Best 27 Data Quality Tools for Microsoft SQL Server (2026)

Managed agentic data platform built on OpenMetadata that connects to SQL Server with a SQL login or Windows auth, reads metadata and Query Store history for usage and lineage, and runs profiler and data quality workflows.

Open-source context platform that connects with a SQL login or Windows auth, reads metadata and Query Store history for usage and lineage, and runs profiler and data quality workflows.

Enterprise AI trust platform that connects with a SQL Server login (or Kerberos through an agent), reads information_schema and sys views for lineage, and profiles tables to set metrics and thresholds.

Data and AI observability control plane that connects with a SQL Server login, reads schema and table metadata, and runs read-only SELECT queries to compute monitors.

Data observability, quality, and lineage platform that connects to SQL Server with a read-only db_datareader user, imports tables and columns, and runs freshness, volume, field health, and custom SQL monitors.

Agentic data trust platform with data quality rules, observability, a data catalog, lineage, master data management, and a built-in AI agent.

Self-hosted data observability platform with value-level data validation, column-level lineage, a data catalog, and a business glossary.

Data + AI observability platform that connects to SQL Server with a SQL login or Kerberos account, collects freshness and volume metadata, and runs metric, validation, and custom SQL monitors; lineage is not supported.

Autonomous data and AI platform that connects to SQL Server over JDBC with a SQL login, Managed Identity, or service principal, crawls metadata on a schedule, and runs data quality, reconciliation, and anomaly policies.

Data quality control layer that connects to SQL Server with the Microsoft JDBC driver using a SQL login or Entra ID service principal, reading tables and metadata to profile and scan them.

Open-source data quality operations center that connects over JDBC with a SQL Server user, imports schemas and tables, and runs profiling and monitoring checks such as volume, freshness, and schema changes.

Data observability platform by Datadog that connects to SQL Server with a SQL login and SELECT grants on the schemas to monitor, optionally through an SSH or reverse SSH tunnel.

Agentic data quality and observability platform that connects to SQL Server with a SQL login or Entra ID client credentials, reads query logs and table statistics for lineage and row counts, and runs validators on a schedule.

AI-native data quality platform that profiles and validates SQL Server data and runs the data quality checks you define on it, with automated alerts.

Data quality product by Coalesce, built on SYNQ, that connects to SQL Server with a SQL login, Entra ID, or Windows auth, reads sys catalog views for row counts, sizes, and update times, and runs volume and freshness monitors.

Enterprise data observability platform that connects to SQL Server with a db_datareader SQL login that queries data and metadata of the tables and views to monitor, and scans schemas hourly, daily, or weekly.

Open-source data quality testing tools that connects to SQL Server with a SQL login and SELECT on target tables, and pushes read-only SQL queries into the database to profile, test, and monitor tables.

AI-powered data operations center with data and pipeline observability, cross-platform pipeline lineage, and automated root-cause analysis.

Autonomous data quality monitoring platform where AI agents monitor, investigate, and report issues across structured and unstructured data.

Zero-code data quality software where AI agents auto-discover rules, validate and reconcile data, and score data trust across sources.

AI-native data quality platform built on data contracts that connects to SQL Server with a SQL login or Active Directory authentication and runs data quality scans on the tables over that connection.

Open-source data contracts engine that connects to SQL Server with a SQL login or Active Directory authentication and runs data quality scans on the tables over that connection.

AI-powered data engineering platform that connects with a SQL login that can SELECT the tables to diff, and keeps scratch work in a datafold_tmp schema so processing stays in SQL Server.

Open-source command-line tool for ODCS data contracts that tests SQL Server, Azure SQL, Synapse, and Fabric tables with a SQL login, client ID and secret, or a trusted connection.

Data product marketplace that connects to SQL Server with a SQL login to sync databases and tables as assets, with read-only query execution for AI agents through MCP.

Open-source Python data quality framework that connects to SQL Server with add_sql_server() using SQL Server or Entra ID authentication, then validates tables or SQL queries as batches of data.

Data tests built into open-source dbt Core that run as SQL in Microsoft SQL Server through the dbt-mssql adapter: generic tests such as unique and not_null, custom SQL tests, and unit tests.