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Hazelcast Enhances its In-Memory Computing Platform

Media Coverage
March 7, 2019 @ 1:57pm PDT

Hazelcast, a computing platform company, is updating its in-memory data grid solution, Hazelcast IMDG 3.12 with new features focused on data integrity, cloud interoperability, performance-sensitive data storage, and more.

Hazelcast New IMDG Release Strengthens Data Integrity; Improves Performance, Scale and Ease of Deployment

Media Coverage
March 4, 2019 @ 1:53pm PDT

Hazelcast, an in-memory computing platform company, recently announced an advanced in-memory data grid solution, Hazelcast IMDG 3.12.

19 open source software-related startups that will blow up in 2019, according to VCs

Media Coverage
March 1, 2019 @ 10:00am PDT

Last year, open source-centric software companies were at the center of some major deals: Salesforce acquired Mulesoft, Microsoft acquired GitHub, VMware acquired Heptio, IBM announced it would acquire Red Hat, Cloudera and Hortonworks merged, and Elastic went public. (Subscription Required)

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Hazelcast Enhances its In-Memory Computing Platform

Media Coverage
March 7, 2019 @ 1:57pm PDT

Hazelcast, a computing platform company, is updating its in-memory data grid solution, Hazelcast IMDG 3.12 with new features focused on data integrity, cloud interoperability, performance-sensitive data storage, and more.

Hazelcast New IMDG Release Strengthens Data Integrity; Improves Performance, Scale and Ease of Deployment

Media Coverage
March 4, 2019 @ 1:53pm PDT

Hazelcast, an in-memory computing platform company, recently announced an advanced in-memory data grid solution, Hazelcast IMDG 3.12.

19 open source software-related startups that will blow up in 2019, according to VCs

Media Coverage
March 1, 2019 @ 10:00am PDT

Last year, open source-centric software companies were at the center of some major deals: Salesforce acquired Mulesoft, Microsoft acquired GitHub, VMware acquired Heptio, IBM announced it would acquire Red Hat, Cloudera and Hortonworks merged, and Elastic went public. (Subscription Required)

SD Times News Digest

Media Coverage
February 27, 2019 @ 1:43pm PDT

Hazelcast has announced a new in-memory data grid solution, Hazelcast IMDG 3.12. The new solution was designed to provide the performance at scale required by many organizations, offering features for data integrity, cloud interoperability, and performance-sensitive data storage.

In-Memory Data Grid ‘Puts Java Locks on Steroids’

Media Coverage
February 26, 2019 @ 1:35pm PDT

Hazelcast today announced the beta release of the latest version of its namesake in-memory data grid, Hazelcast IMDG 3.12. With this release, the company adds new features focused on data integrity, cloud interoperability and performance-sensitive data storage.

Hazelcast grid tunes for data scalability tradeoffs

Media Coverage
February 26, 2019 @ 1:34pm PDT

Data scalability drives in-memory data grid (IMDG) maker Hazelcast to support subsystems favoring consistency or availability, depending on designers' requirements. IMDGs continue to find use in large distributed systems, and their use may be spreading.

Hazelcast In-Memory Breakthroughs Redefine Data Integrity for Critical Workloads

Press Release
February 26, 2019 @ 6:00am PDT

Built and proven to provide the performance at scale required by the world’s largest organizations, IMDG 3.12 advances its technical superiority with new features focused on data integrity, cloud interoperability, performance-sensitive data storage and more.

What to consider when choosing big data file formats

Media Coverage
February 22, 2019 @ 9:00am PDT

When choosing a data format for analytics workloads, storage efficiency, processing speed and interoperability should be considered, along with the tools and languages used for processing the data.

5 best practices for managing real-time data integration

Media Coverage
February 14, 2019 @ 8:02pm PDT

Real-time data integration isn't like traditional data integration -- "it's moving, it's dirty and it's temporal," cautions one data pro. Experts offer up some best practices. Enterprises are starting to embrace a variety of real-time data streams as part of their data management infrastructures. This runs the gamut from extremely high-frequency market trading data to less frequent updates like IoT readings, weather data and customer counters.