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  • Version Details
  • New Features
    • Data Insertion
    • Data Querying
    • Distributed Architecture
    • Data Storage
    • Operation & Maintenance
    • Database Connectors
    • Database Security
    • Ecosystem Support

KWDB 2.0 Release Notes

KWDB is a distributed, multi-model database, designed for AIoT scenarios. It seamlessly integrates time-series and relational databases within the same instance, enabling efficient multi-model data processing. With high-performance time-series capabilities, it is built for stability, security, high availability, and easy maintenance. KWDB is ideal for industrial IoT, digital energy, connected vehicles, and smart industries, providing a unified platform for data storage, management, and analysis.

This section highlights the major features of KWDB 2.0.

Version Details

VersionRelease Date
2.02024.08.23

New Features

Data Insertion

  • Supports standard SQL-based data insertion and import operations.
  • Provides millisecond-level precision for timestamp data.
  • Handles high-volume data insertion (millions of rows) within seconds.

Data Querying

  • Offers versatile query capabilities, including
    • Tag-based filtering
    • Interpolation queries
    • Latest value retrieval
    • Tag-grouped aggregations
    • Time-window aggregations
  • Enables cross-model queries between relational and time-series tables.
  • Delivers responses within a few seconds for simple aggregation queries on hundreds of millions of records.

Distributed Architecture

  • Supports three-replica distributed clusters, ensuring continuous operation even during single-node failures.
  • Automatically partitions time-series data based on tag values and timestamps.
  • Creates indexes on primary tags for fast device-specific data retrieval and improved query performance.

Data Storage

  • Supports online data compression without disrupting operations.
  • Allows customizable data retention policies at both database and table levels.
  • Achieves compression ratios ranging from 5:1 to 30:1.

Operation & Maintenance

  • Supports containerized deployment.
  • Runs reliably on major operating systems including Ubuntu and CentOS.
  • Compatible with specialized CPUs and operating systems such as Hygon, Phytium, UOS, and Kylin.
  • Includes a visual management interface for database operations.

For more information, see O&M Overview.

Database Connectors

Supports database connection via JDBC, RESTful API, and other standard interfaces. For more information, see Developer Guide Overview.

Database Security

  • Implements robust user authentication with username/password management.
  • Provides granular permission controls (create, delete, query, insert, update) that can be assigned to all or specific users
  • Supports configurable database auditing for DDL, DML, DCL, and DQL operations.
  • Secures client-server communications through HTTPS and other encryption protocols.

For more information, see Security Overview.

Ecosystem Support