Alternatives to Fraoula Data Auditor
Compare Fraoula Data Auditor alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Fraoula Data Auditor in 2026. Compare features, ratings, user reviews, pricing, and more from Fraoula Data Auditor competitors and alternatives in order to make an informed decision for your business.
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SCIKIQ
SCIKIQ
SCIKIQ is an AI-native Data & Intelligence Platform designed to help enterprises make their data trusted, governed, connected, and ready for AI in weeks rather than years. Recognized by Forrester, NASSCOM League of 10, YourStory Tech30, Inc42, and DataIQ, SCIKIQ supports enterprises across the USA, India, UK, and UAE. SCIKIQ brings together Data Integration, Data Quality, Data Governance, Metadata Management, Data Lineage, Semantic Intelligence, Knowledge Graphs, Conversational Analytics, Generative AI, Data Products, and AI Agents within one unified platform. Unlike traditional data platforms that often require extensive replatforming or migration, SCIKIQ works with an enterprise’s existing technology ecosystem. Organizations can connect SAP, Salesforce, Oracle, Snowflake, Databricks, AWS, Azure, GCP, data lakes, data warehouses, and enterprise applications through 200+ pre-built connectors, without rip-and-replace. Contextual Intelligence at the Core SCIKIQ goes beyond connecting data by helping AI understand the business context behind it. Its semantic intelligence layer brings together business terminology, KPI definitions, metadata, lineage, ownership, business rules, ontologies, and relationships to create a trusted context layer for enterprise analytics and AI. Business users can ask questions in natural language, investigate KPIs, identify root causes, and generate insights without writing SQL. Data teams gain enterprise-grade capabilities for data integration, quality, governance, lineage, metadata, and control. AI teams gain trusted, contextual enterprise data for building Generative AI applications, copilots, and intelligent AI agents. Why Enterprises Choose SCIKIQ AI-ready in 3–6 weeks | 200+ connectors | 99.9% availability | No-code | Multi-cloud | No vendor lock-in | No replatforming SCIKIQ has production deployments across industries including manufacturing, retail, aviation, logistics, BFSI, healthcare, and other data-intensive enterprises. -
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D&B Connect
Dun & Bradstreet
Realize the true potential of your first-party data. D&B Connect is a customizable, self-service master data management solution built to scale. Eliminate data silos across the organization and bring all your data together using the D&B Connect family of products. Benchmark, cleanse, and enrich your data using our database of hundreds of millions of records. The result is an interconnected, single source of truth that empowers your teams to make more confident business decisions. Drive growth and reduce risk with data you can trust. With a clean, complete data foundation, your sales and marketing teams can align territories with a full view of account relationships. Reduce internal conflict and confusion over incomplete or bad data. Strengthen segmentation and targeting. Increase personalization and the quality/quantity of marketing-sourced leads. Improve accuracy of reporting and ROI analysis. -
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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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DataBuck
FirstEigen
DataBuck is an AI-powered data validation platform that automates risk detection across dynamic, high-volume, and evolving data environments. DataBuck empowers your teams to: ✅ Enhance trust in analytics and reports, ensuring they are built on accurate and reliable data. ✅ Reduce maintenance costs by minimizing manual intervention. ✅ Scale operations 10x faster compared to traditional tools, enabling seamless adaptability in ever-changing data ecosystems. By proactively addressing system risks and improving data accuracy, DataBuck ensures your decision-making is driven by dependable insights. Proudly recognized in Gartner’s 2024 Market Guide for #DataObservability, DataBuck goes beyond traditional observability practices with its AI/ML innovations to deliver autonomous Data Trustability—empowering you to lead with confidence in today’s data-driven world. -
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QVscribe
QRA
QVscribe, QRA's flagship product, unifies stakeholders by ensuring clear, concise artifacts. It automatically evaluates requirements, identifies risks, and guides engineers to address them. QVscribe simplifies artifact management by eliminating errors and verifying compliance with quality and industry standards. QVscribe Features: Glossary Integration: QVscribe now adds a fourth dimension by ensuring consistency across teams using different authoring tools. Term definitions appear alongside Quality Alerts, Warnings, and EARS Conformance checks within the project context. Customizable Configurations: Tailor QVscribe to meet specific verification needs for requirements, including business and system documents. This flexibility helps identify issues early before estimates or development progress. Integrated Guidance: QVscribe offers real-time recommendations during the editing process, helping authors effortlessly correct problem requirements and improve their quality. -
