Top 23 Data Governance and Catalog Tools in 2025

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

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.

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.

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.

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.

KNIME is an open-source analytics platform for data science that allows users to create data flows, execute analysis, and deploy models through a visual interface.

Soda Core is an open-source framework for data quality testing. Write data quality checks in YAML and integrate with your data pipeline to ensure data reliability.

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

Prefect is a modern workflow orchestration platform that makes it easy to build, run, and monitor data workflows. It provides a Python-native approach to workflow management with excellent observability.

Dagster is a data orchestration platform for the development, production, and observation of data assets. It provides a unified approach to data engineering with strong typing and testing capabilities.