The real-time dream, Hazelcast aims to end ‘wait-&-see’ nightmares
Adrian Bridgwater digs into the latest features announced in Hazelcast Platform 5.2.
Hazelcast Alleviates ‘Wait-and-See’ Paradigm Limiting Real-Time Applications
Hazelcast is unveiling new capabilities that enable enterprises to join multiple streams of live data and merge them with large volumes of stored data to provide historical context, all within a single data processing platform.
KubeCon 2022: Hazelcast announces new data streaming capabilities
Hazelcast today announced new capabilities that aim to enable enterprises to join several streams of live data as well as merge them with large volumes of stored data in order to provide teams with historical context from a single data processing platform.
Hazelcast Offers Stream Processing Via SQL, Zero-Code Connectors
Hazelcast has announced new capabilities that enable enterprises to join multiple streams of live data and merge them with large volumes of stored data to provide historical context, all within a single data processing platform.
Storage News Ticker – October 27
Chris Mellor summarizes the new features of Hazelcast Platform 5.2 for his weekly news roundup.
The Rise of SQL
Hazelcast CEO looks to grow real-time data platform
The CEO of the data streaming vendor discusses the direction Hazelcast is heading in as it launches a serverless platform for real-time processing of streaming and contextual data.
Hazelcast Serverless Platform Accelerates Real-Time Applications
In this episode of TFiR Let’s Talk, Swapnil Bhartiya sits down with Manish Devgan, Chief Product Officer at Hazelcast, to introduce us to the company and its offerings. He goes into detail about the need for real-time data and how we have evolved from the batch system to processing as the streaming is coming in. He discusses the announcement of the
Hazelcast Launches Viridian Serverless to Simplify Real-Time Application Development
The Hazelcast Viridian serverless data platform enables companies to take immediate action on real-time data by speeding app development, simplifying provisioning, and enabling flexible and robust integration of real-time data into applications.
Do businesses really need real-time analytics? Data startups are counting on it.
Real-time database startups enable split-second analytics and machine learning for things like financial fraud prevention, dynamic pricing or product recommendations. But do everyday enterprises really need lightning-fast real-time data?