jt2594838 commented on a change in pull request #450: modify documents URL: https://github.com/apache/incubator-iotdb/pull/450#discussion_r335784774
########## File path: docs/Documentation/UserGuide/1-Overview/4-Features.md ########## @@ -24,10 +24,29 @@ ## Features -* Flexible deployment. IoTDB provides users one-click installation tool on the cloud, once-decompressed-used terminal tool and the bridge tool between cloud platform and terminal tool (Data Synchronization Tool). -* Low cost on hardware. IoTDB can reach a high compression ratio of disk storage (For one billion data storage, hard drive cost less than $0.23) -* Efficient directory structure. IoTDB supports efficient oganization for complex timeseries data structure from intelligent networking devices, oganization for timeseries data from devices of the same type, fuzzy searching strategy for massive and complex directory of timeseries data. -* High-throughput read and write. IoTDB supports millions of low-power devices' strong connection data access, high-speed data read and write for intelligent networking devices and mixed devices mentioned above. -* Rich query semantics. IoTDB supports time alignment for timeseries data accross devices and sensors, computation in timeseries field (frequency domain transformation) and rich aggregation function support in time dimension. -* Easy to get start. IoTDB supports SQL-Like language, JDBC standard API and import/export tools which is easy to use. -* Intense integration with Open Source Ecosystem. IoTDB supports Hadoop, Spark, etc. analysis ecosystems and Grafana visualization tool. +* Flexible deployment. + +IoTDB provides users one-click installation tool on the cloud, once-decompressed-used terminal tool and the bridge tool between cloud platform and terminal tool (Data Synchronization Tool). + +* Low cost on hardware. + +IoTDB can reach a high compression ratio of disk storage (For one billion data storage, hard drive cost less than $0.23) + +* Efficient directory structure. + +IoTDB supports efficient oganization for complex timeseries data structure from intelligent networking devices, oganization for timeseries data from devices of the same type, fuzzy searching strategy for massive and complex directory of timeseries data. +* High-throughput read and write. + +IoTDB supports millions of low-power devices' strong connection data access, high-speed data read and write for intelligent networking devices and mixed devices mentioned above. + +* Rich query semantics. + +IoTDB supports time alignment for timeseries data accross devices and sensors, computation in timeseries field (frequency domain transformation) and rich aggregation function support in time dimension. + +* Easy to get start. + +IoTDB supports SQL-Like language, JDBC standard API and import/export tools which is easy to use. Review comment: "which is" -> "which are" ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
