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.
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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Hazelcast announced that its in-memory data grid features optimizations for Intel Optane DC Persistent Memory, which provides increased data density and more cost-efficient access to in-memory speeds.
Hazelcast was named one of the fastest-growing companies on Deloitte’s Technology Fast 500.
The latest update to Hazelcast IMDG also improves performance, scalability and reliability for mission-critical, time-sensitive workloads.
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Hazelcast expands its third-party integrations with connectors to accelerate and expand the streaming ecosystem and capabilities for data-centric enterprises.
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Hazelcast announced a co-engineering and co-innovation collaboration with Intel to accelerate the performance of real-time applications.
Hazelcast is entering a strategic co-engineering and co-innovation partnership with Intel to accelerate the performance of real-time applications, artificial intelligence, and internet of things solutions for enterprises.
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