PRODUCT
Cloud Native Data Platform
Unified platform to provide self-serve data analytics at petabyte scale
Technical Architecture
Highlights
Cloud Native Massively Parallel Processing (MPP) for performing adhoc queries
ByteHouse provides MPP 2.0 architecture with shared-everything storage and shared-nothing compute. This can prevent data re-sharding issues from traditional MPP architecture. With HDFS & S3 as the storage layer, ByteHouse can easily support different cloud vendors and build a cloud native architecture.
Dynamic elasticity and scalability
ByteHouse achieves scalable computing and distributed storage with a separate Storage and Compute layer. This makes it flexible to scale horizontally. ByteHouse also provides severless features such as data loading to reduce need for additional resources.
Multi-level resource isolation
ByteHouse supports multi-level resource isolation including tenant, read-write separation and compute resource isolation. This enables high-level of security for your resources.
Provision of maintenance support
ByteHouse provides a self-service portal with Deployment and Operation tools. Our comprehensive usage or workload metrics can help you better understand your business status, troubleshooting needs and diagnosis issues.
Values
Connect data locally and globally, from streaming source or batch source via ByteHouse with unlimited scalability.
Making the best decision by leveraging insightful data in real-time.
