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.
Recently, at Hazelcast, we have migrated our Management Center to TypeScript. Not just TypeScript, but the strictest TypeScript there is. If you are interested in why we decided to enable all the strict flags and benefits they provide, welcome to this post. Prelude 50k lines of JavaScript code of a React app. A small team […]
We can send an SQL query to Hazelcast and get results, a great feature. But did you know the data doesn’t have to be stored in Hazelcast to be queryable via Hazelcast? It could be somewhere like a Kafka topic or a CSV file, and you can still query it using Hazelcast’s SQL. This makes […]
Many organizations today are looking to gain real-time responsiveness from their IT infrastructure, if not for gaining competitive advantage, then for not getting left behind. It’s not always obvious when your business is doing “well enough,” as you might have consistently positive engagements with your customers, but at the same time, are you doing as […]
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We are proud to announce the first beta release of Hazelcast Platform 5.0. Attentive readers might notice the name of the release is just “Hazelcast Platform”, and not “Hazelcast IMDG” or “Hazelcast Jet”. In this blog post, we’ll explain the changes in the product name and how it relates to the IMDG and Jet products. […]
This week we’re launching a new web series we’re calling HazelVision. HazelVision is a set of technically oriented videos geared toward topics of interest to a technical audience. We’ll try to keep them to around 5 minutes each so they’re quick to watch, but we’ll point you to sources of deeper information if you want […]
We have released the Python client 4.2, featuring the brand new SQL support! You can start using it to query your data efficiently with the widely-known standard SQL syntax. You can install the latest version through PyPI by issuing the following command. pip install -U hazelcast-python-client SQL Support For a long time, Hazelcast IMDG and […]
Hazelcast Node.js Client 4.2 is now available! In this post, you can find information on the main updates, including the brand-new SQL querying feature. SQL Support Node.js client now supports querying against the new, state-of-the-art SQL engine introduced in Hazelcast IMDG 4.1. With the new engine: You can query with many new SQL expressions. You […]
Two years ago, when Forrester last published its Wave for Streaming Analytics, our streaming capabilities were still in the R&D phase. We were working on a technological challenge based on the belief there was a new generation of stream processing that was possible – one steeped in our ethos of defeating time. For the world […]
One of the features of Hazelcast Enterprise is the ability to share data between multiple Hazelcast clusters, whether geographically distant or adjacent. In this blog, we’ll look at the practicalities of keeping the data in multiple clusters synchronized. Business continuity wins There are two conflicting needs here. Data replication happens fastest the nearer the clusters […]
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