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Heroku Redis

105
163
+ 1
5
Redis To Go

51
119
+ 1
18
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Heroku Redis vs Redis To Go: What are the differences?

Key Differences between Heroku Redis and Redis To Go

Heroku Redis and Redis To Go are two popular cloud-based managed Redis services that offer various features and capabilities. While both services provide similar functionality, there are several crucial differences between them.

  1. Deployment Process: In the case of Heroku Redis, it is tightly integrated with the Heroku platform and can be easily provisioned and managed within the Heroku ecosystem. On the other hand, Redis To Go is a standalone service that can be used with any cloud hosting provider or even on-premises.

  2. Pricing Model: Heroku Redis follows a pay-as-you-go pricing model, where you are billed based on usage metrics such as memory, connections, and data transfer. In contrast, Redis To Go offers fixed plans with specific memory and connection limits, with separate pricing for each plan.

  3. Scalability: Heroku Redis allows you to scale your Redis instance vertically by adding more memory to your existing instance. Redis To Go, on the other hand, provides horizontal scalability by allowing you to add additional read replicas to distribute the load.

  4. Data Persistence: Heroku Redis offers persistent storage by default, ensuring that your data is retained even if the instance restarts. Redis To Go offers optional data persistence through supported Redis configuration settings.

  5. Integration with Other Services: Heroku Redis seamlessly integrates with other Heroku platform services, such as Heroku Postgres, making it easier to build end-to-end applications. Redis To Go, being a standalone service, provides integrations with other cloud platforms and databases as well.

  6. Advanced Features: While both services offer essential Redis functionalities, Heroku Redis provides some advanced features like logs, metrics, and seamless integration with Heroku add-ons ecosystem. Redis To Go focuses more on simplicity and ease of use, providing a straightforward setup without additional complex features.

In summary, Heroku Redis and Redis To Go differ in terms of their deployment process, pricing model, scalability options, data persistence, integrations, and advanced features. It is essential to consider these differences while choosing a managed Redis service based on your specific needs and requirements.

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Pros of Heroku Redis
Pros of Redis To Go
  • 5
    More reliable than the other Redis add-ons
  • 5
    Heroku Add-on
  • 3
    Pub-Sub
  • 3
    Always up
  • 3
    Easy setup
  • 3
    Affordable
  • 1
    Perfect full sync

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Cons of Heroku Redis
Cons of Redis To Go
  • 1
    More expensive than the other options
    Be the first to leave a con

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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 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 To Go?
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    What tools integrate with Heroku Redis?
    What tools integrate with Redis To Go?
    What are some alternatives to Heroku Redis and Redis To Go?
    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.
    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.
    See all alternatives