Product

Introduction We recently introduced Model Context Protocol (MCP) in Collate, the details of which are covered in this blog. A visual run-thr…

Most traditional data catalogs and metadata systems perform only full extractions: querying metadata for every object in the source system —…

Organizations need deeper context about their data — not just for human data practitioners but also for AI agents and LLMs. Without this und…

Let’s be real, data teams are drowning in manual work. On average, they’re spending around 70% of their time just trying to keep things in o…

As modern organizations work to promote data quality, maintain compliance, and enable cross-team collaboration, the evolving nature of data …

As data and teams scale, managing metadata manually becomes increasingly complex. What starts as simple tasks—assigning ownership, writing d…

In large-scale data operations, data is continuously transformed, migrated, and replicated across different systems. Ensuring the consistenc…

The Collate team is excited to announce the launch of MetaPilot, a new generative AI application built on the Collate platform (powered by t…

Sriharsha Chintalapani, CTO The Collate unified platform for discovery, observability, and governance is built on the open source OpenMetada…

Data quality and reliability are two top priorities for organizations. Many organizations have made considerable investments in Data Quality…

And unlock Collaboration, Data Quality, Data Insights, and more! Amundsen is one of the OSS Data Catalogs that was developed by Lyft and was…

Extracting Metadata from Every Corner: The evolution of the Ingestion Framework at OpenMetadata How we built the Ingestion Framework The fir…

With OpenMetadata v0.12.0 onwards, users can create and execute test suites directly from the user interface for Data Quality. While this ap…