Real-time OLAP at sub-second scale
VeloDB delivers enterprise-grade analytical queries on live data — built on Apache Doris with a relentless focus on query latency, high concurrency, and operational simplicity at scale.
Realtime analytics path
Real-time analytics, no compromises
VeloDB is an enterprise cloud data warehouse built on Apache Doris — one of the fastest-growing OLAP projects in the Apache ecosystem. It powers analytical workloads that traditional data warehouses struggle with: high-concurrency queries, sub-second latency, and fresh data without batch delays.
Unlike conventional OLAP systems that treat real-time as an add-on, VeloDB was architected from day one for live ingestion and immediate queryability. The result is a database where data is visible to analysts within seconds of arrival — not hours.
VeloDB's commitment to open-source Apache Doris means customers retain full access to the engine, can audit every execution path, and build integrations without proprietary friction.
Apache Doris
A real-time analytical database designed for high-concurrency, low-latency queries over massive datasets. Columnar storage, vectorized execution, and MPP query planning at the core.
Enterprise + Open Source
VeloDB Enterprise wraps Apache Doris with production-grade security, dedicated support, and managed deployment — without forking or abandoning the open-source foundation.
Realtime BI, Ops Analytics, AI Feeds
From live operational dashboards to AI feature stores and large-scale log analytics — VeloDB handles workloads where freshness and speed are non-negotiable.
Why LaserData + VeloDB
The combination closes the gap between raw event streams and analytical answers — without sacrificing latency at either end.
LaserData as the Ingestion Layer
LaserData's ultra-low-latency streaming core feeds VeloDB's real-time ingestion pipeline, eliminating the batch windows that introduce staleness in traditional OLAP setups.
Shared Commitment to Tail Latency
Both teams instrument and hunt p99.9 latencies as a primary engineering metric — not an afterthought. This shared obsession means integration paths are designed around worst-case, not average-case performance.
Open Source Foundations
VeloDB is built on Apache Doris. LaserData is built on Apache Iggy. Both projects contribute upstream and maintain open governance — so joint customers retain full portability and zero vendor lock-in.
Agent-Native Analytics
AI agents need fresh data and fast answers. The LaserData + VeloDB stack gives agent infrastructure the realtime stream and the analytical query layer in one coherent, low-latency pipeline.
The modern realtime data pipeline
Events flow from LaserData streams into VeloDB in real time — queryable within milliseconds of arrival.
Build the realtime stack
Talk to us about running LaserData and VeloDB together in your production environment.