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

# Key Differences between Google Cloud Memorystore and Heroku Redis

Google Cloud Memorystore and Heroku Redis are both cloud-based managed Redis services, but there are some key differences between the two platforms.

1. **Performance Levels**: Google Cloud Memorystore offers different performance tiers, ranging from basic to high-performance instances, allowing users to select the level that best suits their needs. Heroku Redis, on the other hand, provides a single performance level without the option to scale performance.

2. **Pricing Structure**: Google Cloud Memorystore charges users based on the size and performance level of the Redis instance, along with any additional storage costs. Heroku Redis, however, charges a flat rate based on the amount of data stored, with no distinction between performance levels.

3. **Availability Zones**: Google Cloud Memorystore allows users to deploy their Redis instances across multiple availability zones for increased availability and fault tolerance. Heroku Redis does not provide the option to deploy instances in multiple availability zones.

4. **Data Persistence**: Google Cloud Memorystore offers data persistence options, such as backup and recovery features. Heroku Redis, on the other hand, does not provide built-in data persistence mechanisms and relies on users to implement their own backup solutions.

5. **Support and Documentation**: Google Cloud Memorystore is backed by Google Cloud Platform's extensive support and documentation resources, providing users with access to a wealth of knowledge and assistance. Heroku Redis also offers support, but the resources may not be as extensive as Google Cloud Platform's.

In Summary, Google Cloud Memorystore and Heroku Redis differ in performance levels, pricing structure, availability zones, data persistence options, and support and documentation.