Real-Time Analytics
Real-time database for real-time data warehousing, customer-facing and agent-facing analytics
Lakehouse Analytics
The fastest lakehouse SQL engine, replacing Trino/Presto, SparkSQL
Observability in the AI Era
The most cost-effective alternative to Elasticsearch observability
VeloDB for AI
The AI-Ready analytics database for the AI era
RisingWave is a distributed streaming SQL database that turns live event streams into incrementally maintained results. Pipe its output into VeloDB and every materialized view becomes a sub-second SQL surface — ready for dashboards, search, and AI workloads.
RisingWave lets you write standard SQL — including joins and aggregations — over Kafka, Pulsar, Kinesis, and other streams. Results are kept fresh incrementally, so downstream consumers always see up-to-date state without rebuilding tables.
Define streaming pipelines in RisingWave and analytical queries in VeloDB — same language, two purpose-built engines.
RisingWave updates materialized views as events arrive; VeloDB serves the latest state in milliseconds. No nightly rebuilds.
Push heavy joins, windowing, and dedup to RisingWave so VeloDB only stores and serves the curated output — keeping warehouse cost predictable.
Both systems decouple compute from storage and scale horizontally, so streaming volume and query concurrency grow independently.
Aggregate user behavior in RisingWave, land features in VeloDB, and serve them to ML and personalization systems with low latency.
Compute KPIs and rollups continuously over event streams; query them sub-second from dashboards backed by VeloDB.
Replace batch ETL with streaming SQL — RisingWave does the transforms, VeloDB serves the results.
Tell us about your stack and use case. Our team will help you stand up VeloDB with RisingWave for your environment.