{"id":384906,"date":"2020-11-19T08:03:21","date_gmt":"2020-11-19T13:03:21","guid":{"rendered":"http:\/\/www.marketnewsdesk.com\/?p=384906"},"modified":"2020-11-19T08:03:21","modified_gmt":"2020-11-19T13:03:21","slug":"gridgain-systems-named-to-deloitte-2020-technology-fast-500-for-third-consecutive-year","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/gridgain-systems-named-to-deloitte-2020-technology-fast-500-for-third-consecutive-year\/","title":{"rendered":"GridGain Systems Named to Deloitte 2020 Technology Fast 500\u2122 for Third Consecutive Year"},"content":{"rendered":"
\n

\n GridGain<\/em>
\n Ranked <\/em>
\n 380<\/em>
\n
\n th<\/em>
\n <\/sup>
\n Fastest Growing Company<\/em>
\n Nationally<\/em>
\n with <\/em>
\n 253<\/em>
\n Percent Revenue Growth Over the Past Four Years<\/em>
\n , <\/em>
\n Rank<\/em>
\n ed<\/em>
\n 73<\/em>
\n
\n rd<\/em>
\n <\/sup>
\n in the San Francisco Bay Area<\/em>
\n \n <\/p>\n

FOSTER CITY, Calif., Nov. 19, 2020 (GLOBE NEWSWIRE) — GridGain Systems<\/a>, provider of enterprise-grade in-memory computing solutions based on Apache\u00ae<\/sup> Ignite\u00ae<\/sup>, today announced it ranked number <\/a>380<\/a> on the Deloitte 20<\/a>20<\/a> Technology Fast 500\u2122<\/a>, a list of the 500 fastest growing technology, media, telecommunications, life sciences and energy tech companies in North America. GridGain grew 253 percent over the past four years and was ranked 73rd<\/sup> among San Francisco Bay Area companies.<\/p>\n

\u201cAs companies accelerate their digital transformations, our industry-leading in-memory computing platform provides the speed, scale and ease of deployment needed to rapidly build a high performance, data-driven IT infrastructure,\u201d said Abe Kleinfeld, President and CEO of GridGain Systems. \u201cWe\u2019re honored to achieve this ranking for the third consecutive year, and it reflects GridGain\u2019s continued ability to innovate, execute and deliver the solutions our customers depend on to run their businesses.\u201d<\/p>\n

\u201cFor more than 25 years, we\u2019ve been honoring companies that define the cutting edge, and this year\u2019s Technology Fast 500 list is proof positive that technology \u2014 from software and digital media platforms, to biotech \u2014 truly does permeate so many facets of our lives,\u201d said Paul Silverglate<\/a>, vice chairman, Deloitte LLP and U.S. technology sector leader. \u201cWe congratulate this year\u2019s winners, especially during a time when innovation is needed more than ever to address the monumental challenges posed by the pandemic.\u201d<\/p>\n

\n The GridGain In-Memory Computing Platform<\/strong>\n <\/p>\n

The GridGain in-memory computing platform provides in-memory speed and massive scalability for data-intensive applications. It can power a digital integration hub (or smart operational datastore, smart data hub or API platform) for building highly performant applications that aggregate and process defined subsets of data from multiple on-premises and cloud-based systems, including data warehouses, data lakes, on-premises business applications, SaaS applications and streaming data feeds. GridGain also enables hybrid transactional\/analytical processing (HTAP) to run pre-defined analytics on operational databases without impacting system performance. GridGain solutions require no rip-and-replace of existing databases and can be deployed on-premises, on a public or private cloud, or in a hybrid environment. GridGain can also function as a full-featured, standalone in-memory database or as a multi-tier computing environment that spans in-memory and disk-based data, allowing users to make a tradeoff between application performance and infrastructure cost. Based on the open source Apache Ignite project, GridGain offers up to a 1,000x improvement in performance versus disk-based databases when used as an in-memory data grid or in-memory database. GridGain supports data processing APIs such as ANSI-99 SQL, key-value, compute, machine learning and more, and supports ACID transactions \u2013 all at in-memory speeds.<\/p>\n

To learn more about\u00a0the GridGain in-memory computing platform:\u00a0\u00a0<\/p>\n