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Real-Time Analytics
Sub-second dashboards and data products on petabytes of data at any concurrency
Data Warehousing
Sub-second analytics on open lakehouse formats with no vendor lock-in
Observability in the AI Era
The most cost-effective alternative to Elasticsearch observability
Context Engineering
Hybrid search and fresh context for RAG, agents, and LLMs
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From Redpanda topic to VeloDB query in seconds.
Redpanda is a high-performance, Kafka-API-compatible streaming platform. With VeloDB on the receiving end, every event you publish becomes queryable in seconds — easy to manage, no JVM, no waiting on batch jobs.
What Redpanda does
Redpanda is a streaming data platform that exposes the full Apache Kafka API on a single binary written in C++. A thread-per-core architecture eliminates GC pauses and gives predictable tail latency, while tiered storage offloads cold log segments to S3-compatible object storage so retention costs scale with usage instead of broker disks. Producers and consumers built for Apache Kafka work against Redpanda without code changes.
Why VeloDB + Redpanda
Drop-in Kafka, drop-in ingest
Use any Kafka client to publish events. VeloDB's Routine Load subscribes directly to Redpanda topics over the Kafka API, parses JSON, CSV, Avro, or Protobuf, and writes to columnar tables — no Connect cluster, no Flink job, no glue code.
Predictable latency end to end
Redpanda's thread-per-core C++ engine and VeloDB's vectorized execution keep tail latency low from publish to query. Events typically become queryable in VeloDB within seconds, even at six- and seven-figure events per second.
Operate one stack, not three
Redpanda ships as a single binary that is easy to deploy, monitor, and scale; VeloDB unifies real-time analytics, search, and ad-hoc SQL in one warehouse. Two products run the pipeline that used to need five.
Costs that scale with usage
Redpanda's tiered storage offloads cold segments to S3-compatible storage. VeloDB separates compute from storage and supports its own hot/cold tiering. Add retention or throughput without proportional spend.
What you can build
Real-time observability
Stream logs, metrics, and traces from services into Redpanda, land them in VeloDB, and query across services, regions, and tenants — typically sub-second on TB-scale data.
IoT and connected fleets
Ingest millions of telemetry events per second from devices and vehicles. VeloDB serves live dashboards, geo-windowed aggregations, and anomaly alerts on the same warehouse where the data lands.
User-facing product analytics
Power in-product dashboards, funnels, and personalization with always-fresh data. The Kafka client → Redpanda topic → VeloDB Routine Load path removes batch lag from the user experience.
How the data flows
Ready to get started?
Tell us about your stack and use case. Our team will help you stand up VeloDB with Redpanda for your environment.
