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.
The Hazelcast In-Memory Computing Platform is comprised of Hazelcast IMDG, the most widely deployed in-memory data grid, and Hazelcast Jet, the industry’s most advanced in-memory stream processing solution.
The platform is fast, scalable, compact, portable, reliable, and secure. It can be deployed on-premises (including with containers and Kubernetes), in the cloud, or in the managed cloud service.
Hazelcast is certified to run on Intel Optane DC Persistent Memory. Hazelcast takes advantage of Optane in two distinct ways. First, it can use Optane in volatile memory mode as a more cost-effective alternative to RAM for in-memory computing, and at higher densities. Second, it can use Optane in non-volatile memory mode as a persistence layer that provides fast node recovery with the Hot Restart feature, enabling recovery several times faster than with SSDs.
If you need instant response in dealing with high-volume, complex transactions in a distributed environment, Hazelcast is the optimal, proven in-memory computing architecture for your needs. With response times of microseconds, there is no faster technology upon which to build your competitive differentiation.
Sub-millisecond response times allow you to perform computing tasks that would have been unthinkable just a few years ago. We power cloud-native, artificial intelligence and analytic applications for some of the most demanding data environments in the world.
Elastically scale to hundreds of nodes with hundreds of terabytes of data each, then scale down as needed. Hazelcast offers internet scale and performance, while providing the elasticity to keep you at an optimal operating point for systems resources. Natively containerized and available in every major PaaS, there is no more efficient choice for powering your microservices and IoT architectures.
The Hazelcast In-Memory Computing Platform handles massive volumes of streaming data while providing microsecond response times to complex events. Always-on, always-processing with machine learning and microservices architectures enable a new generation of continuous intelligence applications.
Time is the new currency of business.
in-memory data grid
In-memory Stream Processing
On-demand Managed Service
Are you a developer, software engineer or architect looking to apply in-memory technologies to your current architecture? Are you looking to deliver ultra-fast response times, better performance, scalability and availability? Are you seeking new tools and techniques to manage and scale data and processing through an in-memory-first and caching-first architecture?
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.
This white paper, written by Java Champion Ben Evans, provides an introduction for architects and developers to Hazelcast®’s distributed computing technology.
Contact us now to learn more about how our in-memory computing platform can help you leverage data in ways that immediately produce insight and actions.