@@ -14,7 +14,7 @@ TDengine is a high-performance, scalable time-series database with SQL support.
5. Support [caching](/develop/cache). TDengine always save the last data point in cache, so Redis is not needed in some scenarios.
6. Support [continuous query](/develop/continuous-query).
7. Support [data subscription](/develop/subscribe)，and the filter condition can be specified.
8. Support [cluster](/cluster/), so it can gain more processing by adding more nodes. The high availability is supported by replication.
8. Support [cluster](/cluster/), so it can gain more processing power by adding more nodes. The high availability is supported by replication.
9. Provide interactive [command line intrerface](/reference/taos-shell) for management, maintainence and ad-hoc query.
10. Provide many ways to [import](/operation/import), [export](/operation/export) data.
11. Provide [monitoring](/operation/monitor) on TDengine running instances.
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@@ -27,7 +27,7 @@ For more detailed features, please read through the whole document.
## TDenginge Highlights
TDengine makes full use of the [characteristics of time series data](https://tdengine.com/2019/07/09/86.html）, such as structured, no transaction, rarely delete or update, etc., and builds its own innovative storage engine and computing engine to differentiate itself from other TSDBs with the following advantages.
TDengine makes full use of [the characteristics of time series data](https://tdengine.com/2019/07/09/86.html), such as structured, no transaction, rarely delete or update, etc., and builds its own innovative storage engine and computing engine to differentiate itself from other TSDBs with the following advantages.
-**High Performance**: TDengine outperforms other time series databases in data ingestion and querying while significantly reducing storage cost and compute costs, with an innovatively designed and purpose-built storage engine.
