Best Data Management Software for SQL Server - Page 11
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Compare the Top Data Management Software that integrates with SQL Server as of May 2026 - Page 11
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This a list of Data Management software that integrates with SQL Server. Use the filters on the left to add additional filters for products that have integrations with SQL Server. View the products that work with SQL Server in the table below.
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1
TABEX4
BOI Software
TABEX4 runs on all common operating systems and is applicable throughout the company – both on mainframe and server systems. Tables can be maintained efficiently and safely, independent of platform or database. TABEX4 supports import of table data from other software products and memory forms through optimized APIs. Export is possible in diverse ways as well: e.g. pdf, e-mail and other data or store formats. Our TABEX4 FAQs offer you a profound overview of important TABEX4 topics. In the TABEX4 Wiki you will gain expert knowledge about technical questions and challenges. Master public audits smoothly: TABEX4 places absolute priority to transparency and security in processing master data and control data. The TABEX4 Relational Bridge extends TABEX4 by interfaces to relational databases and makes the entire TABEX4 functions available for RDBs. -
2
PiLog
PiLog
PiLog is a leading provider of Master Data Quality Solutions, supporting multiple master data domains in a variety of industries. PiLog solutions are state-of-the-art, focused on creating a common business language and managing the rules for the creation of high-quality, multilingual descriptions for our clients. PiLog provides exclusive technical dictionary content that is the culmination of research, development, and execution over the past twenty years. As The Master Data Experts, the team at PiLog has cleansed tens of millions of records. We have saved clients many millions of dollars by eliminating duplicate inventory and spares, eliminating free-text spend, and driving more effective spend analysis through proper item and service classification. -
3
QueryPie
QueryPie
QueryPie is a centralized platform to manage scattered data sources and security policies all in one place. Put your company on the fast track to success without changing the existing data environment. Data governance is vital to today's data-driven world. Ensure you're on the right side of data governance standards while giving many users access to growing amounts of critical information. Establish data access policies by including key attributes such as IP address and access time. Privilege types can be created based on SQL commands classified as DML, DCL, and DDL to secure data analysis and editing. Manage details of SQL events at a glance and discover user behavior and potential security concerns by browsing logs based on permissions. All histories can be exported as a file and used for reporting purposes. -
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AI2sql
AI2sql.io
With AI2sql, engineers and non-engineers can easily write efficient, error-free SQL queries without knowing SQL. All you need to do is enter a few keywords about your data - AI2sql automatically builds an optimized SQL query for your data resulting in extremely fast performance. We wanted to share some exciting numbers with you about how many people have tried out AI2sql, and what they've been able to accomplish with it. To get the best results with AI2sql, it is important to clearly define your goals and use the tool's customization options, test and verify the generated SQL. You can also try changing the prompts or input used to generate the SQL statements to see if this results in more accurate or efficient queries. -
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AI Query
AI Query
Use simple English and let AI do the heavy lifting for you. With AI Query anyone can create efficient SQL queries, without even knowing a thing about it. Once your database schema is ready, you can easily generate SQL queries with simple text prompts. Let the AI do the work for you.Starting Price: $10 per month -
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NocoDB
NocoDB
NocoDB is an open-source platform that turns any database into a smart spreadsheet. Create unlimited grid view, gallery view, form view from your own data. Search, sort, filter columns and rows with ultra ease. Share views publicly and also with password protection. Turn software consumers into software producers within each organization. -
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Acryl Data
Acryl Data
No more data catalog ghost towns. Acryl Cloud drives fast time-to-value via Shift Left practices for data producers and an intuitive UI for data consumers. Continuously detect data quality incidents in real-time, automate anomaly detection to prevent breakages, and drive fast resolution when they do occur. Acryl Cloud supports both push-based and pull-based metadata ingestion for easy maintenance, ensuring information is trustworthy, up-to-date, and definitive. Data should be operational. Go beyond simple visibility and use automated Metadata Tests to continuously expose data insights and surface new areas for improvement. Reduce confusion and accelerate resolution with clear asset ownership, automatic detection, streamlined alerts, and time-based lineage for tracing root causes. -
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Estuary Flow
Estuary
Estuary Flow is a new kind of DataOps platform that empowers engineering teams to build real-time, data-intensive applications at scale with minimal friction. This platform unifies a team’s databases, pub/sub systems, and SaaS around their data, without requiring new investments in infrastructure or development.Starting Price: $200/month -
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Pantomath
Pantomath