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Immuta
Immuta
Immuta is the market leader in secure Data Access, providing data teams one universal platform to control access to analytical data sets in the cloud. Only Immuta can automate access to data by discovering, securing, and monitoring data. Data-driven organizations around the world trust Immuta to speed time to data, safely share more data with more users, and mitigate the risk of data leaks and breaches. Founded in 2015, Immuta is headquartered in Boston, MA. Immuta is the fastest way for algorithm-driven enterprises to accelerate the development and control of machine learning and advanced analytics. The company's hyperscale data management platform provides data scientists with rapid, personalized data access to dramatically improve the creation, deployment and auditability of machine learning and AI. -
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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.Starting Price: $825 per month -
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Data Quality Validator (DQV)
Kumaran Systems
DQV is Kumaran Systems' data quality and testing platform for teams who move, mask, or validate large volumes of data. It compares source and target datasets field by field, flags drift, and generates a mismatch report instead of manual spreadsheet checks. It covers five areas: field-level comparison with drift detection, migration mapping between schemas, deterministic PII masking, record- and table-level validation with on-the-fly correction, and synthetic data generation for teams without production data to test against. It connects to SQL Server, Oracle, MySQL, PostgreSQL, AWS, Azure, GCP, flat files, JSON, XML, and REST APIs, and plugs into Informatica, Databricks, and CI/CD pipelines, or runs standalone as a library or CLI tool. In production, DQV has validated 26.6 million bank records in under 22 minutes. A free trial is available, alongside individual, enterprise, and on-premises licensing. -
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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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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.Starting Price: $21000/annual -
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Innodata
Innodata
We Make Data for the World's Most Valuable Companies Innodata solves your toughest data engineering challenges using artificial intelligence and human expertise. Innodata provides the services and solutions you need to harness digital data at scale and drive digital disruption in your industry. We securely and efficiently collect & label your most complex and sensitive data, delivering near-100% accurate ground truth for AI and ML models. Our easy-to-use API ingests your unstructured data (such as contracts and medical records) and generates normalized, schema-compliant structured XML for your downstream applications and analytics. We ensure that your mission-critical databases are accurate and always up-to-date. -
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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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Qualytics
Qualytics
Helping enterprises proactively manage their full data quality lifecycle through contextual data quality checks, anomaly detection and remediation. Expose anomalies and metadata to help teams take corrective actions. Automatically trigger remediation workflows to resolve errors quickly and efficiently. Maintain high data quality and prevent errors from affecting business decisions. The SLA chart provides an overview of SLA, including the total number of SLA monitoring that have been performed and any violations that have occurred. This chart can help you identify areas of your data that may require further investigation or improvement. -
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Verodat
Verodat
Verodat is a SaaS platform that gathers, prepares, enriches and connects your business data to AI Analytics tools. For outcomes you can trust. Verodat automates data cleansing & consolidates data into a clean, trustworthy data layer to feed downstream reporting. Manages data requests to suppliers. Monitors the data workflow to identify bottlenecks & resolve issues. Generates an audit trail to evidence quality assurance for every data row. Customize validation & governance to suit your organization. Reduces data prep time by 60%, allowing data analysts to focus on insights. The central KPI Dashboard reports key metrics on your data pipeline, allowing you to identify bottlenecks, resolve issues and improve performance. The flexible rules engine allows users to easily create validation and testing to suit your organization's needs. With out of the box connections to Snowflake, Azure and other cloud systems, it's easy to integrate with your existing tools. -
