This short video explains why companies use Hazelcast for business-critical applications based on ultra-fast in-memory and/or stream processing technologies.
Stream processing is a hot topic right now, especially for any organization looking to provide insights faster. But what does it mean for users of Java applications, microservices, and in-memory computing?
In this webinar, we will cover the evolution of stream processing and in-memory related to big data technologies and why it is the logical next step for in-memory processing projects.
Now, deploying Hazelcast-powered applications in a cloud-native way becomes even easier with the introduction of Hazelcast Cloud Enterprise, a fully-managed service built on the Enterprise edition of Hazelcast IMDG. Can't attend the live times? You should still register! We'll be sending out the recording after the webinar to all registrants.
Recently, Hazelcast CEO Kelly Herrell shared more information about the new release as well as the company’s future road map.
Hazelcast's CTO John DesJardins chatted with Adrian Bridgwater about the importance of acting on data in real-time versus waiting for it to be written to the database before being able to take action.
Hazelcast, Inc. today released a global study revealing that 8 in 10 (79%) of retail and financial services companies 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 behavior trends and a rising tide of incoming data.
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The next frontier for data processing is a new platform capable of delivering insights, actions, and value the instant data is born.
Hazelcast's new technology will provide a unified SQL query engine on a single cluster that will allow users to query both real-time data and data at rest.
Das Release bringt das In-Memory Data Grid sowie die Stream-Verarbeitung mit Hazelcast Jet auf einer Plattform zusammen – inklusive erweitertem SQL-Support.
Hazelcast Inc. today introduced a new in-memory data processing platform that it says will enable companies to analyze historical and real-time information at the same time.
Hazelcast is announcing the new Hazelcast Platform, enterprise software capable of serving as a single platform for transactional, operational and analytical workloads.
Hazelcast today is announcing the addition of disk-based persistence and enhanced SQL support for the company’s new solution, Hazelcast Platform.
In-memory computing brings computation together with data, leveraging data-aware execution, data locality and making it possible to dramatically improve performance and scalability for streaming analytics and machine learning.
Forrester Research has named Hazelcast a Strong Performer in The Forrester Wave™: Streaming Analytics, Q2 2021.
Microservices continue to see a surge in adoption and it is easy to see why. For businesses, they bring the promise of faster time-to-market, faster innovation, and greater scale, which are all critical when dealing with the many innovative and disruptive forces in today’s competitive climate.
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