TDengine OSS

TDengine OSS is an open source, cloud native time series database.
It includes built-in stream processing, caching, and data subscription, forming a simplified solution for time series data.

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TDengine next generation data historian | time series database

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

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

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