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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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Revefi Data Operations Cloud
Revefi
Your zero-touch copilot for data quality, spending, performance, and usage. Your data team won’t be the last to know about broken analytics or bottlenecks. We pull out anomalies and alert you right away. Improve your data quality and eliminate downtimes. When performance trends the wrong way, you’ll be the first to know. We help you connect the dots between data usage and resource allocation. Reduce and optimize costs, and allocate resources effectively. We slice and dice your spending areas by warehouse, user, and query. When spending trends the wrong way, you get a notification. Get insights on underutilized data and its impact on your business value. Revefi constantly watches out for waste and surfaces opportunities for you to better rationalize usage with resources. Say goodbye to manual data checks with automated monitoring built on your data warehouse. You can find the root cause and solve issues within minutes before they affect your downstream users.Starting Price: $299 per month -
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LibreDB Studio
Sekoya Tech
LibreDB Studio is an open-source database IDE that runs on infrastructure you control and provides a browser-based workspace, with platform-specific local installation options. It supports connections to a range of relational, document, key-value, and analytics databases. Database professionals can browse schemas and objects, write and run queries, inspect execution plans, compare schemas, and view relationships in ER diagrams. The workspace also includes query history and audit records, session and query monitoring, role-based access controls, and OpenID Connect single sign-on. Designed for developers, data engineers, and database administrators, Studio can be deployed near the databases it accesses, keeping connections within a private network. The self-hosted software is available under the MIT license.Starting Price: $0 -
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Crux
Crux
Find out why the heavy hitters are using the Crux external data automation platform to scale external data integration, transformation, and observability without increasing headcount. Our cloud-native data integration technology accelerates the ingestion, preparation, observability and ongoing delivery of any external dataset. The result is that we can ensure you get quality data in the right place, in the right format when you need it. Leverage automatic schema detection, delivery schedule inference, and lifecycle management to build pipelines from any external data source quickly. Enhance discoverability throughout your organization through a private catalog of linked and matched data products. Enrich, validate, and transform any dataset to quickly combine it with other data sources and accelerate analytics. -
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Lyons Quality Audit Tracking LQATS
Lyons Information Systems
Lyons Quality Audit Tracking System (LQATS)® is a robust, flexible, web-based solution to gather, analyze and display quality audit results generated by staff and suppliers of a manufacturing organization. LQATS gathers real time audit information worldwide from: Suppliers (shipment audits) Company auditors (final audits) Distribution centers Manufacturing plants LQATS provides real-time entry, tracking, and analysis of quality audit data from Distribution Centers and Supplier plant locations. Features include: "Smart controls" to minimize user data entry and retrieval tasks Change History tracking Quick search of data using many different query parameters Real-time global performance monitor Fabric Inspections Six-sigma analysis Disposition log Data displayed in both tabular and graphical formats with output to Excel, PDF, format -
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DataFirst AI
Jade Global
DataFirst AI by Jade Global is a comprehensive platform that ensures your data is ready for AI success. Assess, enrich, and improve data quality across multiple domains to unlock actionable insights and drive business outcomes. Reduce risks, improve decision-making, and accelerate AI adoption with a structured, enterprise-grade approach. Key Features: - Multi-dimensional data assessment & maturity scoring - Gap analysis and readiness heatmaps - Automated data cleansing and enrichment - AI-ready data transformation Benefits: - Achieve up to 95%+ data quality - Reduce AI project failure risks - Enable faster, smarter AI implementations -
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Union Pandera
Union
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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Typo
Typo
