TDengine OSS

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

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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

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Why Developers Choose TDengine

Over 350k Installations and 21k GitHub Stars

High Performance

TDengine is the only time series database to solve the high-cardinality issue, supporting billions of data collection points while outperforming other time series databases in ingestion, querying, and compression.

Cloud Native

TDengine provides the six elements — distributed design, scalability, elasticity, resiliency, observability, and automation — required of a true cloud native database and can run on public, private, or hybrid clouds.

Easy to Use

TDengine significantly reduces the effort to deploy and maintain a time series database. It provides simple interfaces and seamless integrations for third-party tools, giving users and developers easy access to data.

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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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