DBeaver + VeloDB: Turning Raw Data into Actionable Insights with AI

AI and agents are changing how teams interact with databases. In this live session, we are partnering with DBeaver to show a new workflow in the AI era.

DBeaver Enterprise provides a unified workspace for connecting to different databases, querying, validating, investigating, and sharing data, while VeloDB acts as one engine for analyzing structured data, JSON, full-text, and vector embeddings.

We will demonstrate a live demo that turns raw incident data into a shareable insights answer using DBeaver, VeloDB, and PostgreSQL, with AI-assisted SQL, cross-database data transfer, and hybrid search.

Highlights:

- Transferable workflow: DBeaver Enterprise → connect to VeloDB and combine data from PostgreSQL → generate and verify SQL with AI → analyze and search in VeloDB → inspect results → export and share findings.

- Hybrid search in the AI era: combine full-text, vector, and SQL analytics to surface similar historical data across structured fields, long text, and nested JSON, and turn results into shareable insights.

Speakers:

Zach Antunes, Solutions Architect, DBeaver

Kevin Shen, Principal Product Manager, VeloDB