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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...

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...

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...

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...

Imagine a hospital that retains patient intake forms, chat logs with family members, voice‑recorded patient calls, all tucked away in old storage systems. A critical trend emerges: patients suffering from recurring complications that no one notices—b...

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...