TYPO is a data quality solution that provides error correction at the point of entry into information systems. Unlike reactive data quality tools that attempt to resolve data errors after they are saved, Typo uses AI to proactively detect errors in real-time at the initial point of entry. This enables immediate correction of errors prior to storage and propagation into downstream systems and reports. Typo can be used on web applications, mobile apps, devices and data integration tools. Typo inspects data in motion as it enters your enterprise or at rest after storage. Typo provides comprehensive oversight of data origins and points of entry into information systems including devices, APIs and application users. When an error is identified, the user is notified and given the opportunity to correct the error. Typo uses machine learning algorithms to detect errors. Implementation and maintenance of data rules is not necessary. -
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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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Mitzu
Mitzu.io
Mitzu is an agentic analytics platform that runs your analytics directly on your data warehouse — no data copying, no reverse ETL, no SQL required. Its AI analytics agent answers business questions autonomously: it maps your schema, writes and executes queries on Snowflake, BigQuery, Redshift, Databricks, or ClickHouse, and returns explainable results with full SQL visibility. Teams get instant access to funnels, retention, cohorts, user journeys, and revenue metrics. Mitzu also proactively monitors KPIs and sends anomaly alerts via Slack or email. Available as SaaS, BYOC, or fully self-hosted. Free trial available at mitzu.ioStarting Price: $35 per month -
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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.Starting Price: $500 -
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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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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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QuerySurge
RTTS
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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EY Virtual Internal Auditor (EY VIA) is a flexible and intuitive digital platform with holistic risk coverage across the organization’s audit universe. EY VIA generates deeper insights to help enable you to respond faster and make data-driven business decisions. Single platformed solution providing complete coverage of your entire organization across regions, units, risks, processes and transactions, powered by data and analytics. Historic shift from sampling to full population testing allows you to thoroughly assess your organization’s risk exposure. Leverage the power of data to generate value-based insights that help you prioritize risks that matter the most and better anticipate future risks. Completely modular solution providing you the flexibility to choose functionalities based on your organization’s maturity.
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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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Datactics
Datactics
Profile, cleanse, match and deduplicate data in drag-and-drop rules studio. Lo-code UI means no programming skill required, putting power in the hands of subject matter experts. Add AI & machine learning to your existing data management processes In order to reduce manual effort and increase accuracy, providing full transparency on machine-led decisions with human-in-the-loop. Offering award-winning data quality and matching capabilities across multiple industries, our self-service solutions are rapidly configured within weeks with specialist assistance available from Datactics data engineers. With Datactics you can easily measure data to regulatory & industry standards, fix breaches in bulk and push into reporting tools, with full visibility and audit trail for Chief Risk Officers. Augment data matching into Legal Entity Masters for Client Lifecycle Management. -
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TeamMate+ Audit
Wolters Kluwer
TeamMate+ Audit is a leading audit management software designed to support internal audit teams through the entire audit lifecycle. From annual audit planning and risk assessment to fieldwork, reporting, issue tracking, and follow-up, TeamMate+ provides an end-to-end workflow built specifically for audit professionals. The platform enables real-time collaboration, integrates seamlessly with existing business systems, and helps auditors collect, manage, and analyze data efficiently. With a strong focus on risk-based planning and execution, TeamMate+ empowers audit teams to deliver timely, high-quality insights to stakeholders. -
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Foundational
Foundational
Identify code and optimization issues in real-time, prevent data incidents pre-deploy, and govern data-impacting code changes end to end—from the operational database to the user-facing dashboard. Automated, column-level data lineage, from the operational database all the way to the reporting layer, ensures every dependency is analyzed. Foundational automates data contract enforcement by analyzing every repository from upstream to downstream, directly from source code. Use Foundational to proactively identify code and data issues, find and prevent issues, and create controls and guardrails. Foundational can be set up in minutes with no code changes required. -
