Data Science and Machine Learning with Java

Webinar: April 15, 2020

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In-Memory Computing

With Zing, Java-based in-memory computing becomes practical. Create pauseless terabyte-scale in-memory data stores.

Zing supports demanding memory-based workloads

"Zing is ideal for Red Hat JBoss Data Grid customers who are looking to scale up memory heap sizes and store large datasets on fewer nodes while still achieving very predictable response time performance."
Mike Piech, General Manager, Middleware, Red Hat

Process more data without pausing

Remove Java-caused limits to scalability. Modernize your applications and fully realize the benefits of NoSQL and in-memory technologies while delivering business-transformative capabilities that weren’t possible before.

Hazelcast & Zing

Deliver results in real time

  • Make better business decisions
  • Run analytics on live transactional datasets with fast response times
  • Achieve nearly instantaneous report creation and drill-down
  • Convert batch systems to real time

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Hold Over 8 TB of data in memory

Without pauses, stalls or response time outliers

Deliver results in real time

Migrate to in-memory computing and provide rapid feedback while reducing business risk

Remove barriers between systems

Combine data from transactional and analytics systems

Deliver consistent response times

Turbocharge analytics, planning, forecasting, logistics and other critical systems

Resources Section

Quartet FS

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JBoss Data Grid

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Start processing datasets over 8 TB today

Azul Zing requires no coding changes. Try it with your applications free.

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