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25 years of Java, welcome to the data-driven 3rd act

Media Coverage – May 21, 2020

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.

Latenzzeit den Garaus machen: Die Heraus­for­derung für Banken bei KI, Betrug und Daten-Handling

Media Coverage – May 20, 2020

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.

Streaming processing for edge computing environments

Media Coverage – May 20, 2020

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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25 years of Java, welcome to the data-driven 3rd act

Media Coverage – May 21, 2020

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.

Latenzzeit den Garaus machen: Die Heraus­for­derung für Banken bei KI, Betrug und Daten-Handling

Media Coverage – May 20, 2020

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.

Streaming processing for edge computing environments

Media Coverage – May 20, 2020

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.

Stream-Verarbeitung: Hazelcast Jet 4.1 strömt über Kubernetes

Media Coverage – May 20, 2020

Für das Framework zum Verarbeiten paralleler Datenströme existieren Operatoren für Kubernetes und OpenShift. Außerdem gibt es neue Data-Sink-APIs für Java.

Hazelcast Simplifies High-Performance Stream Processing for Edge Computing Environments

Press Release – May 13, 2020

Hazelcast today announced significant optimizations to its real-time event streaming engine, Hazelcast Jet, further establishing it as a premier solution for edge computing environments.

Hazelcast Releases Cloud Enterprise on AWS

Media Coverage – Apr 6, 2020

Hazelcast, a provider of an in-memory computing platform, is releasing Hazelcast Cloud Enterprise on Amazon Web Services (AWS), a low-latency deployment of Hazelcast software as a managed service.

Hazelcast Announces Managed Service for Simplified Management of Multi-Cloud and Cloud-to-Edge Applications

Press Release – Mar 31, 2020

Hazelcast Cloud Enterprise is now available on Amazon Web Services (AWS).

Hazelcast Jet 4.0 boosts event streaming data platform

Media Coverage – Mar 17, 2020

Hazelcast is looking to make it easier for organizations to benefit from machine learning alongside event streaming data, with the recent release of the Hazelcast Jet 4.0 update.

Hazelcast Jet Simplifies Enterprise Python and Java AI/ML Deployments

Media Coverage – Mar 11, 2020

In-memory computing platform maker Hazelcast on Wednesday announced new support in its Hazelcast Jet event stream processing engine for artificial intelligence (AI) and machine learning (ML) deployments of mission-critical applications.