Amazon ElastiCache vs Heroku Redis
Overview
Share your Stack
Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.
CLI (Node.js)
Manual
Detailed Comparison
ElastiCache improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory caches, instead of relying entirely on slower disk-based databases. ElastiCache supports Memcached and 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. |
Support for two engines: Memcached and Redis;Ease of management via the AWS Management Console. With a few clicks you can configure and launch instances for the engine you wish to use.;Compatibility with the specific engine protocol. This means most of the client libraries will work with the respective engines they were built for - no additional changes or tweaking required.;Detailed monitoring statistics for the engine nodes at no extra cost via Amazon CloudWatch;Pay only for the resources you consume based on node hours used | Easily Optimize;Vertically Scalable |
Statistics | |
Stacks 1.3K | Stacks 105 |
Followers 1.0K | Followers 163 |
Votes 151 | Votes 5 |
Pros & Cons | |
Pros
| Pros
Cons
|
Integrations | |
| No integrations available | |
What are some alternatives to Amazon ElastiCache, Heroku Redis?
MemCachier
MemCachier provides an easy and powerful managed caching solution for all your performance and scalability needs. It works with the ubiquitous memcache protocol so your favourite language and framework already supports it.
Memcached Cloud
Memcached Cloud is a fully-managed service for running your Memcached in a reliable and fail-safe manner. Your dataset is constantly replicated, so if a node fails, an auto-switchover mechanism guarantees data is served without interruption. Memcached Cloud provides various data persistence options as well as remote backups for disaster recovery purposes.
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.
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
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
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
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
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.
