--- sidebar_label: Introduction title: Introduction to TDengine Cloud Service --- TDengine Cloud, is the fast, elastic, serverless and cost effective time-series data processing service based on the popular open source time-series database, TDengine. With TDengine Cloud you get the highly optimized and purpose-built for IoT time-series platform, for which TDengine is known. This section introduces the major features, competitive advantages, typical use-cases and benchmarks to help you get a high level overview of TDengine. ## Major Features The major features are listed below: 1. While TDengine supports [using SQL to insert](../data-in/insert-data), it also supports [Schemaless writing](/reference/schemaless/) just like NoSQL databases. TDengine also supports standard protocols like [InfluxDB LINE](/develop/insert-data/influxdb-line),[OpenTSDB Telnet](/develop/insert-data/opentsdb-telnet), [OpenTSDB JSON ](/develop/insert-data/opentsdb-json) among others. 2. TDengine supports seamless integration with third-party tools like [Telegraf](../data-in/telegraf),[Prometheus](../data-in/prometheus),they can write data into TDengine with simple configuration and without a single line of code. 3. Support for [time series specific queries](../taos-sql/distinguished), including aggregation, nested query, downsampling, interpolation and others. 4. Support for [user defined functions](../taos-sql/udf). 5. Support for [caching](../taos-sql/database). TDengine always saves the last data point in cache, so Redis is not needed in some scenarios. 6. Support for [stream processing](../taos-sql/stream). 7. Support for [data subscription](../taos-sql/tmq) with the capability to specify filter conditions. 8. High availability is supported by replication including multi-cloud replication. 9. Provides an interactive [command-line interface](../tools/cli) for management, maintenance and ad-hoc queries. 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. 12. Provides [connectors](../programming/connector/) for [Java](../programming/connector/java), [Python](../programming/connector/python), [Go](../programming/connector/go), [Rust](../programming/connector/rust), and [Node.js](../programming/connector/node). 13. Provides a [REST API](../programming/connect/rest-api/). 14. Supports seamless integration with [Grafana](../visual/grafana) for visualization. 15. Supports seamless integration with Google Data Studio. For more details on features, please read through the entire documentation. ## Competitive Advantages By making full use of [characteristics of time series data](https://tdengine.com/tsdb/characteristics-of-time-series-data/), TDengine Cloud differentiates itself from other time series platforms, with the following advantages. - **[High-Performance](https://tdengine.com/tdengine/high-performance-time-series-database/)**: TDengine Cloud is a fast, elastic, serverless purpose built platform for IoT time-series data. It is the only time-series platform to solve the high cardinality issue to support billions of data collection points while outperforming other time-series platforms for data ingestion, querying and data compression. - **[Simplified Solution](https://tdengine.com/tdengine/simplified-time-series-data-solution/)**: Through built-in caching, stream processing and data subscription features, TDengine provides a simplified solution for time-series data processing. It reduces system design complexity and operation costs significantly. - **[Cloud Native](https://tdengine.com/tdengine/cloud-native-time-series-database/)**: Through native distributed design, sharding and partitioning, separation of compute and storage, RAFT, support for kubernetes deployment and full observability, TDengine is a cloud native Time-Series Database and can be deployed on public, private or hybrid clouds. It is Enterprise ready with backup, multi-cloud replication, VPC peering and IP whitelisting. - **[Ease of Use](https://tdengine.com/tdengine/easy-time-series-data-platform/)**: For administrators, TDengine Cloud provides worry-free operations with a fully managed cloud native solution. For developers, it provides a simple interface, simplified solution and seamless integration with third party tools. For data users, it provides SQL support with powerful time series extensions built for data analytics. - **[Easy Data Analytics](https://tdengine.com/tdengine/time-series-data-analytics-made-easy/)**: Through super tables, storage and compute separation, data partitioning by time interval, pre-computation and other means, TDengine makes it easy to explore, format, and get access to data in a highly efficient way.