Top 40 Data Governance and Catalog Tools in 2025

Secoda is the revolutionary AI-powered enterprise data platform that combines catalog, lineage, governance, quality monitoring, and observability in one seamless collaborative workspace. Built for enterprise data teams with 100+ native integrations.

Enterprise data catalog with ML-driven metadata discovery, semantic search, and stewardship workflows

Policy-driven data governance with comprehensive lineage, quality, and stewardship workflows

Modern metadata and governance platform built for collaborative data teams

Automated metadata scanning, deep lineage analysis, and comprehensive governance controls

Cloud-native data catalog with classification, search, and compliance features

Native catalog for Google Cloud Platform with tagging, discovery, and policy management

Centralized metadata repository for AWS services with schema management and discovery

Extensible metadata and governance framework with open APIs and community-driven development

Modern, enterprise-ready business intelligence web application for data exploration and visualization

Open-source data quality validation framework for data teams

Open-source data transformation tool that enables data analysts and engineers to transform data in their warehouse

Open-source platform to programmatically author, schedule, and monitor workflows

Open-source distributed event streaming platform for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications

Select Star is an automated data catalog and discovery platform that helps organizations understand their data through intelligent metadata management and column-level lineage.

Amundsen is an open-source data discovery and metadata engine designed to improve the productivity of data analysts, data scientists, and engineers when interacting with data.

data.world is a social data catalog and collaboration platform that combines data cataloging with social features to enable teams to discover, understand, and collaborate on data.

IBM Knowledge Catalog is an enterprise-grade data catalog and governance platform that provides comprehensive metadata management, governance, and discovery capabilities for large organizations.

Talend Data Catalog is a comprehensive data catalog and governance solution that provides metadata management, data lineage, and governance capabilities as part of the Talend data integration platform.

Snowflake is a fully managed cloud data warehouse that provides instant, secure, and governed access to data across your organization with unlimited scale and performance.

BigQuery is Google Cloud's fully managed, serverless data warehouse that enables super-fast SQL queries using the processing power of Google's infrastructure.

Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing BI tools.

Databricks is a unified analytics platform that accelerates innovation by unifying data science, engineering, and business. Built on Apache Spark for massive scale.

PostgreSQL is a powerful, open-source object-relational database system with over 30 years of active development that has earned it a strong reputation for reliability, feature robustness, and performance.

MySQL is the world's most popular open-source relational database management system, known for its reliability, ease of use, and performance.

MongoDB is a source-available cross-platform document-oriented database program. Classified as a NoSQL database program, MongoDB uses JSON-like documents with optional schemas.

Redis is an open-source, in-memory data structure store, used as a database, cache, and message broker. It supports various data structures such as strings, hashes, lists, sets, and sorted sets.

Presto is a distributed SQL query engine designed for interactive queries on data of any size, from gigabytes to petabytes. It was designed and written from the ground up for interactive analytics.

Trino is a fast distributed SQL query engine designed for interactive queries on data of any size, from gigabytes to petabytes. It was forked from Presto and continues to evolve independently.

Starburst is the enterprise distribution of Trino, providing a fast, distributed SQL query engine with enterprise features, support, and governance capabilities.

Apache Atlas is a scalable and extensible set of core foundational governance services that enables enterprises to effectively and efficiently meet their compliance requirements within Hadoop.

DataHub is LinkedIn's metadata platform for the modern data stack. It enables data discovery, data observability, and federated governance to help tame the complexity of the modern data landscape.

Monte Carlo is a data observability platform that helps data teams detect, resolve, and prevent data quality issues before they impact the business.

Anomalo is a data quality monitoring platform that automatically detects data quality issues and provides root cause analysis to help data teams maintain reliable data.

Bigeye is a data reliability platform that helps data teams monitor data quality, detect anomalies, and ensure data is always fresh, accurate, and complete.

Shiny is an R package that makes it easy to build interactive web apps straight from R. Create dashboards, visualizations, and data applications without needing web development skills.

Dash is a Python framework for building analytical web applications. Create interactive, production-ready dashboards and data applications with just Python.

D3.js is a JavaScript library for producing dynamic, interactive data visualizations in web browsers. Create custom visualizations with complete control over the final result.

Dataiku DSS is a collaborative data science platform that enables teams to build and deploy data products. Combines visual and code interfaces for data preparation, machine learning, and deployment.

Alteryx provides a drag-and-drop interface for data blending, advanced analytics, and data science. Enables business analysts to perform complex data transformations without coding.