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 the general availability of Hazelcast IMDG 3.8.
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, today launched Hazelcast Jet – a distributed processing engine for big data streams. With Hazelcast’s IMDG providing storage functionality, Hazelcast Jet is a new Apache 2 licensed open source project that performs parallel execution to enable data-intensive applications to operate in near real-time.
VoltDB Unveils v7.0, The Fast Enterprise-Class Database for Powering Critical Data-Driven Actions Across Industries, in Real Time
VoltDB, the enterprise-class database that powers business-critical applications in today’s connected economy, has unveiled the latest version of its flagship solution, VoltDB v7.0. A broad range of Industries, including telecommunications, mobile gaming, advertising, casinos and financial services—any company that needs to ingest, analyze and act on data in the moment—rely on VoltDB to power faster, more intelligent applications to make the right decisions, when time matters.
EXASOL, a high-performance in-memory analytic database developer, and PATH, an international nonprofit organization and global leader in health and innovation, announced a partnership to support the Zambian government’s ambitious campaign to eliminate malaria by 2020.
Kinetica Delivers Advanced In-Database Analytics, Opening the Way for Converged AI and BI Workloads Accelerated by GPUs
Kinetica, provider of the fast, in-memory database accelerated by GPUs, announced the availability of in-database analytics via user-defined functions (UDFs). This capability makes the parallel processing power of the GPU accessible to custom analytics functions deployed within Kinetica.
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.