Unified data platform for big data analytics
Speed up enterprise analytics with scalable computing & distributed data layers.
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Single data hub for batch and streaming workloads
Connect data locally and globally, from streaming source or batch source into one place with unlimited scalability.
Scalability with Compute-Storage separation
The compute layer is a shared-nothing architecture, while storage layer is shared-everything.
Real-time decision making
It only takes several seconds from data generation to actionable insight, and we ensure 99% query latencies are in second-level.
Achieve high performance by Vectorized Query Execution and Column-oriented Storage.
Speed up Time to Insight
Support real-time analysis based on Streaming Data Loading (Apache Kafka, AWS Kinesis) with a unified platform. Accelerate the process of time to insight.
Achieve scalable computing and distributed storage by the separate Storage & Compute Layer.
A self-serve platform with lower maintenance, fully managing your data with ByteHouse.
Choose the deployment model for your needs
We offer three different models to meet your deployment requirements. Achieve scalable computing and distributed storage capabilities with a separated Storage and Compute layer.
We support the cloud vendors that you are currently using such as AWS, GCP and ByteCloud.
Private Cloud (VPC)
We provide a secure cloud experience similar to local storage.
Leverage your own infrastructure to securely store data.
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