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Wiiisdom Ops
Wiiisdom
In today’s world, leading organizations are leveraging data to win over their competitors, ensure customer satisfaction and find new business opportunities. At the same time, industry-specific regulations and data privacy rules are challenging traditional technologies and processes. Data quality is now a must-have for any organization but it often stops at the doors of the BI/analytics software. Wiiisdom Ops helps your organization ensure quality assurance within the analytics component, the last mile of the data journey. Without it, you’re putting your organization at risk, with potentially disastrous decisions and automated disasters. BI Testing at scale is impossible to achieve without automation. Wiiisdom Ops integrates perfectly into your CI/CD pipeline, guaranteeing an end-to-end analytics testing loop, at lower costs. Wiiisdom Ops doesn’t require engineering skills to be used. Centralize and automate your test cases from a simple user interface and share the results. -
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Novatek Environmental Monitoring Software
Novatek International
The Novatek Environmental Monitoring (EM) Software Solution is an industry proven standard with over 20 years of industry use, for managing controlled environments. As a true “Off the Shelf” solution, the core of our Environmental Monitoring software has evolved in response to years of user specifications, and regulatory requirements, through a continuous improvement process. The result is a powerful and compliant solution, designed to evaluate, manage, and reduce the risks associated with everyday Environmental Monitoring. Novatek’s Environmental Monitoring software is a process based solution that maps to your entire sampling workflow. The software controls the process as a whole, not just scheduling for individual sampling points, but also capturing all critical quality control parameters. By enforcing compliance with standard operating procedures, Novatek’s Environmental Monitoring facilitates cGMP and following best practices. -
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Datagaps DataOps Suite
Datagaps
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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Cleanlab
Cleanlab
Cleanlab Studio handles the entire data quality and data-centric AI pipeline in a single framework for analytics and machine learning tasks. Automated pipeline does all ML for you: data preprocessing, foundation model fine-tuning, hyperparameter tuning, and model selection. ML models are used to diagnose data issues, and then can be re-trained on your corrected dataset with one click. Explore the entire heatmap of suggested corrections for all classes in your dataset. Cleanlab Studio provides all of this information and more for free as soon as you upload your dataset. Cleanlab Studio comes pre-loaded with several demo datasets and projects, so you can check those out in your account after signing in. -
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D&B Optimizer
D&B Optimizer
D&B Optimizer removes bad data. Sales People who trust their CRM will be far more effective and will always have correct, updated data resulting in pin-sharp targeting and a massively better customer experience. And a happy, successful salesforce! D&B Optimizer is a secure cloud-based platform to enhance your marketing and sales data, helps you profile your best opportunities, and reach your target audiences. It comes loaded with advanced analytics and easy integration into your marketing systems with connectors for Salesforce and Microsoft. D&B Optimizer not only unlocks the value of your current data but enhances the new data you collect every day while driving more effective segmentation and targeting to accelerate growth in your business. Keeping data up to date is an uphill struggle for sales and marketing teams. In fact, Salesforce estimates that 91 percent of CRM data is incomplete and 70 percent of that data decays annually. -
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Melissa Clean Suite
Melissa
What is Melissa Clean Suite? Melissa’s Clean Suite (previously Melissa Listware) fights dirty data in your Salesforce®, Microsoft Dynamics CRM®, or Oracle CRM and ERP platforms by verifying, standardizing, correcting and appending your customer contact data records. The result – clean, vibrant, valuable data you can use for squeaky clean omnichannel marketing and sales success. • Autocomplete, verify and correct contacts before they enter the CRM • Add valuable demographic and firmographic data for effective lead scoring, targeting and segmentation • Keep contacts clean and up-to-date for improved sales follow up and marketing initiatives •Protect the quality of your customer data with real-time, point of entry data cleansing or batch processing Data drives every aspect of customer communication, decision making, analytics and strategy. But, dirty data – stale, incorrect or incomplete data – leads to an inaccurate view of your customers, inefficient operations -
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DistillerSR
DistillerSR Inc.
