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.
Hazelcast enables you to leverage the flexibility and performance of NoSQL data stores such as key-value and document databases, with the added benefits of a distributed, horizontally scalable system that runs entirely in memory for blazing-fast performance.
The Hazelcast IMap data structure is essentially a key-value store, which stores data as a set of unique identifiers, each with an associated value. A key-value store provides several advantages over traditional row/column databases. The simple format of key-value pairs makes them very fast for reads and writes – and Hazelcast further accelerates these operations by performing all processes in memory. Also, key-value stores are very flexible, which developers appreciate because it enables them to handle data outside of traditional structures.
Also, key-value stores do not require placeholders such as “null” for optional values, so they may have smaller storage requirements, and they often scale almost linearly with the number of nodes.
Key-Value Flexibility with Fast In-Memory Performance
As RAM prices continue to drop while capacity grows, organizations are moving applications with high-performance requirements to memory-based platforms. The Hazelcast IMap data structure provides the flexibility of NoSQL data stores with significantly increased performance because it processes all data in memory.
Hazelcast is horizontally scalable, so you can join hundreds of nodes in a cluster to aggregate terabytes of RAM to keep all your data in memory. Hazelcast replicates data across the cluster, so it has no single point of failure. In the case of a node failure, your application will continue operating with no downtime. As you scale out, resiliency increases.
Hazelcast provides many ways to tune availability and reliability, including setting up backup groups so the failure of an entire group can be managed gracefully. It even provides WAN replication in the case of the loss of an entire site. Also, it provides a write-through and write-behind caching of data to disk.
Everything you need to know to successfully implement maps in Hazelcast IMDG.
This FREE on-demand course provides a high-level overview of Hazelcast IMDG technology and operations.
The Hazelcast IMDG® Deployment and Operations Guide provides an introduction to the most important aspects of deploying and operating a successful Hazelcast® installation. This edition is current with Hazelcast IMDG version 3.11.
In this guide, you’ll learn about different approaches to topologies, advantages and disadvantage of various types of architecture and how to configure Hazelcast for optimal success. You’ll learn how to plan for lifecycle events to ensure high uptime and smooth operation. This guide also covers Hazelcast-specific optimization considerations to keep in mind when preparing for a new Hazelcast deployment. You’ll learn how to determine cluster size and how to authenticate cluster members and clients, as well as how to deploy and scale a Hazelcast cluster while ensuring failure detection and recovery. Moreover, you’ll learn about license management and how to report issues to Hazelcast. Download the guide to get started now.
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.