Google Cloud Memorystore vs Redis To Go

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Google Cloud Memorystore

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Redis To Go

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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?
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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?
    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.
    Amazon S3
    Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
    See all alternatives