Unified data platform for big data analytics

Speed up enterprise analytics with scalable computing & distributed data layers.

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.

Architecture

Architecture

Why ByteHouse

High-Performance

High-Performance

Achieve high performance by Vectorized Query Execution and Column-oriented Storage.

Speed up Time to Insight

Speed up Time to Insight

Support real-time analysis based on Streaming Data Loading (Apache Kafka) with a unified platform. Accelerate the process of time to insight.

Read-Write Separation

Read-Write Separation

Achieve scalable computing and distributed storage by the separate Storage & Compute Layer.

Low Maintenance

Low Maintenance

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.

Cloud-Native SaaS

Cloud-Native SaaS

We support the cloud vendors that you are currently using such as AWS, GCP and ByteCloud.

Private Cloud (VPC)

Private Cloud (VPC)

We provide a secure cloud experience similar to local storage.

On-Premise

On-Premise

Leverage your own infrastructure to securely store data.

Ready to Get Started?