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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, IoT and Big Data developers now have access, on various Cloud providers, to the same robustness, speed and scalability for which TDengine is known. TDengine Cloud delivers a comprehensive, serverless time-series platform that allows customers to focus on solving business needs not only by freeing them from operations and maintenance, but also by providing features such as caching, stream processing and PubSub in one integrated platform thus reducing complexity. At the same time, customers can rest assured that ubiquitous third-party tools such as Prometheus, Telegraf, Grafana and MQTT brokers are supported. Naturally, TDengine Cloud supports connectors in Python, Java, Go, Rust and Node.js thus allowing developers to develop in their language of choice. With SQL support as well as support for schema-less ingestion, TDengine Cloud is adaptable to the needs of all developers. TDengine Cloud also provides additional functions specifically for time series analysis, which makes data analysis and visualization a lot simpler.
TDengine Cloud, is the fast, elastic, and cost effective time-series data processing service based on the popular open source time-series database, TDengine. With TDengine Cloud, IoT and Big Data developers now have access, on various Cloud providers, to the same robustness, speed and scalability for which TDengine is known. TDengine Cloud delivers a comprehensive time-series platform that allows customers to focus on solving business needs not only by freeing them from operations and maintenance, but also by providing features such as caching, stream processing and PubSub in one integrated platform thus reducing complexity. At the same time, customers can rest assured that ubiquitous third-party tools such as Prometheus, Telegraf, Grafana and MQTT brokers are supported. Naturally, TDengine Cloud supports connectors in Python, Java, Go, Rust and Node.js thus allowing developers to develop in their language of choice. With SQL support as well as support for schema-less ingestion, TDengine Cloud is adaptable to the needs of all developers. TDengine Cloud also provides additional functions specifically for time series analysis, which makes data analysis and visualization a lot simpler.
This is the documentation structure for TDengine Cloud.
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.
TDengine Cloud, is the fast, elastic, 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 and typical use-cases to help you get a high level overview of TDengine cloud service.
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@@ -45,7 +45,7 @@ For more details on features, please read through the entire documentation.
By making full use of [characteristics of time series data](https://tdengine.com/tsdb/characteristics-of-time-series-data/) and its cloud native design, TDengine Cloud differentiates itself from other time series data cloud services, with the following advantages.
-**Worry Free**: TDengine Cloud is a fast, elastic, serverless purpose built cloud platform for time-series data. It provides worry-free operations with a fully managed cloud service. You pay as you go.
-**Worry Free**: TDengine Cloud is a fast, elastic, purpose built cloud platform for time-series data. It provides worry-free operations with a fully managed cloud service. You pay as you go.
-**[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.
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1. With its built-in caching, stream processing and data subscription, system complexity and operation cost are highly reduced.
2. With SQL support, it can be seamlessly integrated with many third party tools, and learning costs/migration costs are reduced significantly.
3. With the elastic, serverless and fully managed service, the operation and maintenance costs are reduced significantly.
3. With the elastic, fully managed service, the operation and maintenance costs are reduced significantly.
