Nikita Ivanov,Founder & CTO
IN-MEMORY COMPUTING PLATFORM POWERS DIGITAL TRANSFORMATION
Companies undergoing digital transformations are unleashing the power of big data to create more enriching end user experiences and greater business insights. Digital transformation initiatives can take the form of web scale applications or Internet of Things (IoT) use cases which share two characteristics: high workloads and massive datasets. By storing data in RAM instead of retrieving it from disk, in-memory computing platforms offer 1,000x better performance than applications built on disk-based databases. They can also massively scale out by adding commodity nodes to the cluster, supporting petabyte-scale in-memory datasets.
In-memory computing users can transition to a Fast Data world. In this emerging world of hybrid transactional/analytical processing (HTAP), enriching end user experiences and real-time big data insights are driven based on the same operational dataset.
GridGain Systems is the in-memory computing platforms leader. The GridGain in-memory computing platform provides ACID transaction support and ANSI SQL-99 support. GridGain is installed between the existing application and data layers, without replacing the underlying database. GridGain works with all popular RDBMS, NoSQL and Hadoop® databases.
GridGain is built on the Apache® Ignite™ open source project. The GridGain in-memory computing platform is used by global enterprises in financial, software, e-commerce, retail, online business services, healthcare, telecom and other major sectors, with a client list that includes Barclays, ING, Sberbank, Finastra, IHS Markit, Workday, and Huawei. You can learn more and download a free 30-day trial of GridGain by visiting gridgain.com.