Best Data Governance Software for SQL Data Analysis

Compare the Top Data Governance Software that integrates with SQL Data Analysis as of October 2025

This a list of Data Governance software that integrates with SQL Data Analysis. Use the filters on the left to add additional filters for products that have integrations with SQL Data Analysis. View the products that work with SQL Data Analysis in the table below.

What is Data Governance Software for SQL Data Analysis?

Data governance software helps organizations ensure the quality, consistency, security, and accessibility of their data across the enterprise. These platforms provide tools for defining data policies, standards, and processes, ensuring that data is properly classified, managed, and protected throughout its lifecycle. Data governance software often includes features like data cataloging, lineage tracking, metadata management, and role-based access controls. It supports compliance with data protection regulations such as GDPR and HIPAA, helping businesses maintain regulatory compliance and avoid potential legal risks. By using data governance software, organizations can improve data integrity, enhance decision-making, and foster better collaboration across teams. Compare and read user reviews of the best Data Governance software for SQL Data Analysis currently available using the table below. This list is updated regularly.

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    Collate

    Collate

    Collate

    Collate is an AI‑driven metadata platform that empowers data teams with automated discovery, observability, quality, and governance through agent‑based workflows. Built on the open source OpenMetadata foundation and a unified metadata graph, it offers 90+ turnkey connectors to ingest metadata from databases, data warehouses, BI tools, and pipelines, delivering in‑depth column‑level lineage, data profiling, and no‑code quality tests. Its AI agents automate data discovery, permission‑aware querying, alerting, and incident‑management workflows at scale, while real‑time dashboards, interactive analyses, and a collaborative business glossary enable both technical and non‑technical users to steward high‑quality data assets. Continuous monitoring and governance automations enforce compliance with standards such as GDPR and CCPA, reducing mean time to resolution for data issues and lowering total cost of ownership.
    Starting Price: Free
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