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.
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Table of Contents Intro Let’s Write Your First Node.js App with Hazelcast Before you start Install The Hazelcast Client Package from NPM Your First Hazelcast App Resources TL;DR Install the package npm install hazelcast-client, grab a demo app and read API docs. Time To «Hello World!» less than 5 min. Intro On the behalf of […]
NOTE: An updated version of this blog was published on July 13, 2020. This article contains outdated information. Table of contents Intro Slow service Enable Spring Caching It’s a wrap! The folks at OpenCredo recently published a blog post entitled « Running and Testing Hazelcast in a Spring Boot Application ». They introduce some of […]
When I talk to the developers about Hazelcast, many of them ask how Hazelcast is different from NoSQL databases, and particularly from MongoDB. In this blog post, I will try to answer this question once and for all. MongoDB is an open source, document-oriented database designed with both scalability and developer agility in mind. Instead […]