@@ -10,7 +10,7 @@ In [Get Started](./get-started) you will see a tutorial that introduces some of
...
@@ -10,7 +10,7 @@ In [Get Started](./get-started) you will see a tutorial that introduces some of
The [Developer Guide](./develop) 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.
The [Developer Guide](./develop) 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.
In the [Data In](./data-in) section we show you a number of ways for you to get your data into TDengine.
In the [Data In](./data-in) section we show you a number of ways for you to get your data into TDengine.
TDengine Cloud believes in giving you extremely easy access to your data and in the [Data Out](./data-out) section we show you a number of ways to get data out of TDengine and into your analysis and visualization applications.
TDengine Cloud believes in giving you extremely easy access to your data and in the [Data Out](./data-out) section we show you a number of ways to get data out of TDengine and into your analysis and visualization applications.
The [Visualization](./visualization) section shows you how you can visualize the data that you store in TDengine, as well as how you can visualize and monitor the status of your TDengine Cloud instance(s) and databases.
The [Visualization](./visual) section shows you how you can visualize the data that you store in TDengine, as well as how you can visualize and monitor the status of your TDengine Cloud instance(s) and databases.
The [TDengine SQL](./taos-sql) section provides comprehensive information about both standard SQL as well as TDengine's extensions for easy time series analysis.
The [TDengine SQL](./taos-sql) section provides comprehensive information about both standard SQL as well as TDengine's extensions for easy time series analysis.
In [Connector](./connector), you can choose between Python, Java, Go, Rust and Node.js, to easily connect to TDengine to ingest and query data in your preferred development language.
In [Connector](./connector), you can choose between Python, Java, Go, Rust and Node.js, to easily connect to TDengine to ingest and query data in your preferred development language.
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.
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.
@@ -20,15 +20,15 @@ The major features are listed below:
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@@ -20,15 +20,15 @@ The major features are listed below:
3. Support for [all kinds of queries](/develop/query-data), including aggregation, nested query, downsampling, interpolation and others.
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).
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.
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](../cloud/taos-sql).
6. Support for [stream processing](../taos-sql).
7. Support for [data subscription](../cloud/taos-sql) with the capability to specify filter conditions.
7. Support for [data subscription](../taos-sql) with the capability to specify filter conditions.
8. High availability is supported by replication including multi-cloud replication.
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](/reference/taos-shell) for management, maintenance and ad-hoc queries.
10. Provides many ways to [get data in](/cloud/data-in) and [get data out](/cloud/data-out) data.
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.
11. Provides a Dashboard to monitor your running instances of TDengine.
12. Provides [connectors](/cloud/connector/) for [Java](/cloud/connector/java), [Python](/cloud/connector/python), [Go](/cloud/connector/go), [Rust](/cloud/connector/rust), and [Node.js](/cloud/connector/node).
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](../connector/rest-api/).
14. Supports seamless integration with [Grafana](/cloud/visual/grafana) for visualization.
14. Supports seamless integration with [Grafana](../visual/grafana) for visualization.
15. Supports seamless integration with Google Data Studio.
15. Supports seamless integration with Google Data Studio.
For more details on features, please read through the entire documentation.
For more details on features, please read through the entire documentation.
