GridGain Experts Participate in Multiple Industry Events to Share How In-Memory Computing Can Make Applications 1,000x Faster and Scalable to Petabytes

FOSTER CITY, Calif. – Oct. 30, 2017GridGain Systems, provider of enterprise-grade in-memory computing solutions based on Apache® Ignite™, today highlighted its ongoing commitment to helping businesses of all sizes understand how in-memory computing can help them address the speed and scale requirements of modern, data-intensive applications.

“The demand for information about in-memory computing continues to soar as more and more enterprises understand the real-time performance demands that arise from their digital transformation initiatives, such as web-scale applications and the Internet of Things,” said Terry Erisman, Vice President of Marketing at GridGain. “Our in-memory computing experts enjoy sharing their practical knowledge about how to apply distributed in-memory computing technology to a range of data-intensive use cases.”

GridGain just wrapped up another successful In-Memory Computing Summit North America. The Summit, which ran October 24-25, 2017, is the only industry-wide event for in-memory computing users. Over the coming months, GridGain will host or participate in the following conferences, webinars and meetups:


  • Big Data London 2017, November 15-16, 2017 – GridGain will be in booth #227 to discuss the need for in-memory computing for real-time big data applications.
  • Open Data Science Conference (ODSC), November 2-4, 2017 – On Friday, November 3, GridGain Product Manager and Apache Ignite PMC Chairman Denis Magda will present “Apache Ignite: The In-Memory Hammer in Your Data Science Toolkit.”
  • Devoxx Morocco, November 14-16, 2017 – On Thursday, November 16, GridGain Technology Evangelist Akmal Chaudhri will present “Apache Spark and Apache Ignite: Where Fast Data Meets the IoT.”




  • Sydney IBM Bluemix Meetup Group, November 2, 2017 – GridGain Director of Solutions Architecture Rachel Pedreschi will present “Fast Data meets Big Data in the IoT – Using Apache Ignite.”
  • Bay Area Apache® Ignite™ Meetup, November 2, 2017 – GridGain Lead Architect Valentin Kulichenko will present “Building Consistent and Highly Available Distributed Systems with Apache Ignite and GridGain.” GridGain Product Manager and Apache Ignite PMC Chairman Denis Magda will follow with “Harnessing the 21st Century with a Distributed Memory-Centric SQL.”
  • Byte Academy: Python, FinTech, Blockchain, DataSci, Quant, November 2, 2017 – GridGain Technology Evangelist Akmal Chaudhri will present “Powering Up Banks and Financial Institutions with Distributed Systems.”
  • Bay Area In-Memory Computing Meetup, November 14, 2017 – GridGain Director of Solutions Architecture Rachel Pedreschi, will present, “Using GridGain’s Multi-Datacenter Replication to Build a Bulletproof Application.”

About GridGain Systems
GridGain Systems is revolutionizing real-time data access and processing by offering an in-memory computing platform built on Apache® Ignite™. GridGain solutions are 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, Misys, IHS Markit, Workday, and Huawei. GridGain delivers unprecedented speed and massive scalability to both legacy and greenfield applications. Deployed on a distributed cluster of commodity servers, GridGain software can reside between the application and data layers (RDBMS, NoSQL and Apache® Hadoop®), requiring no rip-and-replace of the existing databases, or it can be deployed as an in-memory transactional SQL database. GridGain is the most comprehensive in-memory computing platform for high-volume ACID transactions, real-time analytics, web-scale applications and HTAP. For more information, visit

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Terry Erisman

GridGain Systems

(650) 241-2281

GridGain is a trademark or registered trademark of GridGain Systems, Inc. Apache, Apache Cassandra, Cassandra, Apache Hadoop, Hadoop, Apache Ignite, and Ignite are trademarks of The Apache Software Foundation. All other product and company names herein may be trademarks of their registered owners.