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TDengine is a popular open-source data platform purpose-built for time-series data. With over 19,000 stars on GitHub and hundreds of new running instances daily, TDengine is used in over 50 countries worldwide. The company has raised $69M in venture capital, including a $47M 2021 series B round from MatrixPartners China, Sequoia Capital China, GGV Capital, and Index Capital.

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Additionally, TDengine 3.0 simplifies system architecture and reduces operating costs with its built-in caching, stream processing (event- and time-driven), and data subscription features. It is no longer necessary to integrate a multitude of third-party components just to have the functionality you need for time-series data processing.

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TDengine 3.0 is a comprehensive, purpose-built platform designed from day one to meet the needs of next-generation time series applications. It features a true cloud-native time series database in which both compute and storage resources are separated and can be changed dynamically based on the workload. It can be deployed on public, private or hybrid clouds. Its scalability is unprecedented, and it can support one billion time series while still outperforming other time series databases in terms of data ingestion rate and query latency.

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