GridGain® Systems, provider of enterprise-grade in-memory computing solutions powered by the Apache® Ignite® distributed database, announced GridGain 8.8, the latest release of the company’s in-memory computing platform. The release features enhanced support for GridGain’s multi-tier database engine, which scales up and out across memory and disk.
GridGain 8.8 Advances Its Multi-Tier Database Engine to Scale Beyond Available Memory Capacity and Meet Growing Customer Demand
January 16, 2021 by
ActiveViam Launches its Data Lab to Help Companies Find Insights into their Future
October 13, 2019 by
ActiveViam, a leader of in-memory analytics solutions for operational decision making, announced the creation, within the company, of a new entity specialized in Data Science. This Data Lab, attached to the R&D department of ActiveViam Paris, is dedicated to enhancing the forecasting capacity of its customers and prospects by providing them with richer insights into their markets, operations and customers.
Hazelcast Enhances Open Source Ecosystems with In-Memory Speed
October 1, 2019 by
Hazelcast, a leading in-memory computing platform that delivers the System of Now™, unveiled new third-party integrations with connectors to accelerate and expand the streaming ecosystem and capabilities for data-centric enterprises. The Hazelcast in-memory computing platform uniquely integrates proven data grid technology with next-generation event stream processing capabilities. The extremely lightweight footprint allows enterprises to accelerate their business applications on any cloud or edge device, in addition to on-premises data centers.
Distributed Data Caching For Big Data
March 27, 2019 by
In this contributed article, Neeraj Murarka, CTO & Co-founder of Bluzelle, discusses distributed data caching techniques design for big data. The importance of a cache is self-evident: it reduces the strain on a database by positioning itself as an intermediary layer between the database and the end users – broadly speaking, it will transfer data from a low-performance location to a higher-performance location.
GridGain® Professional Edition 2.7 Introduces TensorFlow Integration, Enhanced Usability, Transparent Data Encryption at Rest
December 16, 2018 by
GridGain Systems, provider of enterprise-grade in-memory computing solutions based on Apache® Ignite™, announced the immediate availability of GridGain Professional Edition 2.7, a fully supported version of Apache Ignite 2.7. GridGain Professional Edition 2.7 introduces TensorFlow™ integration for enhanced training of deep learning (DL) models.
GigaSpaces Analyzes Black Friday Comparing 100 Million Items in 2 Milliseconds
November 23, 2018 by
GigaSpaces, the provider of InsightEdge, a leading in-memory real-time analytics platform for instant insights to action announced that Swedish-based PriceRunner has successfully deployed its price comparison site, powered by GigaSpaces XAP In-Memory Computing Platform.
Hazelcast Jet 0.5 – New High-Level API Increases Developer Productivity for Real-Time IoT, Big Data Applications
November 27, 2017 by
Hazelcast, a leading open source in-memory data grid (IMDG) with tens of thousands of installed clusters and over 39 million server starts per month, announced the 0.5 release of Hazelcast Jet – an application embeddable, distributed computing platform for fast processing of big data sets.
VoltDB Extends Open Source Capabilities for Development of Real-Time Applications
October 29, 2017 by
VoltDB, the enterprise-class translytical database that powers business-critical applications, announced it is expanding its open source licensing to enable developers to rapidly build, test and deploy real-time applications with the VoltDB data platform.
GigaSpaces Empowers Real-Time Data-Driven Organizations with New Insights Platform
September 25, 2017 by
GigaSpaces, a leading provider of in-memory computing (IMC) platforms, announced the next-generation of its in-memory computing platform, unifying the company’s flagship in-memory data grid, XAP, with its open-source data science and analytics product, InsightEdge.
VoltDB Unveils Real-time Predictive Fraud Detection & Prevention
September 1, 2017 by
VoltDB, the enterprise-class database that powers mission-critical applications, introduced the industry’s first database to enable real-time predictive fraud detection and prevention. With User Defined Function (UDF) support for SQL, VoltDB v7.6 enables enterprises to accelerate the identification and prevention of fraud before a transaction is complete, drastically reducing risk and enhancing the customer’s overall brand experience.
