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
Confluent delivers a fully managed, cloud-native data streaming platform built around Apache Kafka. Pair it with VeloDB and every event flowing through your topics becomes a SQL-queryable row in seconds — ready for dashboards, search, and AI workloads.
Confluent was founded by the original creators of Apache Kafka and provides a managed streaming platform with hundreds of connectors, stream processing, schema registry, and enterprise-grade governance. Producers and consumers built for Kafka work without changes.
VeloDB consumes Confluent topics through Routine Load or any standard Kafka connector — no custom glue, no rewrites.
Avro, Protobuf, and JSON Schema records flowing through Confluent map cleanly to VeloDB tables, with type fidelity preserved end-to-end.
Confluent handles auth, ACLs, and lineage; VeloDB takes the curated streams and serves SQL with sub-second latency.
Run Confluent Cloud and VeloDB Cloud side-by-side on AWS, Azure, or GCP — keep data, compute, and egress in the same region.
Stream user, transaction, and telemetry events into VeloDB and power live dashboards on data that’s seconds old.
Land logs, metrics, and traces published to Confluent in VeloDB and query them across services, regions, and tenants.
Give agents and ML pipelines a SQL-queryable view of every event your systems produce — kept fresh by Confluent.
Tell us about your stack and use case. Our team will help you stand up VeloDB with Confluent for your environment.