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.
Hazelcast Inc. today introduced a new in-memory data processing platform that it says will enable companies to analyze historical and real-time information at the same time.
Hazelcast is announcing the new Hazelcast Platform, enterprise software capable of serving as a single platform for transactional, operational and analytical workloads.
Hazelcast today is announcing the addition of disk-based persistence and enhanced SQL support for the company’s new solution, Hazelcast Platform.
In-memory computing brings computation together with data, leveraging data-aware execution, data locality and making it possible to dramatically improve performance and scalability for streaming analytics and machine learning.
Forrester Research has named Hazelcast a Strong Performer in The Forrester Wave™: Streaming Analytics, Q2 2021.
Microservices continue to see a surge in adoption and it is easy to see why. For businesses, they bring the promise of faster time-to-market, faster innovation, and greater scale, which are all critical when dealing with the many innovative and disruptive forces in today’s competitive climate.
Hazelcast today announced that it successfully achieved a stream processing performance milestone of one billion events per second with 26-millisecond latency on 720 virtual CPUs (vCPUs) in a public cloud deployment.
Hazelcast is releasing a reference implementation that simplifies a financial service organization’s ability to execute and scale financial risk calculations in the cloud while gaining real-time performance and fully-utilizing the resource-heavy investment.
Hazelcast announced the expansion of its channel program to include several new partners that increase the company’s go-to-market capabilities in verticals and regions experiencing strong cloud adoption.
There are no more posts.