{"id":25504,"date":"2021-01-16T06:00:11","date_gmt":"2021-01-16T14:00:11","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=25504"},"modified":"2021-01-13T12:05:55","modified_gmt":"2021-01-13T20:05:55","slug":"gridgain-8-8-advances-its-multi-tier-database-engine-to-scale-beyond-available-memory-capacity-and-meet-growing-customer-demand","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2021\/01\/16\/gridgain-8-8-advances-its-multi-tier-database-engine-to-scale-beyond-available-memory-capacity-and-meet-growing-customer-demand\/","title":{"rendered":"GridGain 8.8 Advances Its Multi-Tier Database Engine to Scale Beyond Available Memory Capacity and Meet Growing Customer Demand"},"content":{"rendered":"\n
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GridGain\u00ae Systems<\/a>, provider of enterprise-grade in-memory computing solutions powered by the Apache\u00ae \u00a0Ignite\u00ae distributed database, announced GridGain 8.8, the latest release of the company\u2019s in-memory computing platform. The release features enhanced support for GridGain\u2019s multi-tier database engine, which scales up and out across memory and disk. The changes enable customers to leverage the disk tier of the database to query much larger datasets, reduce total cost of ownership, and secure sensitive or personal data at rest. Companies can now use GridGain for a greater number of production use cases, ranging from complex real-time analytics to mission-critical transactional workloads.<\/p>\n\n\n\n

\u201cAs our customers expand their use of GridGain, they increasingly require the flexibility to scale workloads beyond available memory capacity,\u201d said Abe Kleinfeld, president and CEO of GridGain. \u201cAs a result, we are continuing to evolve our data persistence technology to simplify GridGain cluster management, reduce disk requirements and improve performance, while lowering TCO and accelerating time to value. The combination of more effective disk utilization and higher memory quotas for SQL allows GridGain to support significantly larger and more complex real-time analytics use cases.\u201d<\/p><\/blockquote>\n\n\n\n

GridGain\u2019s multi-tier database engine enables companies to build modern applications that support transactional and analytical workloads on the same dataset by using Apache Ignite as a database that scales beyond the available memory capacity. Ignite allocates memory for hot data and accesses the disk tier whenever applications query cold records.<\/p>\n\n\n\n

Key features of GridGain 8.8<\/strong><\/p>\n\n\n\n