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.
Serkan is a software engineer who graduated from Bogazici University.
Before Hazelcast, he worked at a cybersecurity startup as a backend developer. His interest in open source led him to Hazelcast clients, to which he contributed before joining Hazelcast. He enjoys learning new things in his field and sharing them with others.
Nowadays, he is working on Hazelcast Node.js Client in the APIs team.
No posts were found matching that criteria.
Hazelcast Node.js Client 4.2 is now available! In this post, you can find information on the main updates, including the brand-new SQL querying feature. SQL Support Node.js client now supports querying against the new, state-of-the-art SQL engine introduced in Hazelcast IMDG 4.1. With the new engine: You can query with many new SQL expressions. You […]