Ehcache vs. Hazelcast vs. memcached Comparison


Ehcache Terracotta	Hazelcast	memcached	+
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About Ehcache is an open source, standards-based cache that boosts performance, offloads your database, and simplifies scalability. It's the most widely-used Java-based cache because it's robust, proven, full-featured, and integrates with other popular libraries and frameworks. Ehcache scales from in-process caching, all the way to mixed in-process/out-of-process deployments with terabyte-sized caches. Terracotta actively develops, maintains, and supports Ehcache as a professional open source project available under an Apache 2.0 license. Contributors are welcome to join our community.	About In-Memory Computing Platform. The digital world is different. Microseconds matter. That's why the world's largest organizations rely on us to power their most time-sensitive applications at scale. New data-enabled applications can deliver transformative business power – if they meet today’s requirement of immediacy. Hazelcast solutions complement virtually any database to deliver results that are significantly faster than a traditional system of record. Hazelcast’s distributed architecture provides redundancy for continuous cluster up-time and always available data to serve the most demanding applications. Capacity grows elastically with demand, without compromising performance or availability. The fastest in-memory data grid, combined with third-generation high-speed event processing, delivered through the cloud.	About You can think of it as a short-term memory for your applications. memcached allows you to take memory from parts of your system where you have more than you need and make it accessible to areas where you have less than you need. The first scenario illustrates the classic deployment strategy, however you'll find that it's both wasteful in the sense that the total cache size is a fraction of the actual capacity of your web farm, but also in the amount of effort required to keep the cache consistent across all of those nodes. With memcached, you can see that all of the servers are looking into the same virtual pool of memory. Also, as the demand for your application grows to the point where you need to have more servers, it generally also grows in terms of the data that must be regularly accessed. A deployment strategy where these two aspects of your system scale together just makes sense.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Key-value database solution for organizations	Audience Companies searching for a real-time data platform	Audience Companies looking for a distributed memory object caching system
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API	API Offers API
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Pricing No information available. Free Version Free Trial	Pricing No information available. Free Version Free Trial	Pricing No information available. Free Version Free Trial
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Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Terracotta Founded: 2003 United States www.ehcache.org	Company Information Hazelcast United States hazelcast.com	Company Information memcached memcached.org/about
Alternatives Hazelcast	Alternatives Redis Redis Labs	Alternatives Dragonfly DragonflyDB
Infinispan	Apache Geode Apache	Ehcache Terracotta
Amazon ElastiCache Amazon	Apache Ignite	Hazelcast
Apache Ignite	Aerospike	eXtremeDB McObject
Redis Redis Labs View All	Amazon DynamoDB Amazon View All	Amazon ElastiCache Amazon View All
Categories Caching Database Key-Value Databases	Categories Application Development Application Performance Monitoring (APM) Big Data Caching Data Pipeline Database Distributed Databases Document Databases Event Stream Processing In-Memory Databases Key-Value Databases Real-Time Analytic Databases	Categories Caching In-Memory Databases Key-Value Databases

Integrations Azure Marketplace DataClarity Unlimited Analytics Dragonfly Elastic Observability FF4J Heimdall Data IBM Cloud Pak for Watson AIOps Isovalent JetRails Kamailio Kamatera LOGIQ New Relic OTT Stream PHPixie Payara Enterprise Phalcon TDX360 TapData WEBDEV Show More Integrations View All 1 Integration	Integrations Azure Marketplace DataClarity Unlimited Analytics Dragonfly Elastic Observability FF4J Heimdall Data IBM Cloud Pak for Watson AIOps Isovalent JetRails Kamailio Kamatera LOGIQ New Relic OTT Stream PHPixie Payara Enterprise Phalcon TDX360 TapData WEBDEV Show More Integrations View All 11 Integrations	Integrations Azure Marketplace DataClarity Unlimited Analytics Dragonfly Elastic Observability FF4J Heimdall Data IBM Cloud Pak for Watson AIOps Isovalent JetRails Kamailio Kamatera LOGIQ New Relic OTT Stream PHPixie Payara Enterprise Phalcon TDX360 TapData WEBDEV Show More Integrations View All 23 Integrations
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