Use Cases

Cache-as-a-Service (CaaS)

A cache is an important component of any application. In-memory caching can eliminate the bottlenecks for data access and processing to provide predictable latency and fast response time as an application’s user base grows. By implementing a cache-as-a-service across the organization, you can enable multiple applications to access a managed in-memory cache rather than slow disk-based databases.

The Hazelcast approach to cache-as-a-service

By using Hazelcast as a cache-as-a-service, developers can separate the caching layer from the application layer. With cache-as-a-service, you can add caching to any application without worrying about the cache implementation. Hazelcast provides a cache-as-a-service for scalable, reliable, and fast caching. Applications can use Hazelcast as a side-cache to their database or place the database in-line behind the caching service.

Hazelcast IMDG Cache-As-A-Service Cluster

The Hazelcast advantage

Fast, in-memory performance, ease of development, and scalability

Hazelcast provides a number of features that make it ideal as a cache-as-a-service. Hazelcast always stores and processes data in-memory for blazing-fast performance. It enables developers to leverage the cache with only minor modifications for many of their applications written in common languages. And Hazelcast elastically scales to handle more data and more user load thanks to its cloud-native architecture.

Features that make Hazelcast an optimal cache-as-a-service

Cloud-native architecture

Enables the elasticity to grow or shrink as needed.

Built-in security

Lets you protect sensitive data with access controls, thus simplifying the multi-tenant requirements of cache-as-a-service.

Native memory storage

Avoids garbage collection and provides predictable low latency across different applications without affecting each other.

Native client libraries

Java, .NET, and C++ applications can use native client libraries to access the cache. For other languages, applications can use Hazelcast REST and Memcached interfaces.

Hazelcast Management Center

Enables you to monitor cache server nodes, connected clients, and used caches. It provides notifications when cluster management operations take too long, making it easy to identify performance and stability issues.

WAN replication

Enables you to replicate the cache across multiple data centers to distribute the load to geographically remote users or to support disaster recovery strategies.

Standard APIs in JCache and Map interfaces

Hazelcast provides two standard APIs in its JCache and Map interfaces. JCache is standard for JSR 107 and the Map interface is based on java.util.Map. Developers can use MapStore and CacheStore, respectively for Map and JCache, to make Hazelcast automatically load and store data from a database.

High-Density Memory Store for near cache

Allows each app server to cache hundreds of GB locally, to improve data access to microseconds instead of milliseconds.

Related Resources

Webinar
| Video
| 60 minutes

Time to Make the Move to In-Memory Data Grids

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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.
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