Latest Insights

Singer provides an open-source standard and a set of tools for building data connectors that extract data from various sources and load it into data warehouses or other destinations.

An open-source and commercial platform for testing data quality, automating validation rules, and monitoring data pipelines.

Project Nessie is a Git-like version control system for data lakes that allows users to branch, tag, and time-travel across data snapshots.

OpenMetadata provides an open-source platform for data discovery, governance, and collaboration, enabling organizations to catalog and manage metadata across their data infrastructure.

OpenLineage provides an open standard for capturing and exchanging data lineage metadata between different data processing and cataloging tools.

Metacat is a unified metadata service that lets data engineers query table and schema metadata across multiple distributed data stores from a single API.

Marquez is an open-source metadata service that collects, stores, and visualizes data lineage and data asset metadata across data pipelines.

LakeFS gives data lakes Git-like version control, letting teams branch, commit, merge, and roll back data changes.

Open-source metadata search and discovery platform for finding and cataloging data assets across organizations.

Elementary provides a data observability and control platform that monitors, validates, and governs data pipelines to ensure reliable data for analytics and AI applications.