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Learn MorePros of Heroku Redis
Pros of Redis Cloud
Pros of Redis To Go
Pros of Heroku Redis
- More reliable than the other Redis add-ons5
Pros of Redis Cloud
- Heroku Addon9
Pros of Redis To Go
- Heroku Add-on5
- Pub-Sub3
- Always up3
- Easy setup3
- Affordable3
- Perfect full sync1
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Cons of Heroku Redis
Cons of Redis Cloud
Cons of Redis To Go
Cons of Heroku Redis
- More expensive than the other options1
Cons of Redis Cloud
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Cons of Redis To Go
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What is 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.
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.
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What companies use Heroku Redis?
What companies use Redis Cloud?
What companies use Redis To Go?
What companies use Redis Cloud?
What companies use Redis To Go?
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What tools integrate with Heroku Redis?
What tools integrate with Redis Cloud?
What tools integrate with Redis To Go?
What tools integrate with Redis Cloud?
What tools integrate with Redis To Go?
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What are some alternatives to Heroku Redis, Redis Cloud, and Redis To Go?
Firebase
Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.
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.
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.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.