Organizations continuously strive to be more data-driven, building dashboards, analytics, and data pipelines across the modern data stack. Unfortunately, most organizations struggle with data reliability issues leading to poor business decisions and lack of trust in data as an organization, directly impacting their bottom line. Resolving complex data issues is a manual and time-consuming process involving multiple teams all relying on tribal knowledge to manually reverse engineer complex data pipelines across different platforms to identify root-cause and understand the impact. Pantomath is a data pipeline observability and traceability platform for automating data operations. It continuously monitors datasets and jobs across the enterprise data ecosystem providing context to complex data pipelines by creating automated cross-platform technical pipeline lineage. -
10
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 -
11
LightBeam.ai
LightBeam.ai
Discover within minutes if sensitive information lurks in places you never expected (screenshots, logs, tickets, messages, tables). With one click, LightBeam can easily generate executive or delta reports to gain valuable insights into your sensitive data. Automate DSRs leveraging LightBeam's unique PII/PHI graphs comprehensively created from your data infrastructure. Build trust with your users by empowering them to exercise control over their data collection. Continuously monitor how sensitive data is collected, used, shared, and maintained with appropriate safeguards within your organization. -
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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. -
13
Velotix
Velotix
Velotix empowers organizations to maximize the value of their data while ensuring security and compliance in a rapidly evolving regulatory landscape. The Velotix Data Security Platform offers automated policy management, dynamic access controls, and comprehensive data discovery, all driven by advanced AI. With seamless integration across multi-cloud environments, Velotix enables secure, self-service data access, optimizing data utilization without compromising on governance. Trusted by leading enterprises across financial services, healthcare, telecommunications, and more, Velotix is reshaping data governance for the ‘need to share’ era. -
14
Simba
insightsoftware
Common dashboards, reporting, and ETL tools often lack connectivity to certain data sources, creating integration challenges for users. Simba offers ready-to-use, standards-based drivers that ensure compatibility, simplifying the connectivity process. Companies that provide data to customers struggle to offer headache-free, easy data connectivity to their users. Simba’s SDK allows developers to build custom, standards-based drivers, making connectivity more friendly than CSV export or API-based access. Unique backend requirements, such as specific implementation needs dictated by specific applications or internal processes, can complicate connectivity. Using Simba’s SDK or managed services enables the creation of drivers tailored to meet these requirements. Simba provides comprehensive ODBC/JDBC extensibility for a wide range of applications and data tools. Simba Drivers plug into these tools to enhance their offerings, enabling additional connectivity to data sources. -
15
BeagleGPT
BeagleGPT
Proactive data and insights nudges for each user according to their usage pattern, automated heuristic rules, data updates, and user-cohort learnings. The semantic layer is finetuned for organizations with their nomenclatures and terminologies. User roles and preferences are considered while building responses for them. Advanced modules to answer how, why and so what scenarios. A single subscription covers the entire organization, truly propelling data democratization. Beagle is built to nudge you and your team toward data-driven decision-making. It is your personal data assistant that delivers all data-related updates and alerts in your message box. With in-built self-service functionalities, Beagle reduces the total cost of ownership by huge margins. Beagle connects with other dashboards to enhance their power and increase their reach in the organization. -
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Chat2DB
Chat2DB
Save time by working with data. Connect to all your data sources, and instantly generate optimal SQL for fast lightning information. If you don't know SQL well, you can get instant information without writing SQL. Generate high-performance SQL for your complicated queries using natural language, as well as correcting errors and getting AI suggestions to optimize the performance of SQL queries. Developers can write complex SQL queries quickly and accurately with the help of the AI SQL editor, saving time and improving development efficiency. Just enter the names of the tables and columns, and we will automatically configure the type, password, and comment, saving you 90% of the time. Imports and exports data in multiple formats (CSV, XLSX, XLS, SQL) to facilitate exchange, backup, and migration. Transfers data between different databases or through cloud services, as a backup and recovery solution that guarantees the minimum loss of data and downtime during migrations.Starting Price: $7 per month -
17
Gable
Gable.ai
Data contracts facilitate communication between data teams and developers. Don’t just detect problematic changes, prevent them at the application level. Detect every change, from every data source using AI-based asset registration. Drive the adoption of data initiatives with upstream visibility and impact analysis. Shift left both data ownership and management through data governance as code and data contracts. Build data trust through the timely communication of data quality expectations and changes. Eliminate data issues at the source by seamlessly integrating our AI-driven technology. Everything you need to make your data initiative a success. Gable is a B2B data infrastructure SaaS that provides a collaboration platform to author and enforce data contracts. ‘Data contracts’, refer to API-based agreements between the software engineers who own upstream data sources and data engineers/analysts that consume data to build machine learning models and analytics. -
18
Salesforce Data 360
Salesforce
