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.
In today's high-speed, time-is-money world, Hazelcast IMDG moves the needle.
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Hazelcast.org | IMDG Open Source
When speed, scalability, stability, and security are critical, Hazelcast IMDG delivers.
If high throughput and low latency results in quantifiable value for you, Hazelcast gives you the performance to get the most out of your system.
Scale up quickly when your load spikes, then scale down as resources are no longer required. This flexibility lets you efficiently meet load demands.
You face huge opportunity costs when your high-speed systems are down. Hazelcast provides built-in business continuity capabilities to ensure your system keeps running.
Your high-speed systems have data that must be protected from unauthorized access. Hazelcast provides authentication, authorization, end encryption to secure your data.
In-Memory Data Grid
Hazelcast IMDG is easy to work with and brings a highly resilient and elastic memory resource to all of your applications. At its core, Hazelcast is one of the most widely adopted Open Source solutions, with tens of thousands of installed clusters and million of server starts per day. On top of this popular Open Source platform, Hazelcast IMDG Enterprise HD, Hazelcast IMDG Enterprise, and Hazelcast IMDG Professional Support offer licensed features for large scale deployments. Now you can free your data from slow, expensive, and hard-to-scale relational data sources. With Hazelcast IMDG, your database remains the system of record, but bottlenecks disappear.
Reduction in time to accuracy
From minutes to seconds
Max application latency
Improved user and customer experience
Impress technical and business users (and your customers) with instant response times to complex event processing requirements.
Meet Burst Requirements
Millions of people or devices hitting your system at the same time, and all expecting an instant response? This is exactly what an IMDG is designed to handle, and Hazelcast is the industry leader for in-memory solutions.
Scale and improve your performance elastically, reducing hardware requirements and driving operational efficiency.
Complex transactions per second
Fraud detection in microseconds
Reduce Risk of Fraud
Run multiple (7+) fraud detection algorithms in the time it takes to swipe a card. And that’s just one example.
IMDG caching enables you to comfortably exceed expectations associated with stringent SLA requirements.
Expand Transaction Limits
Faster processing = more transactions = more business. This also reduces risk of fraud and improves customer satisfaction.
DRAM is dirt cheap. That’s why in-memory databases, analytics, and data grids are surging in popularity among firms that have an insatiable need for performance and scalability. But, databases, analytics platforms, and data grids target very different use cases. In-memory data grids, in particular, are often misunderstood because they support an extensive set of use cases that often overlap other technologies. Join guest speaker Mike Gualtieri, Principal Analyst at Forrester Research, Greg Luck, CEO of Hazelcast®, and Ken Kolda, Software Architect of Ellie Mae on this radio-show style webinar to boost your in-memory IQ.
In-Memory Databases (IMDB) and In-Memory Data Grids (IMDG) are two technologies that address real-time computing and big data needs without having to start over with an entirely new set of IT systems. While they may sound similar, the differences are significant and understanding your options will help you make better decisions.
Your business operates in an environment with constantly evolving technology. For business and IT leaders, it can be overwhelming to keep up with new developments and determine what is critical to implement immediately, and what technologies can or should wait. In-memory processing technologies are becoming pervasive and have a direct and indirect effect on how a business operates. Hazelcast has created this whitepaper to discusses these technologies and the respective implications.
Upgrading software without downtime is one of the most important factors in systems that are highly-available. Users do not tolerate downtime from maintenance windows and expect their applications to be online all the time. Hazelcast IMDG® 3.8 introduced the ability to do online upgrades without any maintenance downtime. It means that business transactions can be processed while the software is being upgraded—keeping business users happy.
This white paper takes a deep dive overview of the Hazelcast IMDG feature Rolling Upgrades that will show how you can keep your system running continuously while upgrading IMDG servers and clients.
Whether you're interested in learning the basics of in-memory systems, or you're looking for advanced, real-world production examples and best practices, we've got you covered.