🛠️Databricks Ships Lakehouse//RT for Real-Time AI Agents
TL;DR
Databricks unveiled Lakehouse//RT at its Data + AI Summit, promising millisecond query latency directly on governed Delta and Iceberg tables. The pitch is to kill the separate real-time serving tier enterprises bolt onto their lakehouse to feed agents.
Databricks unveiled Lakehouse//RT at its Data + AI Summit, promising millisecond query latency directly on governed Delta and Iceberg tables. The pitch is to kill the separate real-time serving tier enterprises bolt onto their lakehouse to feed agents. It targets the lag that makes agents act on stale data.
Key Points
Lakehouse//RT delivers millisecond-latency queries on governed Delta and Iceberg tables
It removes the dedicated real-time serving tier enterprises maintain alongside the lakehouse
Announced at Data + AI Summit 2026 in San Francisco (June 15-18)
Databricks says 100,000+ agents now run on its platform, processing over 1 quadrillion tokens a year
Why It Matters
Agents are only as good as the freshness of the data they read, so folding real-time serving into the lakehouse removes a top reason agents return stale, confident answers in production.
Quick Facts
Frequently Asked Questions
Why does this matter?
Agents are only as good as the freshness of the data they read, so folding real-time serving into the lakehouse removes a top reason agents return stale, confident answers in production.
What happened?
Databricks unveiled Lakehouse//RT at its Data + AI Summit, promising millisecond query latency directly on governed Delta and Iceberg tables. The pitch is to kill the separate real-time serving tier enterprises bolt onto their lakehouse to feed agents.
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