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 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 […]
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Hazelcast and Sorint.Lab S.p.A. announced the expansion of its partnership.
Hazelcast today announced the latest release of Hazelcast Jet which includes new application development features to its stream processing architecture.
Hear IBM’s Evaristus Mainsah talk about the company’s new edge computing solutions, which allow partners like Hazelcast, an in-memory computing platform provider, to solve problems around latency.
This episode features Patrick O’Neil of FedEx and David Brimley of Hazelcast.
Spanning the spectrum of well-established and cutting edge, the DBTA 100 list recognizes companies that are innovating and preparing for the future.
In-memory computing platform provider Hazelcast is upping its edge-computing game again in the latest release of its real-time event streaming engine, Hazelcast Jet.
This is a guest post for Computer Weekly Open Source Insider written in full by John DesJardins in his role as field CTO and VP of solution architecture for North America region at operational in-memory computing company Hazelcast.
In vielen modernen Branchen ist eine geringe Latenzzeit – also die Zeit, die Daten von ihrer Quelle zu ihrem Ziel benötigen – heute durchaus entscheidend. Für Banken und Finanzdienstleister gilt dies umso mehr, da sich in diesem Sektor die Geschwindigkeit, mit der Netzwerke Kommunikation übertragen und Transaktionen ausführen, direkt proportional zur Rentabilität verhält. Und weil Zeit Geld ist, kann die Differenz zwischen Milli- und Mikrosekunden gleichzeitig einen erheblichen Unterschied zwischen großen Gewinnen oder Verlusten bedeuten.
Hazelcast, the platform for in-memory computing, has announced major improvements to its event-based real-time streaming engine Hazelcast Jet. The product is also intended to facilitate integration with OpenShift and Kubernetes.
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