Hazelcast IMDG is a clustered, in-memory data-grid that manages application data and distributes processing using in-memory storage and parallel execution for breakthrough application speed and scale. In this Quick Start Guide, learn what an in-memory data grid can be used for, how to do simple query operations with Hazelcast IMDG, what sharing means with Hazelcast, and more. This paper is intended for software architects and developers who are planning or building systems requiring distribute infrastructure for application scalability and performance.
Microservices, as an architectural approach, has shown a great deal of benefit over the legacy style of monolithic single applications. Nevertheless, microservices are not without their drawbacks. The purpose of this white paper is to show first steps for using Spring Boot and Hazelcast IMDG® contribute to the microservices landscape, enhancing the benefits and alleviating some of the common downsides.
This white paper, written by Java Champion Ben Evans, provides an introduction for architects and developers to Hazelcast®’s distributed computing technology.
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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, an in-memory computing platform company, recently announced an advanced in-memory data grid solution, Hazelcast IMDG 3.12.
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 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.
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.
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.
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.
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.
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.
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