Serve the current state of the business, continuously, and query what's true right now.
Serve every workload in the form it needs (open tables, SQL, APIs, MCP)
Open standards, no lock-in and no separate serving stack
Build your Streamhouse while serving your operational systems and lakehouses
Query, the fifth pillar of Confluent’s Data Streaming Platform, completes the path from capturing and processing data to serving fresh views of business state.
With Lightning Tables, Tableflow, streaming and snapshot queries, Query makes fresh, governed data directly usable for AI, lakehouses, and any production workload in the form each needs. Together with Connect, Stream, Process, and Govern, it delivers the most complete, performant, and open foundation for a Streamhouse.
Query fulfills the Streamhouse vision
Read blogServe the current state of the business in milliseconds, so AI agents and operational applications can act on what's accurate now – not stale, batch data.
Keep data reusable, portable, and available across platforms, while using the interface that best fits each job.
Exposes Kafka topics as open Iceberg or Delta tables for use across warehouses and lakehouses.
Provides a standard SQL interface for real-time streaming queries and snapshot queries.
Offers SQL, MCP, and API access to fresh operational data in a durable, real-time index.
Serves fresh context to agents through MCP.
Deliver low-latency access to continuously maintained data without syncing it into another database, simplifying architecture and reducing costs.
New developers get $400 in credits during their first 30 days—no sales rep required.
Confluent provides everything you need to:
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