Enterprise-Class Memcached for Developers Starting at ~$0/hour.
Your dataset can grow to any size without dealing with nodes and clusters. When upgrading or downgrading your plan, you do not lose any data, plus you don’t need to move your dataset between cloud instances – simply change your memory limit setting.
Instant failover – if a node fails, data is instantly served from a replica in a seamless manner and without human intervention.
Datasets are processed by multiple cores and on the strongest cloud instances to guarantee best performance.
You can backup your dataset to S3 periodically or at any time you want and easily import backups to the service. In addition, use our memcache_populator tool for importing backups to any server.
Forget instances, servers list, clusters, scaling, data persistence / high availability settings and failure recovery. Select a plan and all the rest is taken care of by us!
We enable multiple buckets in a single plan, each running in a dedicated process and in a non-blocking manner.
You can choose to constantly save your data to persistent storage without affecting performance.
All resources are constantly monitored as shown on our status page. Enjoy our 24/7 support via online helpdesk or phone.
Jump into the action now with our free for life, no strings attached 30MB add-on. It’s yours as long as you’re using it. We’ll reclaim the free resource after 30 days of being inactive. Limited to one free bucket per Heroku account.
The available application locations for this add-on are shown below, and depend on whether the application is deployed to a Common Runtime region or Private Space. Learn More
Region | Available |
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United States | Available |
Europe | Available |
Region | Available | Installable in Space |
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Dublin | ||
Frankfurt | Available | |
London | ||
Montreal | ||
Mumbai | ||
Oregon | Available | |
Singapore | ||
Sydney | ||
Tokyo | Available | |
Virginia | Available |
Need a larger plan? Let our customer success team help! Learn more.
To provision, copy the snippet into your CLI or use the install button above.