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Posted to reviews@iotdb.apache.org by GitBox <gi...@apache.org> on 2020/10/30 02:42:56 UTC
[GitHub] [iotdb] HTHou commented on a change in pull request #1904: correct errors in English documents
HTHou commented on a change in pull request #1904:
URL: https://github.com/apache/iotdb/pull/1904#discussion_r514724292
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File path: docs/UserGuide/Comparison/TSDB-Comparison.md
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@@ -100,9 +100,9 @@ Legend:
* SQL like:
- * IoTDB and InfluxDB supports SQL like language. In addition, The integration of IoTDB and Calcite is alomost done (a PR has been submitted), which means IoTDB will support Standard SQL.
+ * IoTDB and InfluxDB supports SQL like language. In addition, the integration of IoTDB and Calcite is alomost done (a PR has been submitted), which means IoTDB will support Standard SQL soon.
Review comment:
```suggestion
* IoTDB and InfluxDB support SQL like language. In addition, the integration of IoTDB and Calcite is almost done (a PR has been submitted), which means IoTDB will support Standard SQL soon.
```
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File path: docs/UserGuide/Comparison/TSDB-Comparison.md
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@@ -48,12 +48,12 @@ We select 3 kinds of TSDBs here.
Interface: SQL
Prometheus and Druid are also famous for time series data management.
-However, Prometheus focuses on how to collect data, how to visualize data and how to alert warnings.
-Druid focuses on how to analyze data with OLAP workload. We omit them here.
+However, Prometheus focuses data collection, data visualization and alert warnings.
+Druid focuses on data analysis with OLAP workload. We omit them here.
## Comparison
-We compare the above time series database from two aspects: the feature comparison and the performance
+The above time series database are comparedfrom two aspects: the feature comparison and the performance
Review comment:
```suggestion
The above time series databases are compared from two aspects: the feature comparison and the performance
```
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