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.
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Hazelcast.org | IMDG Open Source
When speed, scalability, stability, and security are critical, Hazelcast IMDG delivers.
An in-memory data grid (IMDG) is a system that links together computers so they can share random-access memory (RAM) and work together in parallel to collectively process large data sets stored in that shared pool of RAM. An IMDG is used for building large-scale, parallelized, data processing applications that need to be very fast. In many modern data platforms today, disk I/O is the bottleneck, so an IMDG removes that limitation to significantly accelerate job/application performance. An IMDG is a low-level use case upon which multiple task-specific applications are built. Example applications built on IMDGs include simulations, payment processing systems, e-commerce engines, etc.
Why use an IMDG over an in-memory database (IMDB)? An in-memory database (IMDB) focuses on data storage, while an IMDG is about processing, and keeps data structures readily available in an application to enable high-speed, parallel processing. An IMDG simplifies application development since you have all data at your disposal, unlike an IMDB which requires you to read some data, process it, then write it back. The IMDB model restricts the amount of processing you can do since the application memory space is limited to the node on which the application is running.
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 millions 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.
Customer data stored in-memory
Gain an immediate, holistic and actionable view of your customers
Maximum application latency
Get time-critical information the instant you need it
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.
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.