From 8fa05f52566f0ec393eea2b9aecdd6502ff3db5a Mon Sep 17 00:00:00 2001 From: Jeff Tao Date: Tue, 19 Jul 2022 20:47:02 +0800 Subject: [PATCH] Update index.md --- docs/en/02-intro/index.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/en/02-intro/index.md b/docs/en/02-intro/index.md index 52b25bf949..5543aae6de 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. @@ -110,4 +110,4 @@ As a high-performance, scalable and SQL supported time-series database, TDengine - [TDengine vs InfluxDB、OpenTSDB、Cassandra、MySQL、ClickHouse](https://www.tdengine.com/downloads/TDengine_Testing_Report_en.pdf) - [TDengine vs OpenTSDB](https://tdengine.com/2019/09/12/710.html) - [TDengine vs Cassandra](https://tdengine.com/2019/09/12/708.html) -- [TDengine vs InfluxDB](https://tdengine.com/2019/09/12/706.html) \ No newline at end of file +- [TDengine vs InfluxDB](https://tdengine.com/2019/09/12/706.html) -- GitLab