Automate every stage of your systematic literature review to securely produce evidence-based research faster and more accurately. DistillerSR automates the management of literature collection, triage, and assessment using AI and intelligent workflows. DistillerSR makes any project, large or small, simpler to manage and configure to produce transparent, audit ready, and compliant literature reviews. Search more efficiently with DistillerSR’s integrations with data providers, such as PubMed, automatic review updates, and AI-powered duplicate detection and removal. Automatically import newly published references, always keeping literature reviews up-to-date. Detect and remove duplicate citations preventing skew and bias caused by studies included more than once. Reduce your screening burden by 60% with DistillerSR. Start working on later stages of your review sooner and more accurately by finding relevant references faster and addressing conflicts more easily.Starting Price: $215 per user per month -
41
Opinionmeter
Opinionmeter
Turn feedback and operational data into actionable insights. Collect feedback, score, benchmark, and operationalize actionable insights. Over 9 million surveys, forms and sensory ballots completed across multiple industries. Customer Experience, Employee Engagement, Patient Experience. Eliminate guesswork by identifying problems and taking corrective action. Compliance, Risk Assessment, Audit and more. Collect consistent data, identify and remedy safety and compliance issues faster. Sensory evaluation ballot. Data capture and analytics for the Food/Beverage and Consumer goods sensory evaluation.Starting Price: $95.00/month -
42
Schema Synth
Schema Synth
Schema Synth is an AI-powered JSON-LD schema markup tool that generates, validates, and audits structured data. It helps SEO professionals and web developers implement correct schema markup for rich results, AI citations, and knowledge panels — without hand-coding JSON-LD or switching between fragmented tools. Describe your content in natural language and Schema Synth generates schema.org-compliant JSON-LD using AI. It validates against schema.org standards in real time, catches errors before deployment, and audits existing pages for missing or broken markup. Supports all major schema types: FAQ, Product, Article, LocalBusiness, HowTo, Review, Event, Organization, and more. Works with any site — WordPress, Shopify, Webflow, static HTML, React, Vue — no CMS lock-in.Starting Price: $15/month -
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Maetra
Maetra
Maetra is an AI governance and compliance control plane for teams operating tool-using AI agents. Discover inventories agents and capabilities; Comply maps systems to applicable frameworks and keeps reusable evidence current; Govern evaluates consequential actions against versioned policies and routes human approval when required. Secure scans prompts, messages, model outputs, and tool calls for prompt injection, data exposure, unsafe actions, and policy violations. Task Guard detects task drift, scope changes, and mismatched effects. Interaction Guard protects supported browser-AI prompts and files, while Audit preserves linked decision, approval, runtime, and change evidence. Teams can adopt modules separately or together through the web app, REST APIs, SDKs, and MCP. A 14-day no-card trial is available, with paid plans from $20/month.Starting Price: $20/month -
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Synthesized
Synthesized
Power up your AI and data projects with the most valuable data At Synthesized, we unlock data's full potential by automating all stages of data provisioning and data preparation with a cutting-edge AI. We protect from privacy and compliance hurdles by virtue of the data being synthesized through the platform. Software for preparing and provisioning of accurate synthetic data to build better models at scale. Businesses solve the problem of data sharing with Synthesized. 40% of companies investing in AI cannot report business gains. Stay ahead of your competitors and help data scientists, product and marketing teams focus on uncovering critical insight with our simple-to-use platform for data preparation, sanitization and quality assessment. Testing data-driven applications is difficult without representative datasets and this leads to issues when services go live. -
45
SnowcatCloud
SnowcatCloud
SnowcatCloud is a cloud-hosted customer data infrastructure platform built on an open source Snowplow fork (OpenSnowcat) that enables organizations to collect, process, route, and integrate behavioral and event-level data at scale across web, mobile, server, and IoT sources so teams can build a real-time, first-party customer 360 view while retaining full ownership and control of their data; it supports multiple deployment models including cloud-hosted, fully managed service, “bring your own cloud,” and self-hosted open-source options to suit different privacy, cost, and infrastructure needs, all with enterprise-grade security (SOC 2 Type II) and real-time data delivery capabilities. It enriches event pipelines with identity resolution techniques like browser fingerprinting and probabilistic/deterministic matching to improve customer profiles, helps create a customer knowledge graph for deeper insights, and integrates with analytics and data warehouses.Starting Price: Free -
