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Redis To Go was created to make the managing Redis instances easier, whether it is just one instance or serveral. Deploying a new instance of Redis is dead simple, whether for production or development. | Dynomite is a generic dynamo implementation that can be used with many different key-value pair storage engines. Currently these include Redis and Memcached. Dynomite supports multi-datacenter replication and is designed for high availability. |
| - | Replication;Highly available reads;Pluggable Datastores;Standard open source Memcached/Redis ASCII protocol support;Scalable I/O event notification server;Peer-to-peer, and linearly scalable;Cold cache warm-up;Asymmetric multi-datacenter replications;Internode communication and Gossip;Functional in AWS and physical datacenter |
Statistics | |
GitHub Stars - | GitHub Stars 4.2K |
GitHub Forks - | GitHub Forks 532 |
Stacks 51 | Stacks 20 |
Followers 119 | Followers 56 |
Votes 18 | Votes 9 |
Pros & Cons | |
Pros
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Integrations | |

Redis Cloud is a fully-managed service for running your Redis dataset. It overcomes Redis’ scalability limitation by supporting all Redis commands at any dataset size. Your dataset is constantly replicated, so if a node fails, an auto-switchover mechanism guarantees data is served without interruption.

Powerful database management & design tool for Win, Mac & Linux. With intuitive GUI, user manages MySQL, MariaDB, SQL Server, SQLite, Oracle & PostgreSQL DB easily.

Heroku Redis is an in-memory key-value data store, run by Heroku, that is provisioned and managed as an add-on. Heroku Redis is accessible from any language with a Redis driver, including all languages and frameworks supported by Heroku.

Redis drives the best sites on the web, from Twitter to Pinterest. RedisGreen makes it easy for anyone to use. Customers can spin up databases at the click of a button. RedisGreen's future is in very fast tools to make the most difficult aspects of modern web application development faster, cheaper, and less labor-intensive.<br>

Cloud Memorystore for Redis provides a fully managed in-memory data store service built on scalable, more secure, and highly available infrastructure managed by Google. Use Cloud Memorystore to build application caches that provides sub-millisecond data access. Cloud Memorystore is compatible with the Redis protocol, allowing easy migration with zero code changes.

It’s an easy-to-use, high-availability solution, which provides high system up-time, no data loss and scalability for future growth. You can Keep it up and running 24/7. Putting our expertise to use will help you avoid trial and error.

It provides Serverless Redis and Kafka as a service. With per request pricing, you pay only for what you use. You can use any Redis/Kafka clients. The built-in REST API enables use cases with serverless and edge functions.

Mysos is an Apache Mesos framework for running MySQL instances. It dramatically simplifies the management of a MySQL cluster.

It provides durable, serverless Redis storage. It has been designed to be fast, scalable, and secure, and it's a great choice for storing and retrieving key-value and JSON data in your apps.

It allows teams running business-critical MySQL applications to cost-effectively achieve continuous operations. You may deploy MySQL clusters on-premises, in the cloud, hybrid-cloud or multi-cloud.