HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications.
A streaming database is purpose-built to ingest, store, process, and analyze massive data streams. It is a modern data infrastructure that unifies messaging, stream processing, and storage to help get value out of your data in real-time.
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A modern approach to working with data streams in the IoT era.
Unify the data stream processing and storage on a single platform.
Store and manage millions of data streams with a single cluster.
Ingest massive amounts of data continuously generated from various sources, such as IoT device sensors. Store millions of data streams reliably in a specially designed distributed streaming data storage cluster.
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Consume data streams in real-time as fast as from Kafka by subscribing to topics in HStreamDB. With the permanent data stream storage, you can playback and consume data streams anytime.
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Process data streams based on event-time with the same familiar SQL syntax you use to query data in a relational database. You can use SQL to filter, transform, aggregate, and even join multiple data streams.
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With materialized views created from continuously updated data streams, HStreamDB enables you to gain real-time data insight through simple query operations using standard SQL statements.
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Download quick-start.yaml
Start HStreamDB Server
docker-compose -f quick-start.yaml up
Start HStreamDB's interactive SQL CLI
docker run -it --rm --name some-hstream-cli --network host hstreamdb/hstream:v hstream sqlExplore Documentation →
HStreamDB is 100% open source and community-driven. All components are available under the BSD (3-Clause) License on GitHub.
Welcome to the HStreamDB community! Stay connected to ask questions, find answers, explore ideas, and share expertise.
