This white paper discusses how the GridGain In-Memory Data Fabric easily powers both existing and new IOT applications in a distributed, massively parallel architecture on affordable, industry-standard hardware.
Gartner expects the Internet of Things (IoT) to have over 20 billion connected things by 2020. This many connected devices transmitting information will require an enormous amount of processing to derive value from this data. To cope with this rapid growth of the Internet of Things, successful IoT database platforms will need a data architecture which leverages in-memory computing. These architectures will address the significant challenges in terms of speed, scalability, variable workloads, and other issues created by IoT applications.
GridGain is an in-memory computing platform that delivers unprecedented speed and unlimited scale to modern data processing. Built on the Apache® Ignite™ open source project, GridGain enables high-performance transactions, real-time streaming, and fast analytics in a single, comprehensive data access and processing layer.
Unlike in-memory databases, GridGain works on top of existing databases and requires no rip-and-replace or any changes to an existing RDBMS. And, it can run on premise, in a hybrid environment, or on a cloud platform such as AWS, Microsoft Azure or Google Cloud Platform.
Read “Introducing the GridGain In-Memory Data Fabric” to learn how the features of GridGain can power your IoT applications.