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.
In a previous blog post, Designing an Evergreen Cache with Change Data Capture, Nicolas describes “one-way” change data capture (CDC). It is a one-way process. In Nicolas’ post, the database copy can change and CDC pushes the change to Hazelcast to align the two copies of the data. Let’s take this a stage further, with “two-way” […]
We have just released our newest version of Hazelcast C++ Client API. It has a lot of improvements and features compared to older releases and I would like to provide some insights into the thread structure of our client, including how it interacts with the user threads. IO Thread IO thread is one of the […]
We are pleased to announce that Hazelcast Command Line 4.2020.12 is now available. It supports Hazelcast IMDG 4.1.1 and Hazelcast Management Center 4.2020.12. It took longer than anticipated to get a proper CLI for Hazelcast, however, we hope you will find it was worth the wait. In this blog post, we will go through what […]
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“How much memory do I need for my data?” This is a pretty common question at the start of Hazelcast projects. Load it and measure it is one answer, which is accurate but not exactly popular. So, let’s take a quick look at why capacity planning isn’t as simple as it seems, by stepping through […]
Today we’re releasing Hazelcast Jet 4.4 and we have some exciting new features! Jet SQL Hazelcast Jet 4.4 brings you the first beta version of our SQL interface. You can now log into Jet from the command line and issue queries against the data sources you specify. They can be both data at rest (batch sources) […]
In the modern era of digital transformation, mainframe systems continue to stand out against the backdrop of the constantly changing ecosystem of global enterprise IT. More and more industries such as banking, retail, telecommunications, and healthcare rely on mainframe computing to manage processing of large volumes of data to serve thousands of users at any […]
Asynchronous C++ Client The latest release of the Hazelcast C++ client API features so many changes and there may be only a few APIs we didn’t touch. We kept the familiar structures and names as they were before, but we made numerous changes to take advantage of C++11 capabilities. Our new API fully supports asynchronous […]
I want to share an exciting new feature of Hazelcast C++ Client 4.0, the “Compile-time Non-Intrusive Serializer.” As you may already know, Hazelcast supports multiple ways of serialization. You can serialize an object into bytes and deserialize bytes into objects in one of the following ways using Hazelcast API: identified_serializer: This is by far one […]
Since we announced the nomination of Tomasz Gawęda, a new Hero has popped up. We are very happy to officially nominate Lenny Primak from the USA to be our latest Hero in the program. Lenny is a long-time contributor, but some of the Pull Requests he made couldn’t be merged by our teams in a […]
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