Serves for IOT, an open-source DB to connect the world.

Welcome to this cloud-native database systems, which is now open-source.

Serves for IOT, an open-source DB to connect the world.
Assistant CC


A community-driven high performance, high compression rate, high ease of use open source distributed temporal database; supports large data size, fast batch writing, ultra-high data compression ratio, rich computational functions and excellent ecosystem and other functional features; can be used for DevOps (including services and servers) monitoring, IoT (including IoT devices) monitoring, real-time analytics and other scenarios.

We have a large number of excellent professionals, strong research strength, rich experience in database products

Deep integration of industry, academia and research

As the crown jewel of basic software, the development of database needs talents, innovation and multi-party cooperation between industry, academia, research and application.

16 invention patents related to time-series database

We attach great importance to the originality and innovation of our technology and are committed to pursuing disruptive results.

12 A-level papers related to time-series data (including VLDB)

We actively participate in international assessments and achieve global recognition, and also and strive to contribute back to the academic and industrial communities.

To become a contributor to CnosDB

Both non-code contributions such as translation, documentation writing, design, and code contributions such as testing and writing code will be considered valuable participation. Here, you will also gain a harmonious and enthusiastic open source community and learn about the most cutting-edge technical fields. Regardless of your identity as a senior developer or a current student, what really matters is the quality of your contributions. Don't hesitate and come get involved in open source and pass on the open source spirit.

High Performance, High Compression Rate, High Ease-Of-Use​

high performance

Support very large data size; fast batch writing; ultra-high data compression ratio

high ease of use

Compatible with mainstream timing database; rich calculation functions; excellent ecosystem

100% Open Source

Stand-alone, distributed and ecological tools, etc. all adopt the AGPL-3.0 open source protocol