Data 360 is Salesforce’s next-generation data platform, evolving from Data Cloud to unify and activate enterprise data in real time. It connects fragmented data across systems into a single, trusted Customer 360 view without requiring data movement. Through Zero-Copy integrations, Data 360 works directly with platforms like Snowflake, Databricks, BigQuery, and AWS. The platform harmonizes structured and unstructured data to power personalized experiences and intelligent workflows. Built-in identity resolution and governance tools ensure data accuracy, compliance, and privacy. Data 360 enables real-time segmentation, predictive insights, and triggered automation across Salesforce and external applications. It serves as the data foundation for Agentforce, delivering context-rich intelligence to AI agents and business teams. -
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OneTrust Data & AI Governance
OneTrust
OneTrust's Data & AI Governance solution is an integrated platform designed to establish data and AI policies by consolidating insights from data, metadata, models, and risk assessments, providing comprehensive visibility into data products and AI development. It accelerates data-driven innovation by increasing the speed of approval for data products and AI systems. The solution enhances business continuity through continuous monitoring of data and AI systems, ensuring regulatory compliance, effective risk management, and reduced application downtime. It simplifies compliance by centrally defining, orchestrating, and natively enforcing data policies. Key features include consistent scanning, classification, and tagging of sensitive data to ensure the reliable application of data governance policies across structured and unstructured sources. It promotes responsible data usage by enforcing role-based access within a robust data governance framework. -
20
Sequelize
Sequelize
Sequelize is a modern TypeScript and Node.js ORM for Oracle, Postgres, MySQL, MariaDB, SQLite SQL Server, and more. Features solid transaction support, relations, eager and lazy loading, read replication, and more. Define your models with ease and make optional use of automatic database synchronization. Define associations between models and let Sequelize handle the heavy lifting. Mark data as deleted instead of removing it once and for all from the database. Transactions, migrations, strong typing, JSON querying, lifecycle events (hooks), and more. Sequelize is a promise-based Node.js ORM tool for Postgres, MySQL, MariaDB, SQLite, Microsoft SQL Server, Oracle Database, Amazon Redshift, and Snowflake’s Data Cloud. It features solid transaction support, relations, eager and lazy loading, read replication, and more. To connect to the database, you must create a Sequelize instance. -
21
TROCCO
primeNumber Inc
TROCCO is a fully managed modern data platform that enables users to integrate, transform, orchestrate, and manage their data from a single interface. It supports a wide range of connectors, including advertising platforms like Google Ads and Facebook Ads, cloud services such as AWS Cost Explorer and Google Analytics 4, various databases like MySQL and PostgreSQL, and data warehouses including Amazon Redshift and Google BigQuery. The platform offers features like Managed ETL, which allows for bulk importing of data sources and centralized ETL configuration management, eliminating the need to manually create ETL configurations individually. Additionally, TROCCO provides a data catalog that automatically retrieves metadata from data analysis infrastructure, generating a comprehensive catalog to promote data utilization. Users can also define workflows to create a series of tasks, setting the order and combination to streamline data processing. -
22
Lumi AI
Lumi AI
Lumi AI is an enterprise analytics platform that enables users to explore data and extract custom insights through natural language queries, eliminating the need for SQL or Python expertise. It offers self-service analytics, conversational analytics, customizable visualizations, knowledge management, seamless integrations, and robust security features. Lumi AI supports diverse teams, including data analysis, supply chain management, procurement, sales, merchandising, and financial planning, by providing actionable insights tailored to unique business terms and metrics. Its agentic workflows address simple to complex queries, uncover root causes, and facilitate complex analyses, all while interpreting business-specific language. Lumi AI integrates effortlessly with various data sources, ensuring enterprise-grade security by processing data within the client's network and offering advanced user permissions and query controls. -
23
Quest's Archive Manager for Files is an enterprise-grade solution designed to automate the archiving, management, and retrieval of unstructured data across file systems. It seamlessly integrates with Windows Server environments, supporting NTFS, ReFS, NetApp, and EMC VNX file systems. It employs Hierarchical Storage Management (HSM) to move infrequently accessed files to cost-effective storage tiers while maintaining user access through lightweight shortcuts. Key features include single-instance storage to eliminate duplicate files, automatic versioning to track document changes, and retention policies to ensure compliance with legal and regulatory requirements. Archive Manager for Files also offers centralized administration via the Archive Manager Administration Center (AMAC), remote server management, and a web-based interface through ArchiveWeb for end-user access.
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Sangfor DMP is a unified database management solution built on the Sangfor Cloud Platform that simplifies operations and maintenance across the entire lifecycle of relational databases by automating deployment, ensuring high availability through built‑in fault‑handling mechanisms, and safeguarding critical data with robust, transaction‑consistent backups and one‑click disaster recovery failover. It consolidates management into a single console to streamline monitoring, patching, maintenance workflows, and centralized oversight of existing instances, while enforcing standardized best practices to prevent misconfigurations. Real‑time health monitoring and alerting empower proactive issue resolution, and automated operations free IT resources for strategic initiatives. Use cases range from rapid, error‑free database provisioning and centralized management to comprehensive backup and recovery operations that minimize downtime.
