From ee7be598cd0e324982d0a11092d4e2fa7e3a5618 Mon Sep 17 00:00:00 2001 From: wade zhang <95411902+gccgdb1234@users.noreply.github.com> Date: Fri, 26 Aug 2022 09:44:50 +0800 Subject: [PATCH] Update 02-intro.md --- docs/en/02-intro.md | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/docs/en/02-intro.md b/docs/en/02-intro.md index 6b8f91f866..d7d145e0c9 100644 --- a/docs/en/02-intro.md +++ b/docs/en/02-intro.md @@ -12,18 +12,18 @@ This section introduces the major features, competitive advantages, typical use- The major features are listed below: 1. While TDengine supports [using SQL to insert](/develop/insert-data/sql-writing), it also supports [Schemaless writing](/reference/schemaless/) just like NoSQL databases. TDengine 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. -2. TDengine supports seamless integration with third-party data collection agents like [Telegraf](/third-party/telegraf)，[Prometheus](/third-party/prometheus)，[StatsD](/third-party/statsd)，[collectd](/third-party/collectd)，[icinga2](/third-party/icinga2), [TCollector](/third-party/tcollector), [EMQX](/third-party/emq-broker), [HiveMQ](/third-party/hive-mq-broker). These agents can write data into TDengine with simple configuration and without a single line of code. -3. Support for [all kinds of queries](/develop/query-data), including aggregation, nested query, downsampling, interpolation and others. -4. Support for [user defined functions](/develop/udf). -5. Support for [caching](/develop/cache). TDengine always saves the last data point in cache, so Redis is not needed in some scenarios. -6. Support for [stream processing](../taos-sql). -7. Support for [data subscription](../taos-sql) with the capability to specify filter conditions. +2. TDengine supports seamless integration with third-party tools like [Telegraf](../data-in/telegraf)，[Prometheus](../data-in/prometheus)，they can write data into TDengine with simple configuration and without a single line of code. +3. Support for [time series specific queries](../taos-sql/distinguished), including aggregation, nested query, downsampling, interpolation and others. +4. Support for [user defined functions](../taos-sql/udf). +5. Support for [caching](../taos-sql/database). TDengine always saves the last data point in cache, so Redis is not needed in some scenarios. +6. Support for [stream processing](../taos-sql/stream). +7. Support for [data subscription](../taos-sql/tmq) with the capability to specify filter conditions. 8. High availability is supported by replication including multi-cloud replication. -9. Provides an interactive [command-line interface](/reference/taos-shell) for management, maintenance and ad-hoc queries. +9. Provides an interactive [command-line interface](../tools/cli) for management, maintenance and ad-hoc queries. 10. Provides many ways to [get data in](../data-in) and [get data out](../data-out) data. 11. Provides a Dashboard to monitor your running instances of TDengine. 12. Provides [connectors](../connector/) for [Java](../connector/java), [Python](../connector/python), [Go](../connector/go), [Rust](../connector/rust), and [Node.js](../connector/node). -13. Provides a [REST API](/reference/rest-api/). +13. Provides a [REST API](../develop/connect/rest-api/). 14. Supports seamless integration with [Grafana](../visual/grafana) for visualization. 15. Supports seamless integration with Google Data Studio. -- GitLab