TDengine released TDengine Cloud, a fully managed, open-source cloud time-series data platform. TDengine Cloud lets organizations easily start, operate, and scale the TDengine time-series data platform in AWS, Azure, and Google Cloud.
Released as open-source software in 2019, TDengine has more than 19,000 stars on GitHub and more than 154,000 instances across 50 countries worldwide. The TDengine Data Platform combines a database with caching, stream processing, and data subscription as a complete, purpose-built solution for time-series data. TDengine solves the common problem of high cardinality with a unique architecture that supports billions of data points while outperforming general-purpose and legacy time-series databases in data ingestion, querying, and compression.
"Not all companies have the expertise, time, or resources to fully support a time-series database infrastructure, especially as data continues to flood in and use cases scale. TDengine Cloud enables developers to stand up a time-series data platform in seconds and removes all the ongoing operational and management burdens now and as those applications and use cases scale in the future," said Jeff Tao, founder, and CEO of TDengine.
Last month, the company unveiled TDengine 3.0, delivering a fully distributed architecture with Kubernetes and container support. It decouples compute and storage resources for dynamic scaling and deployment across public, private, and hybrid clouds. TDengine Cloud brings all the advantages of TDengine 3.0 in a fully managed, cloud-native solution.
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