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  1. Stackups
  2. Application & Data
  3. Key-Value Stores
  4. Redis Hosting
  5. Heroku Redis vs Redis To Go

Heroku Redis vs Redis To Go

OverviewComparisonAlternatives

Overview

Redis To Go
Redis To Go
Stacks51
Followers119
Votes18
Heroku Redis
Heroku Redis
Stacks105
Followers163
Votes5

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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Detailed Comparison

Redis To Go
Redis To Go
Heroku Redis
Heroku Redis

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.

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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Easily Optimize;Vertically Scalable
Statistics
Stacks
51
Stacks
105
Followers
119
Followers
163
Votes
18
Votes
5
Pros & Cons
Pros
  • 5
    Heroku Add-on
  • 3
    Pub-Sub
  • 3
    Affordable
  • 3
    Always up
  • 3
    Easy setup
Pros
  • 5
    More reliable than the other Redis add-ons
Cons
  • 1
    More expensive than the other options
Integrations
Nodejitsu
Nodejitsu
Heroku
Heroku
Engine Yard Cloud
Engine Yard Cloud
AppHarbor
AppHarbor
Heroku
Heroku
Redis
Redis

What are some alternatives to Redis To Go, Heroku Redis?

Redis Cloud

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

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>

Google Cloud Memorystore

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.

Upstash

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

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.

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