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.
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.
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John DesJardins, CTO of Hazelcast, the developer of an in-memory computing platform, has shared his thoughts with us about Intel Optane PMem, HBM and DDR5 DRAM.
Hazelcast today announced the appointment and promotion of key executives to its leadership team.
Hazelcast today announced it has achieved Advanced Technology status within the AWS Partner Network (APN). To earn the highest designation within the APN, vendors must demonstrate the technical proficiency and excellent customer experience of an offering, which in this case is Hazelcast Cloud Enterprise.
Hazelcast discusses how in-memory computing and AI are the key to up-selling at scale in the financial services sector.
Real-time streaming data has become a reality for an increasing number of enterprise applications.
San Mateo, Calif., October 7, 2020 – Hazelcast, the leading open source in-memory computing platform, today announced that IBM will offer the Hazelcast In-Memory Computing Platform (IMCP) integrated as part of IBM’s Cloud Pak offerings, enterprise-ready containerized software running on Red Hat OpenShift. IBM’s Cloud Paks, including the Cloud Pak for Multicloud Management, can now […]
In-memory computing platform maker has Hazelcast is adding new features and enhancements to its namesake Java-based in-memory data grid.
In-memory data grids (IMDGs) historically have exceled in applications that require the fastest processing times and the lowest latencies. By adding a stream processing engine, called Jet, to its IMDG, Hazelcast is finding customers exploring new use cases at the cutting edge of high-performance computing.
As all online business becomes more competitive – within the same industry and in the broader realm of customer experience in web and mobile apps – low latency will continue to be a priority. So as a business, how can you ensure the highest performance from your systems when moving to the cloud?
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