This short video explains why companies use Hazelcast for business-critical applications based on ultra-fast in-memory and/or stream processing technologies.
Stream processing is a hot topic right now, especially for any organization looking to provide insights faster. But what does it mean for users of Java applications, microservices, and in-memory computing?
In this webinar, we will cover the evolution of stream processing and in-memory related to big data technologies and why it is the logical next step for in-memory processing projects.
Now, deploying Hazelcast-powered applications in a cloud-native way becomes even easier with the introduction of Hazelcast Cloud Enterprise, a fully-managed service built on the Enterprise edition of Hazelcast IMDG. Can't attend the live times? You should still register! We'll be sending out the recording after the webinar to all registrants.
Today we’re releasing Hazelcast Jet 4.3, our fourth release of 2020! We took part in Google Summer of Code that ended just a few weeks ago, and this release already brings a production-ready piece of work by our student, Mohamed Mandouh: distributed in-memory sorting. Mohamed’s primary focus was research into the feasibility of integrating RocksDB […]
Hazelcast Node.js client 4.0 is now available! Let’s see what are the main changes in this new release. Hazelcast Client Protocol 2.0 Node.js client now uses Hazelcast Open Binary Client Protocol 2.0, which has a number of enhancements and serialization improvements when compared with 1.x. For the end-user, it means that the client now supports […]
At Hazelcast, open source is not only a business model; it’s the foundation of our company. We believe in the right of users to access, read, and improve upon our work. Because we know that it’s not easy to get started in open source in general, especially within a specific project, we participated in this […]
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From Wikipedia, Reactive Programming is “a declarative programming paradigm concerned with data streams and the propagation of change.” The programming model is complex to master. It requires a lot of experience to feel comfortable with it. However, there’s no denying that it fits the cloud ecosystem perfectly. Since on-premises infrastructure is oversized, running a program […]
Google Summer of Code (GSoC) is a summer initiative that allows students to obtain a first deep dive into Open Source projects. It has several benefits: GSoC creates bonds between students and Open Source communities. Some, but not all, students continue to contribute to the Open Source project they worked on after GSoC This initiative […]
Today, we are happy to announce Hazelcast Cloud Public API support via GraphQL to provide more flexibility to automate Hazelcast Cloud clusters. If you have a Hazelcast Cloud account, you can go to GraphQL Explorer to try queries and mutations. Hands-on Examples Create Cluster In order to create a cluster in Hazelcast Cloud, you need […]
Imagine a client-server system that involves reading values from a data store. In the event of a connection failure with the server, the system will not be reading values. The consequences of such an event might be quite significant, including potentially costing money for a financial institution or time for a time-critical operation. If a […]
Hazelcast is a swiss-knife for distributed computing. You can use it as cache, distributed lock, key-value store, pub/sub, computing platform, and many more. Hazelcast also has a rich array of integrations that allow you to deploy it in cloud environments, inside microservices, or connect with your Java EE applications. How to find yourself in this […]
We are proud to announce the release of Hazelcast IMDG 4.1-BETA-1. It is a step toward the first minor release in the Hazelcast IMDG 4.x product line. Being a beta release, it provides a preview of the features coming in future releases and is not intended for production usage. Below, we highlight the most notable […]
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