The Metadata Platform for your Data and AI Stack

OpenMetadata is a unified metadata platform for data discovery, data observability, and data governance powered by a central metadata repository, in-depth column level lineage, and seamless team collaboration.

The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.

⚡ Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io

Collect, aggregate, and visualize a data ecosystem's metadata

SQL Lineage Analysis Tool powered by Python

First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.

Egeria core

Titan Core - Snowflake infrastructure-as-code. Provision environments, automate deploys, CI/CD. Manage RBAC, users, roles, and data access. Declarative Python Resource API. Change Management tool for the Snowflake data warehouse.

Metrics Observability & Troubleshooting

Generate and Visualize Data Lineage from query history

Main repo including core data model, data marts, reference data, terminology, and the clinical concept library

Open Source Data Quality Monitoring.

Reference implementation for real-time Data Lineage tracking for BigQuery using Audit Logs, ZetaSQL and Dataflow.

This Apache Atlas is built from the latest release source tarball and patched to be run in a Docker container.

Pebblo enables developers to safely load data and promote their Gen AI app to deployment

ODD Specification is a universal open standard for collecting metadata.

HiveMQ Edge is an MQTT gateway that enables interoperability between OT devices and IT systems. It translates diverse protocols into MQTT for streamlined communication and helps organize data into a unified namespace, making managing and streaming data across your infrastructure easier.

Egeria's Guidance on Governance as well as large media files such as presentations and movies

Mapping of DWH database tables to business entities, attributes & metrics in Python, with automatic creation of flattened tables