting Price: $690 per user per year
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    AutomationCodeless

    AutomationCodeless

    SyntaPoint LLC

    AutomationCodeless is a no-code integration testing platform for validating REST APIs, databases, AWS services, and AI-powered workflows, without writing or maintaining test frameworks. Instead of scripting in Postman, Cypress, or Katalon, you describe what you need in plain English and AI generates the step in seconds. Tests run instantly on the Cloud Runner with zero install, or install the optional Agent to run them inside your company's network so sensitive data never leaves your environment. Test REST calls with full assertions, run SQL across PostgreSQL, MySQL, MSSQL, and Oracle, use native AWS steps, and call OpenAI directly. Credentials are stored as encrypted parameters and referenced by ID, never exposed. Built for QA, security, database, DevOps, and backend teams, every step is visible and reviewed before it runs, and each execution is traceable and auditable. Group tests into suites, track history, export to CSV/JSON/Excel, and share results with no login required.
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    Bitdive

    Bitdive

    Bitdive

    BitDive is a zero-code quality and test automation platform for Java, Kotlin, Spring Boot and other JVM-based applications that captures real executions and converts them into reusable, deterministic test scenarios you can replay in CI, staging or on a developer machine without writing or maintaining test code. BitDive runs as a lightweight library dependency and records full context from real traffic including HTTP/gRPC requests and responses, method calls, SQL queries with parameters and results, service interactions and timings, enabling deep method-level observability, distributed tracing, performance profiling and semantic drift detection. Its capture-replay-verify loop lets teams automatically generate regression suites and JUnit tests from actual executions, reproduce and debug production bugs locally with full execution chains, eliminate fragile mocks and flaky tests, and validate behavior changes before deployment. BitDive also visualizes service maps and heatmaps.
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    Astrato

    Astrato

    Astrato Analytics

    Astrato Analytics is a warehouse-native business intelligence platform that allows organizations to build, embed, and share interactive dashboards and data applications directly on cloud data warehouses. It integrates with major platforms such as Snowflake, BigQuery, Databricks, ClickHouse, Supabase, Amazon Redshift, PostgreSQL, and Dremio. The platform uses a zero-copy architecture, enabling real-time data access without the need for data extraction or duplication. This approach ensures that dashboards and reports always reflect the most up-to-date information. Astrato connects through a live-query engine, allowing seamless interaction with source data. It eliminates the complexity of managing data pipelines or cached datasets. Security is enhanced by inheriting policies like row-level access and data masking directly from the warehouse. Overall, it simplifies analytics while maintaining strong governance and real-time insights.
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    Evidently AI

    Evidently AI

    Evidently AI

    The open-source ML observability platform. Evaluate, test, and monitor ML models from validation to production. From tabular data to NLP and LLM. Built for data scientists and ML engineers. All you need to reliably run ML systems in production. Start with simple ad hoc checks. Scale to the complete monitoring platform. All within one tool, with consistent API and metrics. Useful, beautiful, and shareable. Get a comprehensive view of data and ML model quality to explore and debug. Takes a minute to start. Test before you ship, validate in production and run checks at every model update. Skip the manual setup by generating test conditions from a reference dataset. Monitor every aspect of your data, models, and test results. Proactively catch and resolve production model issues, ensure optimal performance, and continuously improve it.
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    Data8

