From 08cc6cb23a7fe2bf757dbf95d6ea1a6bf3e2127d Mon Sep 17 00:00:00 2001 From: wade zhang <95411902+gccgdb1234@users.noreply.github.com> Date: Mon, 29 Aug 2022 13:18:47 +0800 Subject: [PATCH] Update index.md --- docs/en/02-intro/index.md | 38 +++++++++++++++++++------------------- 1 file changed, 19 insertions(+), 19 deletions(-) diff --git a/docs/en/02-intro/index.md b/docs/en/02-intro/index.md index 5d21fbaf90..51df831948 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 an open source, high-performance, cloud native [time-series database](https://tdengine.com/tsdb/) optimized for Internet of Things (IoT), Connected Cars, and Industrial IoT. 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/stream), [data subscription](/develop/tmq) and other functionalities to reduce the system complexity and cost of development and operation. +TDengine is an open source, high-performance, cloud native [time-series database](https://tdengine.com/tsdb/) optimized for Internet of Things (IoT), Connected Cars, and Industrial IoT. 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/stream), [data subscription](../develop/tmq) and other functionalities to reduce the system 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. @@ -12,32 +12,32 @@ This section introduces the major features, competitive advantages, typical use- The major features are listed below: 1. Insert data - * supports [using SQL to insert](/develop/insert-data/sql-writing). - * supports [schemaless writing](/reference/schemaless/) just like NoSQL databases. It also supports standard protocols like [InfluxDB LINE](/develop/insert-data/influxdb-line)，[OpenTSDB Telnet](/develop/insert-data/opentsdb-telnet), [OpenTSDB JSON ](/develop/insert-data/opentsdb-json) among others. - * supports seamless integration with third-party tools like [Telegraf](/third-party/telegraf/), [Prometheus](/third-party/prometheus/), [collectd](/third-party/collectd/), [StatsD](/third-party/statsd/), [TCollector](/third-party/tcollector/) and [icinga2/](/third-party/icinga2/), they can write data into TDengine with simple configuration and without a single line of code. + * supports [using SQL to insert](../develop/insert-data/sql-writing). + * supports [schemaless writing](../reference/schemaless/) just like NoSQL databases. It also supports standard protocols like [InfluxDB LINE](../develop/insert-data/influxdb-line)，[OpenTSDB Telnet](../develop/insert-data/opentsdb-telnet), [OpenTSDB JSON ](../develop/insert-data/opentsdb-json) among others. + * supports seamless integration with third-party tools like [Telegraf](../third-party/telegraf/), [Prometheus](../third-party/prometheus/), [collectd](../third-party/collectd/), [StatsD](../third-party/statsd/), [TCollector](../third-party/tcollector/) and [icinga2/](../third-party/icinga2/), they can write data into TDengine with simple configuration and without a single line of code. 2. Query data - * supports standard [SQL](/taos-sql/), including nested query. - * supports [time series specific functions](/taos-sql/function/#time-series-extensions) and [time series specific queries](/taos-sql/distinguished), like downsampling, interpolation, cumulated sum, time weighted average, state window, session window and many others. - * supports [user defined functions](/taos-sql/udf). -3. [Caching](/develop/cache/): TDengine always saves the last data point in cache, so Redis is not needed for time-series data processing. -4. [Stream Processing](/develop/stream/): not only is the continuous query is supported, but TDengine also supports even driven stream processing, so Flink or spark is not needed for time-series daata processing. -5. [Data Dubscription](/develop/tmq/): application can subscribe a table or a set of tables. API is the same as Kafka, but you can specify filter conditions. + * supports standard [SQL](../taos-sql/), including nested query. + * supports [time series specific functions](../taos-sql/function/#time-series-extensions) and [time series specific queries](../taos-sql/distinguished), like downsampling, interpolation, cumulated sum, time weighted average, state window, session window and many others. + * supports [user defined functions](../taos-sql/udf). +3. [Caching](../develop/cache/): TDengine always saves the last data point in cache, so Redis is not needed for time-series data processing. +4. [Stream Processing](../develop/stream/): not only is the continuous query is supported, but TDengine also supports even driven stream processing, so Flink or spark is not needed for time-series daata processing. +5. [Data Dubscription](../develop/tmq/): application can subscribe a table or a set of tables. API is the same as Kafka, but you can specify filter conditions. 6. Visualization - * supports seamless integration with [Grafana](/third-party/grafana/) for visualization. + * supports seamless integration with [Grafana](../third-party/grafana/) for visualization. * supports seamless integration with Google Data Studio. 7. Cluster - * supports [cluster](/deployment/) with the capability of increasing processing power by adding more nodes. - * supports [deployment on Kubernetes](/deployment/k8s/) + * supports [cluster](../deployment/) with the capability of increasing processing power by adding more nodes. + * supports [deployment on Kubernetes](../deployment/k8s/) * supports high availability via data replication. 8. Administration - * provides [monitoring](/operation/monitor) on running instances of TDengine. - * provides many ways to [import](/operation/import) and [export](/operation/export) data. + * provides [monitoring](../operation/monitor) on running instances of TDengine. + * provides many ways to [import](../operation/import) and [export](../operation/export) data. 9. Tools - * provides an interactive [command-line interface](/reference/taos-shell) for management, maintenance and ad-hoc queries. - * provides a tool [taosBenchmark](/reference/taosbenchmark/) for testing the performance of TDengine. + * provides an interactive [command-line interface](../reference/taos-shell) for management, maintenance and ad-hoc queries. + * provides a tool [taosBenchmark](../reference/taosbenchmark/) for testing the performance of TDengine. 10. Programming - * provides [connectors](/reference/connector/) for [C/C++](/reference/connector/cpp), [Java](/reference/connector/java), [Python](/reference/connector/python), [Go](/reference/connector/go), [Rust](/reference/connector/rust), [Node.js](/reference/connector/node) and other programming languages. - * provides a [REST API](/reference/rest-api/). + * provides [connectors](../reference/connector/) for [C/C++](../reference/connector/cpp), [Java](../reference/connector/java), [Python](../reference/connector/python), [Go](../reference/connector/go), [Rust](../reference/connector/rust), [Node.js](../reference/connector/node) and other programming languages. + * provides a [REST API](../reference/rest-api/). For more details on features, please read through the entire documentation. -- GitLab