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.
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.
No posts were found matching that criteria.
Hazelcast Cloud Enterprise is now available on Amazon Web Services (AWS).
Hazelcast is looking to make it easier for organizations to benefit from machine learning alongside event streaming data, with the recent release of the Hazelcast Jet 4.0 update.
In-memory computing platform maker Hazelcast on Wednesday announced new support in its Hazelcast Jet event stream processing engine for artificial intelligence (AI) and machine learning (ML) deployments of mission-critical applications.
The latest release of the event stream processing engine, Hazelcast Jet, now helps enterprises unlock profit potential faster by accelerating and simplifying ML and artificial intelligence (AI) deployments.
Hazelcast CEO Kelly Herrell sits down with John Furrier of theCUBE to talk about the role Hazelcast can play within the security space.
David Brimley, Financial Services Industry Consultant, Hazelcast, speaks to FinextraTV about what financial services firms are doing with machine learning and what firms should consider as they progress through their machine learning journey.
In-memory computing startups are hot at the moment. You don’t need to look further for evidence than Hazelcast, an eight-year-old San Mateo, California-based startup developing a speedy low-latency data processing platform.
Hazelcast, the leading in-memory computing platform that delivers radically fast application performance at scale, today announced the expansion of its Series D round due to over-subscribed interest from global investment entities.
Hazelcast today announced the expansion of its Series D round due to over-subscribed interest from global investment entities.
There are no more posts.