Displaying items by tag: Hazelcast Platform

GUEST RESEARCH: Hazelcast, the provider of the real-time intelligent applications platform, today released a global study revealing that 8 in 10 (79%) of retail and financial services companies globally struggle to harness real-time data and combine it with historical data to glean better insights for engaging customers, increasing revenue and boosting conversion rates, especially amid increasingly unpredictable consumer behaviour trends and a rising tide of incoming data. This compares to 65% of retail and financial services companies in Australia and just 55% in New Zealand.

Published in Guest Research
Thursday, 30 September 2021 15:49

Hazelcast Platform hits general availability milestone

COMPANY NEWS: Hazelcast, the real-time intelligent applications platform, today is announcing that the Hazelcast Platform is generally available and marks a milestone for real-time applications and analytics. With the Hazelcast Platform, enterprises can utilise a single platform for transactional, operational and analytical workloads. The Hazelcast Platform combines the capabilities of a real-time stream processing engine with in-memory computing to deliver a simplified architecture that is highly performant, scalable and reliable.

Published in Data

COMPANY NEWS: Hazelcast, the provider of the real-time intelligent applications platform, today is announcing the addition of disk-based persistence and enhanced SQL support for the company's new solution, Hazelcast Platform. In addition to new capabilities, the Hazelcast Platform provides a seamless, zero-downtime upgrade path for customers using Hazelcast 3.x and 4.x products.

Published in Enterprise Solutions

COMPANY NEWS: Hazelcast, the real-time intelligent applications platform, announces the new Hazelcast Platform, enterprise software capable of serving as a single platform for transactional, operational and analytical workloads. The Hazelcast Platform combines the capabilities of a real-time stream processing engine with in-memory computing to deliver a simplified architecture that is highly performant, scalable and reliable.

Published in Enterprise Solutions

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