diff --git a/docs/en/02-intro/index.md b/docs/en/02-intro/index.md index 1637a3d4546b3e52369e152555d5faab46633ec9..a21d49501845d9630a11a8d39687e7e78cce1f6c 100644 --- a/docs/en/02-intro/index.md +++ b/docs/en/02-intro/index.md @@ -3,7 +3,7 @@ title: Introduction toc_max_heading_level: 2 --- -TDengine is a high-performance, scalable time-series database with SQL support. Its code, including its cluster feature is open source under GNU AGPL v3.0. Besides the database engine, it provides [caching](/develop/cache), [stream processing](../develop/continuous-query), [data subscription](../develop/subscribe) and other functionalities to reduce the complexity and cost of development and operation. +TDengine is a high-performance, scalable [time-series database](https://tdengine.com/tsdb) with SQL support. Its code, including its cluster feature is open source under GNU AGPL v3.0. Besides the database engine, it provides [caching](/develop/cache), [stream processing](/develop/continuous-query), [data subscription](/develop/subscribe) and other functionalities to reduce the complexity and cost of development and operation. This section introduces the major features, competitive advantages, typical use-cases and benchmarks to help you get a high level overview of TDengine. @@ -112,4 +112,5 @@ As a high-performance, scalable and SQL supported time-series database, TDengine - [TDengine vs Cassandra](https://tdengine.com/2019/09/12/708.html) - [TDengine vs InfluxDB](https://tdengine.com/2019/09/12/706.html) + If you want to learn some basics about time-series databases, please check [here](https://tdengine.com/tsdb).