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.
Like other data-intensive industries, the healthcare industry requires software technologies that can handle huge volumes of data with high performance, scalability, reliability, and security. Traditional technologies like relational databases and mainframes are increasingly being complemented with in-memory computing systems to handle today’s processing requirements.
This whitepaper describes some of the healthcare-related use cases that are run by the Hazelcast In-Memory Computing Platform. With its performance advantages, Hazelcast is able to handle the most demanding data-centric workloads. And its simplified architecture allows it to be integrated with any existing infrastructure and to be deployed to any location from the edge to the cloud. The high availability capabilities also ensure that it can power 24/7 operations.
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