From 319a2c040fa646d0e62e2b0d2cd9fa179ee8a9e3 Mon Sep 17 00:00:00 2001 From: Jeff Tao Date: Sun, 21 Aug 2022 18:35:38 +0800 Subject: [PATCH] Update 01-index.md --- docs/en/01-index.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/docs/en/01-index.md b/docs/en/01-index.md index f5b7f3e0f6..0a09f860c4 100644 --- a/docs/en/01-index.md +++ b/docs/en/01-index.md @@ -4,7 +4,8 @@ sidebar_label: Documentation Home slug: / --- -TDengine is a [high-performance](https://tdengine.com/fast), [scalable](https://tdengine.com/scalable) time series database with [SQL support](https://tdengine.com/sql-support). This document is the TDengine user manual. It introduces the basic, as well as novel concepts, in TDengine, and also talks in detail about installation, features, SQL, APIs, operation, maintenance, kernel design and other topics. It’s written mainly for architects, developers and system administrators. + +TDengine is an open source, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, and Industrial IoT. It enables efficient, real-time data ingestion, processing, and monitoring of TB and even PB scale data per day, generated by billions of sensors and data collectors. . This document is the TDengine user manual. It introduces the basic, as well as novel concepts, in TDengine, and also talks in detail about installation, features, SQL, APIs, operation, maintenance, kernel design and other topics. It’s written mainly for architects, developers and system administrators. To get an overview of TDengine, such as a feature list, benchmarks, and competitive advantages, please browse through the [Introduction](./intro) section.