Data Discovery

#data-discovery

Collate at Enterprise Scale: Supporting Millions of Data Assets & Relations

As companies of all sizes adopt Collate’s managed OpenMetadata service, we address questions from large organizations about the platform’s scalability, as not all systems can easily handle the growing demands of enterprise data platforms. This blog p...

End the 2 AM Pipeline Fixes: Collate Collaborative, Actionable Data Contracts Stop Breaks Before They Start

The broken dashboard at 2 AM. The failing ML model. The frantic Slack message: "Why did this column disappear?" Data teams everywhere face these crises because organizations often manage data reactively, allowing schema changes to occur without warni...

Announcing Collate 1.9

Building on the robust Model Context Protocol (MCP) integration introduced in version 1.8, we've continued focusing on delivering features needed by modern data teams. Today, we’re announcing Collate 1.9 of our managed OpenMetadata service that addre...

Incremental Extraction Improves Metadata Ingestion in Collate

Most traditional data catalogs and metadata systems perform only full extractions: querying metadata for every object in the source system — tables, views, columns, ownership, tags, descriptions — on every scheduled run. While this ensures completene...

Introducing the Model Context Protocol (MCP) in Collate

Organizations need deeper context about their data — not just for human data practitioners but also for AI agents and LLMs. Without this understanding, data practitioners make flawed assumptions, AI agents produce misleading recommendations, and LLMs...

How Collate’s Series A Will Transform Agentic Data Intelligence

I’m excited to announce our $10M Series A financing round, a milestone that accelerates Collate’s mission to transform how data teams at global enterprises and cloud-native startups organize, understand, and govern their data in the era of AI. Led by...