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Google Cloud Memorystore vs Redis To Go

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Google Cloud Memorystore
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148
+ 1
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Redis To Go
51
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+ 1
18
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Google Cloud Memorystore vs Redis To Go: What are the differences?

Developers describe Google Cloud Memorystore as "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. On the other hand, Redis To Go is detailed as "Simple Redis hosting". 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.

Google Cloud Memorystore and Redis To Go belong to "Redis Hosting" category of the tech stack.

8villages, Oh BiBi, and HOA Express are some of the popular companies that use Google Cloud Memorystore, whereas Redis To Go is used by Glu IO, Ahkio, and Blloon. Google Cloud Memorystore has a broader approval, being mentioned in 3 company stacks & 24 developers stacks; compared to Redis To Go, which is listed in 9 company stacks and 4 developer stacks.

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Pros of Google Cloud Memorystore
Pros of Redis To Go
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    • 5
      Heroku Add-on
    • 3
      Pub-Sub
    • 3
      Always up
    • 3
      Easy setup
    • 3
      Affordable
    • 1
      Perfect full sync

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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 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.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Google Cloud Memorystore?
    What companies use Redis To Go?
    See which teams inside your own company are using Google Cloud Memorystore or Redis To Go.
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    What tools integrate with Google Cloud Memorystore?
    What tools integrate with Redis To Go?
    What are some alternatives to Google Cloud Memorystore and Redis To Go?
    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.
    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.
    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>
    Upstash
    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.
    Vercel KV
    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.
    See all alternatives

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