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.
Learn about the challenges and opportunities of moving from your traditional architecture (including mainframe systems) to multi-channel customer self-service systems and the role that in-memory technology plays in that transition.
This case study presents a comparison of what you might face when trying to pursue digital transformation with your existing infrastructure alone, versus adding a modern application platform like Hazelcast, showing how a global top ten bank is using Hazelcast to enable traditional systems migration to web-based customer interfaces for online banking.
