RisingWave: The Real-Time Event Streaming Platform for Agentic AI
RisingWave is a distributed SQL streaming database that ingests, transforms, and serves event streams to AI agents with sub-second latency — no Kafka or Flink required.
RisingWave is a distributed SQL streaming database purpose-built for the age of agentic AI. Where traditional pipelines dump events into Kafka and batch-process them hours later, RisingWave continuously ingests, transforms, and serves event streams with sub-second latency — directly to AI agents, LLM applications, and data pipelines.
🚀 Want to deploy RisingWave yourself?
Docker configs, system requirements, and installation guides — all on one page.
View RisingWave Tool Page →Why streaming matters for AI agents
AI agents are only as good as the data they can react to. A support agent that sees a refund event 15 minutes late makes the wrong decision; a fraud agent that misses a burst of login attempts fails its job entirely. RisingWave closes that gap: it treats your event stream as a live, queryable table that agents can read in real time.
Postgres-compatible SQL, zero new skills
You do not need to learn Kafka Streams, Flink SQL, or a proprietary DSL. RisingWave speaks Postgres-compatible SQL, so any developer who knows a SELECT statement can build stateful stream processing. Windows, joins, aggregations, and time-based filters all work exactly as expected — minus the infrastructure headache.
What's under the hood
| Feature | Benefit |
|---|---|
| Materialized views | Continuously updated results, queryable like tables |
| Postgres compatibility | Use your existing SQL skills and ecosystem |
| Elastic scaling | From a single laptop to production clusters |
| Apache-2.0 license | Free to self-host, modify, and embed |
💡 Use case: Feed live clickstream data into an LLM-powered recommendation agent — RisingWave computes per-user aggregates continuously, so the agent always answers with the freshest context.
Where it fits in your stack
RisingWave sits between your event sources (Kafka, Postgres CDC, webhooks) and your AI layer. It replaces the fragile combination of message queues plus batch ETL with one system that does ingestion, transformation, and serving in a single pass. With 9,000+ GitHub stars and an active community, it is one of the fastest-growing projects in the real-time AI space.
🚀 Ready to stream?
Get the Docker setup, resource requirements, and deployment tips on the tool page.
View RisingWave Tool Page →