RisingWave is a stream processing platform that ingests, transforms, and serves event data in real time using a unified SQL interface and materialized views.
The platform addresses the operational complexity of traditional real-time data pipelines by consolidating multiple specialized systems into a single engine. Rather than chaining together CDC tools, message brokers, stream processors, and serving databases, RisingWave handles ingestion, incremental processing, and low-latency querying within one system. It ingests from webhooks, database transaction logs, Kafka and other message brokers, and batch sources like S3. Data is processed through materialized views that update incrementally when upstream data changes, maintaining freshness under 100 milliseconds. Query results are served directly from an internal row store at 10-20 millisecond p99 latency, eliminating the need for separate caching layers or polling mechanisms.
The tool suits teams building real-time applications and agentic AI systems that require continuously fresh, queryable data without the operational burden of managing multiple infrastructure components. Organizations should consider it when they currently maintain separate Debezium, Kafka, Flink, and database systems and want to consolidate that stack.
The project shows active development with regular updates to its core stream processing engine and expanding source connectors. Work spans infrastructure improvements, new data source integrations, and performance optimization of the incremental computation model. The codebase is written in Rust and maintains comprehensive documentation including benchmarks and demonstration scenarios.
