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Distributed Data Caching For Big Data

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

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

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

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

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

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

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.

GigaSpaces Launches InsightEdge 2.1 to Accelerate Insight-Driven Transformation

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.