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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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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The combination of technology readiness and business appetite puts us a little closer to wide-scale availability of a new breed of IT infrastructure.
Neil Hughes, host of The Tech Blog Writer podcast, and CEO Kelly Herrell discuss his professional journey from commercial fishing boats to CEO, Hazelcast's emergence and the future of the industry.
Hazelcast announced it closed a $21.5 million round of funding led by C5 Capital.
The streaming data pie is growing, and Hazelcast wants a piece of it.
Hazelcast, a seven-year-old Palo Alto, California-based startup developing a speedy in-memory computing platform, today announced that it’s raised $21 million.
Hazelcast, a start-up based in Palo Alto, California, closed a $21.5 million funding round for its in-memory computing platform.
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