Purpose-built In-Memory NoSQL Database for IoT – GridDB

Presented by

Basavaraj Soppannavar, Sr. Strategist IoT, Toshiba America Research Inc.

About this talk

Toshiba's GridDB is an open source specialized data store purpose-built for handling enormous amounts of data generated by the Internet of Things (IoT). GridDB offers in-memory processing to boost performance, time-series functionalities for IoT data, excellent scale-out on commodity hardware for increasing data needs and great reliability for mission-critical applications. Toshiba has been building large scale IoT projects even before IoT was known as IoT. GridDB was conceived at Toshiba in 2013 to solve growing data needs and time-series data related problems that its customers faced. Since 2014 Toshiba’s customers in Japan spanning industries such as utilities, manufacturing, building management etc. have been harnessing the power of GridDB. Join us to know more about: 1. Properties of IoT data and database requirements for handling it 2. Overview of GridDB 3. Technical details of GridDB including data models, performance, scalability, and reliability 4. Real world IoT use cases powered by GridDB 5. Programming Demo - modeling sample Wind Mill farm data using GridDB

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GridDB is an open source In-Memory NoSQL database best suited for mission critical IoT applications. Toshiba's GridDB offers high performance, high scalability and high reliability that are essential for IoT systems. GridDB supports Time Series data and numerous functions that operate on data associated with time-stamps. In-Memory architecture of GridDB lets primary data to be stored and processed in memory while simultaneously offering disk persistence (SSDs and HDDs) and thus significantly enhancing the performance of the entire system. GridDB's massive scale-out architecture allows for adding nodes on the fly without interrupting the running system. GridDB's hybrid cluster management with advanced master-slave model eliminates the risk of Single Point of Failure ensuring quick failover and high reliability. For additional information, please visit www.griddb.net