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
StreamNative delivers a cloud-native messaging platform built on Apache Pulsar. Pair it with VeloDB and every topic becomes a SQL-queryable surface — perfect for real-time dashboards, alerting, and AI workloads that need a single view of streaming data.
Founded by the original creators of Apache Pulsar, StreamNative provides managed Pulsar clusters with multi-tenancy, geo-replication, and tiered storage out of the box. Producers and consumers can use Pulsar, Kafka, MQTT, or AMQP protocols on the same broker.
StreamNative handles fan-out, replay, and retention. VeloDB turns those streams into SQL with sub-second latency.
Use Pulsar, Kafka, MQTT, or AMQP on the producer side — VeloDB ingests through the same broker, no extra connectors.
Pulsar’s tenant and namespace model maps cleanly to VeloDB’s database and table layout, so isolation carries through end-to-end.
StreamNative offloads cold messages to object storage; VeloDB’s decoupled storage does the same for warm and cold tables.
Stream domain events into VeloDB and serve real-time queries to apps, agents, and downstream systems.
Isolate per-customer streams in Pulsar, land them in VeloDB, and serve customer-facing dashboards from one warehouse.
Use geo-replicated Pulsar to collect signals globally, then aggregate and query them in VeloDB.
Tell us about your stack and use case. Our team will help you stand up VeloDB with StreamNative for your environment.