Companies need a data-processing solution that increases the speed of business agility, not one that is complicated by too many technology requirements. This requires a system that delivers continuous/real-time data-processing capabilities for the new business reality.
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.
Setting up servers and configuring software can get in the way of the problems you are trying to solve. With Hazelcast Cloud we take all of those pain points away.
Watch this webinar to learn how you can instantly fire up and then work with Hazelcast Cloud from anywhere in the world. With our auto-generated client stubs for Java, Go, Node.js, Python and .NET, we can have you connected and coding in less than a minute!
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industry’s leading in-memory computing platform.
The in-memory speed you count on, with the convenience and scalability of cloud.
Hazelcast continues to see rapid adoption among the world's largest financial institutions across dozens of use cases, including fraud detection and payment processing.
We are seeing the major technologies driving the digital workplace, including artificial intelligence (AI), big data, cloud computing and Internet of Things (IoT) starting to converge. The growing need of enterprises to access, use and exploit data harvested from intelligent apps is driving the convergence. In fact, it could be argued that data is the cornerstone of the intelligent digital workplace.
In the pre-digital era, IT departments mastered a variety of technological approaches to extract value from data.
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Thirteen Bay Area companies disclosed nearly $400 million in new funding at midweek.
Hazelcast today announced it has closed a $21.5 million funding round led by new investor C5 Capital.
This seventh DBTA 100 list spans a wide variety of companies that are each uniquely addressing today’s demands for hardware, software, and services. We encourage you to explore these companies and their offerings.
Hazelcast announced today that Steve Wooledge has joined as chief marketing officer (CMO).
The digital age has presented businesses with a significant challenge: adaptation. Organizations can only hope to survive in this new era if they are able to adapt to the new reality of doing business.
With the partnership, developers will be able to leverage Speedment’s Auto DB Integration as a means of streamlining application development.
Hazelcast, an in-memory computing platform company, has made available its Hazelcast Jet streaming engine. The company says the engine is the industry’s fastest stream processing engine and that it simplifies implementation for deployments.
Hazelcast, the in-memory organization, declared the general accessibility of Hazelcast Jet, the only streaming engine with no external system dependencies.
Das System zur Verarbeitung von parallelen Datenströmen sowie Batch-Daten liegt erstmals als Major Release vor und baut auf JDK 11 und Hazelcast IMDG 3.12 auf.
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