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-memory computing platform maker has Hazelcast is adding new features and enhancements to its namesake Java-based in-memory data grid.
In-memory data grids (IMDGs) historically have exceled in applications that require the fastest processing times and the lowest latencies. By adding a stream processing engine, called Jet, to its IMDG, Hazelcast is finding customers exploring new use cases at the cutting edge of high-performance computing.
As all online business becomes more competitive – within the same industry and in the broader realm of customer experience in web and mobile apps – low latency will continue to be a priority. So as a business, how can you ensure the highest performance from your systems when moving to the cloud?
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Monolithic apps are difficult to evolve and are almost certain to be bogged down with years of technical debt. This is why software architects are turning to microservices.
We touched on the "where" aspect of the architecture - the physical locations and devices - in which each stage runs. However, there are several phases for edge-to-cloud deployment. So, let's dig in!
In this two part series we'll explore the business value of edge computing as it relates to data capture and what it takes to set up a successful edge-to-cloud architecture.
In-memory computing increasingly is being tapped for its speed and security capabilities.
Even as the coronavirus pandemic has hastened digital transformation efforts, success remains elusive for many companies. This one-stop-shop to digital transformation might help.
The global rollout of the 5G wireless network promises to relieve many of those constraints. And first impressions don’t disappoint.
Hazelcast and Sorint.Lab S.p.A. announced the expansion of its partnership.
Hazelcast today announced the latest release of Hazelcast Jet which includes new application development features to its stream processing architecture.
Hear IBM’s Evaristus Mainsah talk about the company’s new edge computing solutions, which allow partners like Hazelcast, an in-memory computing platform provider, to solve problems around latency.
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