OpenMetadata Maker Collate Launches AI Analytics for Chat-Driven Dashboards
Ditch separate BI tools: Collate's new chat-based analytics simplifies the entire analyst workflow.
Collate Inc., the commercial entity behind the popular open-source data catalog OpenMetadata, has introduced Collate AI Analytics — a conversational AI tool designed to supercharge data analysts' productivity. The product allows analysts to interact with their data infrastructure using natural language: they can ask questions to discover relevant data sources, generate SQL queries automatically, and even assemble full dashboards without ever leaving a chat interface. This approach collapses what traditionally requires multiple specialized tools — data catalogs, query editors, and BI platforms — into a single, unified experience.
Currently available to existing Collate customers, the tool will reach general availability in the first week of May. By embedding AI directly into the data discovery and analytics pipeline, Collate aims to reduce the friction analysts face when switching between tools, querying complex schemas, and manually building visualizations. Early adopters report significant time savings in routine data exploration and dashboard creation tasks, though the company hasn't released specific performance benchmarks yet. For organizations already using OpenMetadata or Collate's data governance platform, this new capability tightens the loop from data discovery to insight generation.
- Collate AI Analytics uses plain-language prompts to find data sources, write queries, and build dashboards.
- It eliminates the need for separate data engineering and business intelligence tools.
- Available to existing customers now; general availability in the first week of May.
Why It Matters
Collate's chat-driven analytics promises to cut tool-switching overhead and speed up insight generation for data teams.