    Data8

    Data8

    ​Data8 offers a comprehensive suite of cloud-based data quality solutions designed to ensure your data is clean, accurate, and up-to-date. Our services encompass data validation, cleansing, migration, and monitoring, tailored to meet specific business needs. Data validation services include real-time verification tools for address autocomplete, postcode lookup, bank account validation, email verification, name and phone validation, and business insights, all aimed at capturing accurate customer data at the point of entry. Data8 helps improve B2B and B2C databases by offering appending and enhancement services, email and phone validation, data suppression for goneaways and deceased individuals, deduplication and merge services, PAF cleansing, and preference services. Data8 is an automated deduplication solution compatible with Microsoft Dynamics 365, designed to dedupe, merge, and standardize multiple records efficiently.
    Starting Price: $0.053 per lookup
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    ESF Database Migration Toolkit
    It dramatically cuts the effort, cost, and risk of migrating to/from any of the following database formats: Oracle, MySQL, MariaDB, SQL Server, PostgreSQL, IBM DB2, IBM Informix, InterSystems Caché, Teradata, Visual Foxpro, SQLite, FireBird, InterBase, Microsoft Access, Microsoft Excel, Paradox, Lotus, dBase, CSV/Text and transfer any ODBC DSN data source to them. This software can help you quickly migrate a variety of data, structures and objects, saving you a lot of time and money. It will automatically migrate all table structures, data, schemas(Oracle, SQL Server 2000 or higher, PostgreSQL, IBM DB2 and so), LOBs(Large Text/Binary Objects), primary/foreign keys, indexes, auto-increment(serial), comments and default values and more. You can migrate data between two different character sets(e.g.: UTF8, CP1250 etc.) and the software automatically convert different data encodings. You can also change the field name/data type/nullable/precision/numscale or filter data when migrating.
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    Datagaps DataOps Suite
    Datagaps DataOps Suite is a comprehensive platform designed to automate and streamline data validation processes across the entire data lifecycle. It offers end-to-end testing solutions for ETL (Extract, Transform, Load), data integration, data management, and business intelligence (BI) projects. Key features include automated data validation and cleansing, workflow automation, real-time monitoring and alerts, and advanced BI analytics tools. The suite supports a wide range of data sources, including relational databases, NoSQL databases, cloud platforms, and file-based systems, ensuring seamless integration and scalability. By leveraging AI-powered data quality assessments and customizable test cases, Datagaps DataOps Suite enhances data accuracy, consistency, and reliability, making it an essential tool for organizations aiming to optimize their data operations and achieve faster returns on data investments.
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    iBEAM O2PIMS

    iBEAM O2PIMS

    OptiSol Business Solutions

    OptiSol’s Oracle-to-PostgreSQL Migration (iBEAM O2PIMS) is a comprehensive platform that automates up to 70% of the migration process, helping enterprises move from costly, vendor-locked Oracle databases to scalable, open-source PostgreSQL. It covers end-to-end migration including schema, PL/SQL code, data, and business logic, with built-in validation, real-time sync, and performance tuning to ensure minimal downtime and zero data loss. With strong security, compliance (SOC 2 Type II, GDPR, HIPAA), and flexible engagement models, it enables faster, safer, and more cost-effective modernization for enterprises across industries.
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    ER/Studio Data Architect
    ER/Studio Data Architect is a powerful data modeling solution that helps organizations design, document, and optimize data structures across modern platforms. It enables architects and database professionals to build conceptual, logical, and physical data models that connect business definitions with technical implementation, ensuring consistent meaning and reliable analytics. The platform supports forward and reverse engineering, allowing teams to generate databases from models or reverse engineer existing systems for documentation and improvement. Schema compare and merge tools simplify change management, while visual diagrams make complex data structures easier to understand. ER/Studio supports platforms including SQL Server, Oracle, PostgreSQL, Snowflake, Databricks, and JSON architectures. Automation tools, impact analysis, and the AI-powered ERbert modeling assistant help accelerate model creation while maintaining structured, scalable data architecture.
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    Luna Modeler

    Luna Modeler

    Ideamerit

    Luna Modeler is an easy-to-use data modeling tool for your favorite databases. Design and visualize database structures, generate SQL scripts, and create interactive documentation. Perfect for both pros and beginners, Luna Modeler makes data modeling simple! Supported platforms: - Oracle Database - SQL Server - PostgreSQL - Supabase - NeonDB - MySQL - MariaDB - SQLite Key features: - Database modeling and design - Reverse engineering from Oracle, SQL Server, PostgreSQL, MySQL, MariaDB - Import from SQLite files - Support for SSH/SSL/TLS connections - Generation of interactive HTML reports - Generation of SQL scripts - Project update - Generation of alter scripts for selected database platforms - Various themes and styles for reports - Multiple display modes - Support for sub-diagrams - Headless CLI - Folder based format for team collaboration - Navigator for easy schema exploration
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    Apidog

    Apidog

    Apidog

    Apidog is a complete set of tools that connects the entire API lifecycle, helping R&D teams implement best practices for API Design-first development. Design and debug APIs in a powerful visual editor. Describe and debug easily with JSON Schema support. Automate API lifecycle with Apidog's test generation from API specs, visual assertion, built-in response validation, and CI/CD. Generate visually appealing API documentation, publish to custom domain or securely share with collaborative teams. Local and cloud mock engine generate reasonable mock data according to field names and specifications without writing scripts. Quality tools have the power to unite your entire team, while ensuring that no task is needlessly repeated. Effortlessly describe your API as you test it, and generate JSON/XML schemas with a simple click. Generate test cases from APIs, add assertions visually, and create test scenarios with branches and iterations easily.
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    IRI DarkShield

