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Learn MorePros of Redis Cloud
Pros of Redis To Go
Pros of RedisGreen
Pros of Redis Cloud
- Heroku Addon9
Pros of Redis To Go
- Heroku Add-on5
- Pub-Sub3
- Always up3
- Easy setup3
- Affordable3
- Perfect full sync1
Pros of RedisGreen
- Heroku Add-on1
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What is Redis Cloud?
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.
What is Redis To Go?
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.
What is RedisGreen?
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>
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What companies use Redis Cloud?
What companies use Redis To Go?
What companies use RedisGreen?
What companies use Redis Cloud?
What companies use Redis To Go?
What companies use RedisGreen?
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What tools integrate with Redis Cloud?
What tools integrate with Redis To Go?
What tools integrate with RedisGreen?
What tools integrate with Redis Cloud?
What tools integrate with Redis To Go?
What tools integrate with RedisGreen?
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What are some alternatives to Redis Cloud, Redis To Go, and RedisGreen?
Heroku Redis
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.
Google Cloud Datastore
Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.