GigaSpaces, a leading provider of in-memory computing (IMC) platforms, has upgraded InsightEdge, a Hybrid Transactional and Analytical Processing platform, to support Apache Spark 2.1. InsightEdge leverages Spark and GigaSpaces’ open source IMC data grid, provides a mission critical distributed RAM/SSD/SCM data store.
Hazelcast Adoption Continues to Grow as Open Source IMDG is Embedded in Multiple Apache Projects
Hazelcast, a leading open source in-memory data grid (IMDG), released figures demonstrating a notable increase in phone homes and downloads – in 2017 these have increased by 54% reaching 26 million per month. As Hazelcast IMDG becomes more widely adopted in the open source community, Apache Gora became the latest Apache project to use Hazelcast IMDG.
GridGain Systems Introduces Next-Generation In-Memory Computing Platform
GridGain Systems, provider of enterprise-grade in-memory computing platform solutions based on Apache® Ignite™, today announced GridGain 8.1. The solution expands the bounds of in-memory computing with a new memory-centric architecture, which leverages ongoing advancements in memory and storage technologies to provide distributed in-memory computing performance with the cost and durability of disk storage.
GigaSpaces XAP 12.1 Combines the Power of In-memory Computing with Agile Native Cloud Deployments and Hybrid Data Storage
GigaSpaces, a provider of in-memory computing (IMC) technologies, announced the availability of XAP 12.1, an update to the company’s flagship IMC data grid. The new version of XAP combines IMC with the agility of cloud-native deployments and the flexibility of hybrid data storage to offer a stable, highly available, extreme performance environment for data and analytics applications.
GridGain Professional Edition 1.9 Improves Performance, Adds Kubernetes® Support and More
GridGain Systems, provider of enterprise-grade in-memory computing platform solutions based on Apache® Ignite™, announced the availability of GridGain Professional Edition 1.9, a fully supported version of Apache Ignite 1.9. GridGain Professional Edition 1.9 includes improved performance and automated benchmarking, Kubernetes® support for deploying containerized Ignite clusters, expanded support for data manipulation language (DML), and more.
GridGain Professional Edition 1.9 Improves Performance, Adds Kubernetes® Support
GridGain Systems, provider of enterprise-grade in-memory computing platform solutions based on Apache® Ignite™, announced the availability of GridGain Professional Edition 1.9, a fully supported version of Apache Ignite 1.9. GridGain Professional Edition 1.9 includes improved performance and automated benchmarking, Kubernetes® support for deploying containerized Ignite clusters, expanded support for data manipulation language (DML), and more.
Hazelcast Releases 3.8 – The Fastest Open Source In-Memory Data Grid
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.
Introducing Hazelcast Jet – A New Lightweight, Distributed Data Processing Engine
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.
Visualizing Malaria in Zambia using Big Data
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.