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.
CEO Kelly Herrell provides a quick overview of Hazelcast, its history, and the future of the leading in-memory computing platform. He begins with some background on the market and Hazelcast’s success to date, providing in-memory compute solutions on a global scale and growing rapidly. Industry trends like Kubernetes, microservices, hybrid cloud, edge computing, and machine learning are driving adoption of in-memory computing to empower applications to act instantaneously on data. It is used in payment processing, fraud detection, e-commerce, and edge computing, offering real-time processing and low latency for applications. Hazelcast is a boundary less modern digital compute and data layer for fast data and compute.
Recorded as part of Tech Field Day 23 on April 22, 2021.