46
SAS Viya
SAS
SAS Viya is a cloud-native data and AI platform that unifies data management, analytics, AI modeling, and governance within a single environment. The platform helps organizations build, validate, deploy, and govern AI models with transparency, fairness, and auditability built into the entire lifecycle. SAS Viya provides seamless access to data across multiple sources and platforms while maintaining governance, lineage tracking, and compliance controls. Businesses can use the platform to accelerate AI model training, improve workflow productivity, and operationalize data-driven decisions at scale. SAS Viya also supports AI agents through the SAS Viya MCP Server, enabling secure integration of AI-powered tools and decision-making processes. The platform is designed to support cloud, hybrid, and on-premises deployments for greater flexibility across enterprise environments. -
47
Syniti Data Quality
Syniti
Data has the power to disrupt markets and break new boundaries, but only when it’s trusted and understood. By leveraging our AI/ML-enhanced, cloud-based solution built with 25 years of best practices and proven data quality reports, stakeholders in your organization can work together to crowdsource data excellence. Quickly identify data quality issues and expedite remediation with embedded best practices and hundreds of pre-built reports. Cleanse data in advance of, or during, data migration, and track data quality in real-time with customizable data intelligence dashboards. Continuously monitor data objects and automatically initiate remediation workflows and direct them to the appropriate data owners. Consolidate data in a single, cloud-based platform and reuse knowledge to accelerate future data initiatives. Minimize effort and improve outcomes with every data stakeholder working in a single system. -
48
Neverfail Auditmation
Neverfail
The Neverfail audit automation (Auditmation™) platform delivers an unbiased, machine-based assessment tool that enables auditors and vendor managers to perform immutable assessments of real-time compliance, risk, and security postures through automated evidence collection, control testing, and remediation. As an external, machine-driven process, Auditmation™ does not relay on people, tools, questionnaires, or scans. Instead, it relies solely on machine-validated truth as the path to actual risk assurance. Companies rely on a complex and ever-changing IT environment to underpin nearly all aspects of business operations. The increasing reliance of business on applications makes downtime and data loss unacceptable. Only the Neverfail Continuity Engine delivers continuous availability that businesses, their users, and their customers demand for their most important business services. -
49
ZEVA
CodeLynx
Zeva provides a highly intuitive interface and utilizes Microsoft’s Azure Cloud to provide a robust and secure hosted environment to scale from small organizations with fewer than 10 users to global enterprises with over 10,000 employees. What makes ZEVA a value proposition, for any organization, is the ability to create and manage an unlimited number of custom assessments, while providing real time data and analytics to decision makers and management anywhere in the world. Mitigate risk and maintain compliance with centralized secure hosting, improved reporting, and real-time dashboards and analytics. Items identified with “Findings” can be immediately assigned corrective measures to ensure timely remediations. The CodeLynx team developed the ZEVA platform to support the evolving evaluation requirements of commercial and government organizations of any size. -
50
ManyPI
ManyPI
ManyPI is a modern web data extraction and API generation platform that turns any website into a type-safe, structured API with schema definition, extraction, transformation, and synchronization built into one system, enabling developers and data teams to reliably gather clean JSON data without building custom scrapers. Its AI-powered workflow lets users specify a site and the fields they need, automatically defines a schema with risk assessment, generates a production-ready API in seconds, and delivers structured data through a RESTful, developer-friendly interface with SDKs, type safety, and predictable JSON responses. ManyPI supports scalable extraction tasks, global infrastructure for performance and uptime, and integration into existing apps or pipelines via code or dashboard, and it also provides visual schema building and connectors for no-code platforms like Zapier and Make, so workflows can automate data collection, enrichment, and reporting without heavy engineering.Starting Price: $5 per month
