Hazelcast, a leading open source in-memory data grid (IMDG) with hundreds of thousands of installed clusters and over 17 million server starts per month, announced a new solution which integrates Hazelcast’s IMDG and Apache Spark – an open source data processing engine that enables data workers to efficiently execute streaming, machine learning or SQL workloads which require fast iterative access to data sets.
GridGain Systems, provider of enterprise-grade in-memory computing solutions based on Apache® Ignite™, announced the availability of GridGain Professional Edition 1.8, a fully supported version of Apache Ignite 1.8. GridGain Professional Edition 1.8 includes an In-Memory SQL Grid, which extends the platform by providing in-memory distributed database capabilities. The In-Memory SQL Grid will help users dramatically speed up and scale out their SQL applications with minimal or no code changes.
SAP SE (NYSE: SAP) announced the SAP S/4HANA® 1610 release, the latest enhancement to SAP’s next-generation ERP business suite. By utilizing a simplified data model and the award-winning SAP Fiori® 2.0 user experience, the new release helps reduce complexity and unleash the next wave of business productivity. Through prediction and pattern recognition capabilities, along with machine learning, SAP S/4HANA lays the foundation to reduce exception management for more routine transactions, empowering the workforce to focus on higher-value tasks with embedded analytics and real-time insights.
In this special technology white paper, The GridGain In-Memory Data Grid, you’ll learn that with the cost of system memory dropping 30% every 12 months, in-memory computing has become the first choice for a variety of workloads across all industries. In-memory computing can provide a lower TCO for data processing systems while providing an unparalleled performance advantage.
In this special technology white paper, High-Performance Data Architectures for the Internet of Things, you’ll discover how Lambda architectures can provide the capabilities required to create hybrid transactional/analytical platforms (HTAP) that are capable of providing real-time insights into the massive amount of streaming data to power useful actions at the device level.
Kinetica Unveils Accelerator Solutions for Installing and Deploying Applications on its GPU-Accelerated Database
Kinetica, provider of the fastest, in-memory database accelerated by GPUs, announced the immediate availability of Install Accelerator and Application Accelerator programs, two new software and services offerings designed to help customers quickly ingest, explore and visualize streaming data sets, including for Internet of Things (IoT) use cases, by leveraging the power of GPUs.
In this special technology white paper, In-Memory Computing: Leading the Fast Data Revolution, you’ll learn how the in-memory computing industry stands on the cusp of a fast data revolution that will greatly change the way human beings live their lives.
I recently caught up with Dr. William Bain, Founder and CEO at ScaleOut Software, to discuss his perspectives on real-time analytics as well as the benefits and challenges for businesses adopting this technology.
In the video presentation below, courtesy of our friends over at GridGain, Eric Karpman shares how some of the world’s largest financial institutions use in-memory computing to address the challenges of high frequency trading.
SAP Announces SAP HANA®, Express Edition, for Rapid Application Development on a Personal Computer or in the Cloud
SAP SE (NYSE: SAP) announced SAP HANA®, express edition, a streamlined, downloadable version of its in-memory platform optimized for fast and continuous development of data-driven applications.