Google Cloud Memorystore vs Heroku Redis

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Google Cloud Memorystore
Google Cloud Memorystore

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Heroku Redis
Heroku Redis

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Google Cloud Memorystore vs Heroku Redis: What are the differences?

Google Cloud Memorystore: Fully managed Redis instances by Google. 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; Heroku Redis: Reliable and powerful Redis as a service. 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 Memorystore and Heroku Redis can be primarily classified as "Redis Hosting" tools.

According to the StackShare community, Heroku Redis has a broader approval, being mentioned in 12 company stacks & 15 developers stacks; compared to Google Cloud Memorystore, which is listed in 3 company stacks and 24 developer stacks.

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What is Google Cloud Memorystore?

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.

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.
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      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.
      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.
      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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      Tim Lucas uses Heroku RedisHeroku Redis

      Storage backend for background processing via Sidekiq

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