Separate storage and computing layers
With separated storage and computing, ByteHouse offers its users flexibility to manage their resources better. With dynamic scaling and flexible architecture, ByteHouse helps users focus on their data and business requirements, without having to worry about cluster scaling and management.
Unified batch and streaming data
ByteHouse supports both batch and streaming data and avoids complex, redundant systems with operational challenges. It provides a unified data management platform that acts as a single source of truth for all data use cases.
- Username/password management, access keys (AK/SK) support.
Role-based Access Control (RBAC) model to manage your secure objects with different policies.
Granular access control with column and row-level security helps admins define permissions and manage
IP whitelisting to ensure only authorised access.
- End-to-end data encryption, TLS support during transformation.
Standard SQL support
ByteHouse supports two SQL standards - ANSI SQL and ClickHouse SQL. Users can easily use and switch based on their preferences, which reduces the need for code rewrites and the cost of business migration.
ByteHouse provides multiple connectivity options depending on your use case to ensure a smooth integration experience.
Users can use the ByteHouse console, ByteHouse CLI, and SDK in various languages to access and manage ByteHouse service.
If you have an integration method that is currently not supported, submit a ticket via the support portal.
Updated 3 months ago