    IRI DarkShield

    IRI, The CoSort Company

    IRI DarkShield is a powerful data masking tool that can (simultaneously) find and anonymize Personally Identifiable Information (PII) "hidden" in semi-structured and unstructured files and database columns / collections. DarkShield jobs are configured, logged, and run from IRI Workbench or a restful RPC (web services) API to encrypt, redact, blur, etc., the PII it finds in: * NoSQL & RDBs * PDFs * Parquet * JSON, XML & CSV * Excel & Word * BMP, DICOM, GIF, JPG & TIFF DarkShield is one of 3 data masking products in the IRI Data Protector Suite, and comes with IRI Voracity data management platform subscriptions. DarkShield bridges the gap between structured and unstructured data masking, allowing users to secure data in a consistent manner across disparate silos and formats by using the same masking functions as FieldShield and CellShield EE. DarkShield also handles data in RDBs and flat-files, too, but there are more capabilities that FieldShield offers for those sources.
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    Formal

    Formal

    Formal

    Formal is a protocol-aware reverse proxy that secures access to databases, APIs, infrastructure, and AI tools by enforcing least privilege at the wire-protocol level. Deployed as a single stateless binary in a VPC through Terraform, Kubernetes, or Docker, it sits between identities and resources without application changes, SDKs, or agents. Formal parses more than 15 protocols, including PostgreSQL, MySQL, MongoDB, Snowflake, SSH, Kubernetes, HTTP, MCP, S3, Redis, RDP, BigQuery, ClickHouse, and DynamoDB, allowing query-level decisions instead of generic network filtering. Policies can authenticate and authorize users, mask or filter fields, rewrite requests, block actions, require MFA, quarantine sessions, suspend access, or support impersonation across session, request, and response stages. Teams can secure AI agents and MCP servers by stripping PII before it reaches a model, blocking unauthorized tool calls, and auditing every action.
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    SQLife

    SQLife

    Bitifyware

    SQLife is a modern, cross-platform database management tool supporting Oracle, PostgreSQL, MySQL, SQL Server, Redis, MongoDB, Kafka, RabbitMQ and more. Built with JavaFX, it provides an intuitive interface for DBAs and developers. ## Features * Comprehensive Connection Properties with keep-alive * Object Management (tables, views, procedures, triggers, etc.) * Partition/Sub-Partition Table Management * SQL Editor with auto-completion and syntax highlighting * Data Export/Import (SQL, CSV, Excel, JSON, XML, Markdown, PNG) * SQL History with Git integration * Oracle Scheduler Jobs Management * Dark Mode, MCP support, LLM Agent * Schema Comparison, Locks Monitor * SSH Tunnel and Proxy support * i18n: 13 languages
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    webCOMAND

    webCOMAND

    COMAND Systems

    Build models with object-oriented inheritance, hierarchies, custom validations, methods and code. Filter by folder, variant, workflow state and revision, with full keyword search, SQL functions, and expressions. Deliver content in JSON format for any front-end framework: React, Angular, Vue.js, jQuery, Vanilla JS. Create and format multi-channel content with approved visual styles, no markdown or coding is required. Coordinate with teammates with live as-you-type updates, field-level locks, team roles, and custom validations. Customize content per locale, channel, market segment, behavior or anything you can think of. On-boarding, training, support and development services jump-start your project and streamline development. Cloud hosting and storage, 24/7/365 monitoring, an SLA and compliance services means you can rest assured. Clear pricing, flat monthly fees. Pick the best plan as you grow, with no unexpected charges.
    Starting Price: $50.00/month/user
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    BiG EVAL

    BiG EVAL

    BiG EVAL

    The BiG EVAL solution platform provides powerful software tools needed to assure and improve data quality during the whole lifecycle of information. BiG EVAL's data quality management and data testing software tools are based on the BiG EVAL platform - a comprehensive code base aimed for high performance and high flexibility data validation. All features provided were built by practical experience based on the cooperation with our customers. Assuring a high data quality during the whole life cycle of your data is a crucial part of your data governance and is very important to get the most business value out of your data. This is where the automation solution BiG EVAL DQM comes in and supports you in all tasks regarding data quality management. Ongoing quality checks validate your enterprise data continuously, provide a quality metric and supports you in solving the quality issues. BiG EVAL DTA lets you automate testing tasks in your data oriented project.