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25
Rocket Data Replicate & Sync
Rocket Software
Rocket® Data Replicate and Sync (RDRS) provides high performance, sub-second change data capture (CDC) and bidirectional replication across mainframe, distributed, and cloud environments. It supports a broad set of enterprise sources and modern cloud targets, automatically capturing and applying data changes while adapting formats for each destination. The platform incorporates enterprise-grade encryption, secure connectivity such as site-to-site VPN and SAF controls, and built-in recovery and rollback to maintain data integrity across hybrid environments. By offloading data transformations to cloud compute, RDRS helps reduce mainframe CPU consumption while ensuring analytics, AI/ML, and operational applications receive current data. Supported sources include Db2, VSAM, IMS, Adabas, and Datacom, with delivery to targets such as Kafka, Snowflake, AWS, and Azure—without custom code or operational disruption. -
26
Actian Data Observability
Actian
Actian Data Observability is an AI-powered platform designed to continuously monitor, validate, and manage the health, quality, and reliability of data across modern data environments. It uses automated Data Observability Agents that validate data as it arrives in data lakehouses or warehouses, detecting anomalies, explaining root causes, and coordinating resolution before issues impact dashboards, reports, or AI systems. It provides real-time visibility into data pipelines, ensuring that data remains accurate, complete, and trustworthy throughout its lifecycle. It eliminates blind spots by monitoring 100% of data rather than relying on sampling, allowing organizations to identify hidden errors that could otherwise corrupt analytics or machine learning outcomes. With built-in anomaly detection powered by AI and machine learning, it proactively identifies irregularities such as schema changes, missing data, or unexpected distributions, enabling faster diagnosis and resolution. -
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Actian Data Intelligence Platform is a cloud-native, AI-ready solution designed to transform how organizations discover, understand, govern, and trust their data across complex environments. It unifies capabilities such as data cataloging, metadata management, data governance, lineage, observability, and semantic context into a single platform, creating a central, trusted layer for enterprise data. Powered by a federated knowledge graph, it builds intelligent relationships between data assets, enabling the system to automatically understand context, deliver relevant search results, and provide recommendations for data use. This approach allows both technical and business users to easily find and work with trusted data, improving decision-making and operational efficiency. It continuously monitors data health, enforces governance policies, and generates automated trust signals, ensuring data remains accurate, compliant, and ready for analytics and AI applications.
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AWS Application Migration Service (MGN) is a highly automated lift-and-shift solution designed to simplify, accelerate, and reduce the cost of migrating applications from on-premises environments, private clouds, or other public clouds into AWS. It works by continuously replicating source servers at the block level into an AWS account, preserving the exact configuration of applications, operating systems, and data. When organizations are ready to migrate, the service automatically converts these replicated servers into native AWS resources such as Amazon EC2 instances, enabling fast cutover with minimal downtime and no need to modify applications. It is built to handle large-scale migrations with high compatibility, allowing businesses to move many physical, virtual, or cloud-based servers without performance disruption or lengthy migration windows. It reduces manual effort by automating key processes such as replication, conversion, and launch, minimizing errors.
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HyperCube
BearingPoint
Whatever your business need, discover hidden insights quickly and easily using HyperCube, the platform designed for the way data scientists work. Put your business data to work. Unlock understanding, discover unrealized opportunities, generate predictions and avoid risks before they happen. HyperCube takes huge volumes of data and turns it into actionable insights. Whether a beginner in analytics or a machine learning expert, HyperCube is designed with you in mind. It is the Swiss Army knife of data science, combining proprietary and open source code to deliver a wide range of data analysis features straight out of the box or as business apps, customized just for you. We are constantly updating and perfecting our technology so we can deliver the most innovative, intuitive and adaptable results Choose from apps, data-as-a-services (DaaS) and vertical market solutions. -
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DBIntegrate
Transoft
The latest version of DBIntegrate is now available for download; V.3.0.3.7. This release includes enhancements to CDC, and new features for data de-duplication to help make it easier for users to identify matches. CDC can now also write to a flat-text file on disconnection from the message queue, this file is then read back in to the message queue when it is next available prior to any new messages, this ensures that messages are still sent to the target data source in sequence. The Flat-text file option can also be used as the default CDC option, such as to allow overnight batch file imports into another system. A log loader mechanism is installed alongside this latest release which enables the files to be loaded via the command line utility. DBIntegrate can now write de-duplication merge scores to the DBI_WORK temporary tables. The record that is the master record can also be displayed under a DBI_RecordMerged column.
