TDengine
TDengine is an open-sourced big data platform under GNU AGPL v3.0, designed and optimized for the Internet of Things (IoT), Connected Cars, Industrial IoT, and IT Infrastructure and Application Monitoring. Besides the 10x faster time-series database, it provides caching, stream computing, message queuing and other functionalities to reduce the complexity and cost of development and operation.
- 10x Faster on Insert/Query Speeds: Through the innovative design on storage, on a single-core machine, over 20K requests can be processed, millions of data points can be ingested, and over 10 million data points can be retrieved in a second. It is 10 times faster than other databases.
- 1/5 Hardware/Cloud Service Costs: Compared with typical big data solutions, less than 1/5 of computing resources are required. Via column-based storage and tuned compression algorithms for different data types, less than 1/10 of storage space is needed.
- Full Stack for Time-Series Data: By integrating a database with message queuing, caching, and stream computing features together, it is no longer necessary to integrate Kafka/Redis/HBase/Spark or other software. It makes the system architecture much simpler and more robust.
- Powerful Data Analysis: Whether it is 10 years or one minute ago, data can be queried just by specifying the time range. Data can be aggregated over time, multiple time streams or both. Ad Hoc queries or analyses can be executed via TDengine shell, Python, R or Matlab.
- Seamless Integration with Other Tools: Telegraf, Grafana, Matlab, R, and other tools can be integrated with TDengine without a line of code. MQTT, OPC, Hadoop, Spark, and many others will be integrated soon.
- Zero Management, No Learning Curve: It takes only seconds to download, install, and run it successfully; there are no other dependencies. Automatic partitioning on tables or DBs. Standard SQL is used, with C/C++, Python, JDBC, Go and RESTful connectors.
Documentation : https://www.taosdata.com/en/documentation/
Driven by the power of the open source community, TDengine currently serves hundreds of thousands of users across over 50 cities around the world. Moreover, more than 100 corporate clients scattered in various industries selected TDengine as a data processing solution, especially 10+ clients among them are leading companies listed in the Fortune Global 500. Besides, TDengine is also ranked 8th in the database category of CNCF Cloud Native Interactive Landscape (source)
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Tags : time serie, big data, matlab
Catégories : Logiciel
Thème : Données ouvertes, Traces de mobilité et des données associées, Logiciel Libre
Référent :
Défi auquel répond la ressource : Augmenter les connaissances partagées en cartographie et usages des véhicules et réseaux de transports
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Richesse recherchée : Expérimentation, Cas d'usages
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Communauté d'intérêt : Communauté du Logiciel Libre, Communauté autour des traces de mobilité et des données associées
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