hazelcast

Where would you draw the line between a data store and a cache? Persistence? Hazelcast allows you to write your in-memory data on disk. Derived data vs. source of truth? If the cost of creating the data is cheap, why would you persist them? Let’s ... [More] agree that there’s no clear-cut defining property but a blurry […] The post Querying Your IMDG: Why and How? appeared first on Hazelcast. [Less]

This post was co-authored with Michal Biesek, a software engineer at Intel. It was originally published on the pmem.io blog as well. If interested in Persistent Memory development or PMDK in particular, check the other posts there, too. The mission ... [More] of the PMDK team has always been and will always be to make programming persistent […] The post Using Memkind in Hazelcast appeared first on Hazelcast. [Less]

I’m pleased to announce Management Center v4.2021.04 has been released as of today! Let’s see what this new release brings. Before we start, please note that the following features require you to have an enterprise license. You can request a free ... [More] enterprise trial license here. Configuration Check Improvements Management Center has a very useful feature […] The post Hazelcast Management Center v4.2021.04 Release appeared first on Hazelcast. [Less]

The JDBC API was the first way to connect and execute queries on databases in Java and is still widely used today. To connect to a specific database, you add the relevant driver to the classpath which implements the JDBC API. On the other side, the ... [More] application code only uses the SQL language: JDBC acts […] The post JDBC Driver 4.2 is Released! appeared first on Hazelcast. [Less]

Today we’re releasing Hazelcast Jet 4.5, the second release this year! We’re bringing Jet closer to IMDG, unifying their SQL syntax and features. Our goal is to have a single SQL dialect that seamlessly uses the features of both Jet and IMDG. This ... [More] version of Jet is built on Hazelcast IMDG 4.2. Improved SQL Experience […] The post Jet 4.5 is Released! appeared first on Hazelcast. [Less]

Java developers are particularly spoiled when using Hazelcast. Because Hazelcast is developed in Java, it’s available as a JAR, and we can integrate it as a library in our application. Just add it to the application’s classpath, start a node, and ... [More] we’re good to go. However, I believe that once you start relying on Hazelcast […] The post From Embedded to Client-Server appeared first on Hazelcast. [Less]

“How much memory do I need for my data?“. — continued! In an earlier post, the space needed to store basic data, such as numbers, was examined. However, we deferred the discussion related to more complex data structures, like the example below: ... [More] Person { String firstName; String lastName; int age; } At the time, we […] The post How Much Memory Do I Need for My Data … Part 2 appeared first on Hazelcast. [Less]

It’s a pleasure to announce the general availability of Hazelcast IMDG 4.2! In this blog post, we highlight the most notable features and enhancements in this release. We resolved almost 150 GitHub issues and merged roughly 350 pull requests and you ... [More] can find the complete list of changes in the release notes. Don’t hesitate to […] The post Hazelcast IMDG 4.2 GA is Released! appeared first on Hazelcast. [Less]

Contract-first development is a methodology where we first create a design document (or interface definition) that formally describes the REST API we are going to implement, before writing any actual prototype. This methodology is useful for clearly ... [More] communicating the structure and capabilities of the upcoming API before we implement it. Given a formal description of […] The post Contract-First Development Using RestAssured and OpenAPI appeared first on Hazelcast. [Less]

We’re currently preparing a scientific paper on Hazelcast Jet, describing its architecture based on symmetric, data-local, non-blocking distributed event processing. As part of this effort, we implemented the vendor-neutral NEXMark benchmark suite ... [More] , consisting of 8 streaming queries that aim to capture typical kinds of questions you’re likely to ask about your real-time data. The queries deal […] The post Billion Events Per Second with Millisecond Latency: Streaming Analytics at Giga-Scale appeared first on Hazelcast. [Less]