Hazelcast Blog

Use Cases

Caching

Operating in today’s always-on, high-volume, high-speed, high-expectation world requires a different level of processing enablement. When microseconds can mean the difference between success and failure, Hazelcast in-memory caching solutions can deliver blinding speed with scalable and flexible data caching.

Fraud Detection

Fraud has grown to epidemic proportions as our digital lives become increasingly interconnected, dependent, and exploitable. In-memory solutions such as Hazelcast IMDG and Jet enable real-time fraud detection or fraud detection machine learning at speeds and scale that drive security enablement to a new level.

In-Memory Stream Processing

Embed stream processing into your enterprise applications with Hazelcast to immediately process and respond to data.

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JCache Provider

Hazelcast enables organizations to seamlessly integrate with JCache. These operations can help to scale out applications and manage their high-speed access to their frequently used data. Hazelcast smoothly achieves its caching potential with a 100 percent compliant implementation that transparently registers with the JCache subsystem.

Memcached Upgrade

Use Hazelcast as a drop-in replacement for Memcached, with the added benefits of elastic scaling (much larger cache sizes), ultra-fast performance, high availability, and easy maintenance. No changes are required in your apps/clients to upgrade to Hazelcast other than pointing to the Hazelcast cluster. Hazelcast has been used in production as an alternative to Memcached as well as a plug-in enhancement.

Messaging

Hazelcast can be used as a fast and lightweight messaging system that lets applications communicate in real time at high speed. You can write to Hazelcast in a publish-subscribe paradigm, which means your applications can write (“publish”) to specific channels called “topics,” and then one or more subscribers can read the messages from that topic.

Streaming Microservices

Microservices help simplify development, testing, deployment, fault tolerance, and scaling. Now gain higher throughput and lower latency with an ultra-fast, lightweight infrastructure built for running modern enterprise architectures.

Open Banking

Learn how in-memory technologies can satisfy the EU Revised Payment Service Directive (PSD2) in support of Open Banking.

Oracle Coherence Replacement

Enterprises demand proven high-performance transactional systems that can scale out elastically, and provide concurrency across distributed application nodes. This often drives the purchase of expensive and proprietary solutions such as Oracle Coherence across a host of projects. Although Coherence is a mature product in the financial services sector, several critical issues are driving projects to migrate to Hazelcast in many customers worldwide.

Payment Processing

Hazelcast in-memory solutions modernize payment processing, accelerate bank and merchant performance, and improve customer experience.

Real-Time Stream Processing

Hazelcast Jet provides all the necessary tools to build a real-time stream processing application. It is a powerful processing framework for querying data streams on top of an elastic in-memory storage system, where the process may ultimately store its results.

Redis Replacement

Redis is good for simple data caching use cases, but in the real world you will want more than simple caching from your in-memory computing platform. When you’ve hit a wall at scaling Redis or struggled to work around its security issues, it’s time to turn to Hazelcast.