@@ -19,17 +19,15 @@ This is the documentation structure for TDengine Cloud.
6.[Data Sharing](./data-sharing) is an advanced and useful feature of TDengine Cloud. In this section, we provide an easy way to share your data in the TDengine Cloud to others through only simple click operations.
7.Data [Subscription](./tmq) is an advanced and useful feature of TDengine. It is similar to asynchronous publish/subscribe where a message published to a topic is immediately received by all subscribers to that topic. TDengine Subscriptions allow you to create event driven applications without having to install an external pub/sub messaging system.
7.[Stream Processing](./stream) is another extremely useful feature of TDengine Cloud that obviates the need to install external stream processing systems like Kafka or Flink. TDengine's Stream Processing feature allows you to process incoming data streams in real time and push data to tables based on rules that you can define easily.
8.[Stream Processing](./stream) is another extremely useful feature of TDengine Cloud that obviates the need to install external stream processing systems like Kafka or Flink. TDengine's Stream Processing feature allows you to process incoming data streams in real time and push data to tables based on rules that you can define easily.
8.TDengine provides sophisticated [Data Replication](./replication) features. You can replicate from Cloud to a private instance and vice versa. You can replicate between Cloud providers regardless of region and you can also replicate between edge instances and Cloud or edge instances and private centralized instances.
9. TDengine provides sophisticated [Data Replication](./replication) features. You can replicate from Cloud to a private instance and vice versa. You can replicate between Cloud providers regardless of region and you can also replicate between edge instances and Cloud or edge instances and private centralized instances.
9. The [Developer Guide](./programming) is a must read if you are developing IoT or Big Data applications for time series data. In this section we introduce the database connection, data modeling, data ingestion, query, stream processing, cache, data subscription, user-defined functions (coming soon), and other functionality in detail. Sample code is provided for a variety of programming languages. In most cases, you can just copy and paste the sample code, make a few changes to accommodate your application, and it will work.
10. The [Developer Guide](./programming) is a must read if you are developing IoT or Big Data applications for time series data. In this section we introduce the database connection, data modeling, data ingestion, query, stream processing, cache, data subscription, user-defined functions (coming soon), and other functionality in detail. Sample code is provided for a variety of programming languages. In most cases, you can just copy and paste the sample code, make a few changes to accommodate your application, and it will work.
10. The [TDengine SQL](./taos-sql) section provides comprehensive information about both standard SQL as well as TDengine's extensions for easy time series analysis.
11. The [TDengine SQL](./taos-sql) section provides comprehensive information about both standard SQL as well as TDengine's extensions for easy time series analysis.
12. The [Tools](./tools) section introduces the Taos CLI which gives you shell access to easily perform ad hoc queries on your instances and databases. Additionally, taosBenchmark is introduced. It is a tool that can help you generate large amounts of data very easily with simple configurations and test the performance of TDengine Cloud.
11. The [Tools](./tools) section introduces the Taos CLI which gives you shell access to easily perform ad hoc queries on your instances and databases. Additionally, taosBenchmark is introduced. It is a tool that can help you generate large amounts of data very easily with simple configurations and test the performance of TDengine Cloud.
<!-- 10. Finally, in the [FAQ](./faq) section, we try to preemptively answer questions that we anticipate. Of course, we will continue to add to this section all the time. -->
@@ -19,15 +19,14 @@ The major features are listed below:
- Supports standard [SQL](../data-out/query-data/), including nested query.
- Supports exporting data via tool [taosDump](../data-out/taosdump/).
- Supports writing data to [Prometheus](../data-out/prometheus/).
- Supports exporting data via [data subscription](../tmq/).
3. Data Explorer: browse through databases and even run SQL queryies once you login.
4. Visualization:
- Supports [Grafana](../visual/grafana/)
- Supports Google data studio (to be released soon)
- Supports Grafana cloud (to be released soon)
5.[Data Sharing](../data-sharing/): sharing the topics with other users or user groups through simple operations in TDengine Cloud.
6.[Stream Processing](../stream/): Not only is the continuous query is supported, but TDengine also supports event driven stream processing, so Flink or Spark is not needed for time-series data processing.
7.[Data Subscription](../tmq/): Application can subscribe a table or a set of tables. API is the same as Kafka, but you can specify filter conditions.
8. Enterprise
7. Enterprise
- Supports backuping data everyday.
- Supports replicating a database to another region or cloud.
description:A number of ways getting data out of TDengine.
---
This chapter introduces how to get data out of TDengine cloud service. Besides normal query using SQL, users can use [data subscription](../tmq) which is provided by the message queue component inside TDengine to access the data stored in TDengine. TDengine provides [connectors](../programming/connector) for application programmers to access the data stored in TDengine. TDengine also provides some tools, like [taosdump](../tools/taosdump), which is a tool provided by TDengine to dump the data stored in TDengine cloud service into files, and `taosX`, which is another tool to sync up the data in one TDengine cloud service into another. Furthermore, 3rd party tools, like prometheus, can also be used to write data into TDengine.
This chapter introduces how to get data out of TDengine cloud service. Besides normal query using SQL, users can use [data sharing](../data-sharing) which is provided by TDengine cloud service to share the data stored in TDengine to others. TDengine provides [connectors](../programming/connector) for application programmers to access the data stored in TDengine. TDengine also provides some tools, like [taosdump](../tools/taosdump), which is a tool provided by TDengine to dump the data stored in TDengine cloud service into files, and `taosX`, which is another tool to sync up the data in one TDengine cloud service into another. Furthermore, 3rd party tools, like prometheus, can also be used to write data into TDengine.
