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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.
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Learn MorePros of Google Cloud Memorystore
Pros of Heroku Redis
Pros of Google Cloud Memorystore
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Pros of Heroku Redis
- More reliable than the other Redis add-ons5
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Cons of Google Cloud Memorystore
Cons of Heroku Redis
Cons of Google Cloud Memorystore
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Cons of Heroku Redis
- More expensive than the other options1
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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 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.
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What companies use Google Cloud Memorystore?
What companies use Heroku Redis?
What companies use Google Cloud Memorystore?
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What tools integrate with Google Cloud Memorystore?
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What tools integrate with Google Cloud Memorystore?
What are some alternatives to Google Cloud Memorystore and Heroku Redis?
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