TDengine OSS

Open source time series database with built-in stream processing, caching, and data subscription

Fast data ingestion through SQL or schemaless writing
Efficient SQL queries including nested queries and UDF
Windowed queries & extensions to SQL for time series data
Cluster support with cloud native scalability
Built-in caching eliminates the need to deploy Redis
Built-in stream processing eliminates the need to deploy Spark or Flink
Built-in data subscription eliminates the need to deploy Kafka
Client libraries for mainstream programming languages

TDengine’s Open Source Journey

TDengine went open source in 2019, later open-sourcing the clustering edition in 2020 and the cloud-native edition in 2022.

Join the Community

All community members are invited to submit issues and pull requests to the TDengine GitHub repository.

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You can join our Discord server and communicate directly with team members for assistance with your TDengine deployment.

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Learn about the different features included in TDengine OSS, TDengine Enterprise, and TDengine Cloud

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