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.
Hazelcast CEO Kelly Herrell shares how a new class of translytics applications capable of processing data in real-time could transform IT.
Hazelcast is best known as a developer of in-memory data grid (IMDB) technology, a RAM-loving layer for speeding up operational applications. But with the Hazelcast Platform launch currently slated for September, the San Mateo, California company is moving beyond the IMDG and into the realm of real-time applications that combine historical and real-time data for a range of use cases.
In-memory data engine company Hazelcast has announced the latest version of its product which it is calling the Hazelcast Platform.
No posts were found matching that criteria.
San Mateo, California-based Hazelcast has introduced a real-time intelligent apps platform that unifies transactional, operational and analytical workloads by combining stream processing with in-memory computing.
In-memory data grid developer Hazelcast yesterday announced that version 5.0 of its Hazelcast Platform, a real-time intelligent applications platform for enterprises, will be widely available in August.
The next frontier for data processing is a new platform capable of delivering insights, actions, and value the instant data is born.
In-memory data supplier Hazelcast is adding storage drive persistence and better SQL support in a v5.0 release, so it can be used to unify processing of real-time streaming data, transactional, operational and analytic workloads.
Hazelcast's new technology will provide a unified SQL query engine on a single cluster that will allow users to query both real-time data and data at rest.
Das Release bringt das In-Memory Data Grid sowie die Stream-Verarbeitung mit Hazelcast Jet auf einer Plattform zusammen – inklusive erweitertem SQL-Support.
There are no more posts.
