CORPORATE 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. The Hazelcast platform combines the capabilities of a real-time stream processing engine with in-memory computing to provide a streamlined, high-performance, scalable, and reliable architecture.
According to a recent global survey of 600 IT decision makers, nearly four in five professionals said they face some level of difficulty in merging real-time streaming data with data at rest. With the Hazelcast platform, businesses can unify event flows with the context of traditional data sources, such as databases and data lakes, to accelerate revenue growth, dramatically reduce risk, or optimize the costs.
According to Forrester *, âTraditional data platforms are failing to meet new business demands that demand an uncompromising combination of real-time data, performance, scalability, embedded data, and security. Disparate technology stacks compromise the delivery of integrated and timely data to diverse applications, operational systems and analytics. The sweet spot is the ability to perform all of these workloads (transactional, operational, and analytical) in a single database, leveraging innovation in memory, multimodal, distributed, and cloud architectures.
From e-commerce to financial services to manufacturing, the use cases that can benefit from the Hazelcast platform are endless. From business monitoring to personalized offers for customers, businesses can leverage the Hazelcast platform to combine disparate data systems and continuously process data as it comes. are generated and unified with historical data.
âWhile data remains an organization’s most valuable resource, it is only useful if it can gain actionable insights in a timely manner,â said Kelly Herrell, CEO of Hazelcast. âThe Hazelcast platform represents a monumental step forward in building intelligent real-time applications that help businesses capture value that they would otherwise have missed.
The high performance and reliability of the Hazelcast platform is complemented by its ability to simplify application development and maintenance. With its ability to run transactional, analytical and operational workloads, the Hazelcast platform can act as a single data layer and access point that applications can call upon. This advantage is made possible by Hazelcast’s robust connector library. From MongoDB to Redis Labs to Snowflake, Hazelcast develops and maintains every connector to ensure high performance, reliability and security so developers only need to build the application with Hazelcast.
The Hazelcast platform is available today in beta with the hope that it will become generally available in August 2021. As part of the collaboration with IBM, features of the Hazelcast platform will also be available through the Hazelcast Platform for IBM Cloud Paks, an integrated software offering that runs on Red Hat OpenShift.
For more information on the Hazelcast Platform, please visit: https://hazelcast.com/products/hazelcast-platform/
* The Forrester wave: translytic data platforms, Q4 2019
âSuccessful businesses and their customers process critical data in hybrid cloud and edge environments to improve application performance. The Hazelcast platform processes data from disparate sources to help customers gain rapid insights and make informed business decisions, which can accelerate their digital transformations and accelerate business growth. We are delighted to offer our Cloud Pak customers the benefits of the Hazelcast platform, whether the data is processed in the data center or at the edge. – Evaristus Mainsah, Managing Director of Hybrid Cloud and IBM’s Edge Ecosystem.
âThe successful businesses of today and tomorrow are focused on reducing latency across all layers of the hardware and software stack to improve business operations. Enabling the Hazelcast platform of Intel Xeon Scalable processors and Intel Optane persistent memory enables businesses to run optimized real-time business. results and achieve competitive advantage. â- Intel Enterprise Analytics & AI CTO and Group Strategy Manager for Enterprise Data and Cloud Platforms Arijit Bandyopadhyay.
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