ElastiCache is not a database in the traditional sense, but rather a web service that provides managed in-memory caching for your applications. It is often used to improve the performance and scalability of applications by reducing the load on backend databases.
ElastiCache supports two popular open-source in-memory data stores: Redis and Memcached. These are both in-memory key-value stores that can be used as caches or as primary data stores. ElastiCache manages the deployment and scaling of Redis and Memcached clusters, making it easy to add or remove nodes as needed.
While ElastiCache does not provide full-fledged database features like persistent storage, complex queries, or data indexing, it does provide some useful features for managing cached data. For example, ElastiCache can automatically detect and replace failed nodes, perform backups and restores, and configure automatic failover in case of a node failure.
Here's an example of how to create a Redis cluster using the AWS CLI:
$ aws elasticache create-cache-cluster \ --cache-cluster-id my-redis-cluster \ --engine redis \ --cache-node-type cache.t2.micro \ --num-cache-nodes 2
This creates a Redis cluster with two cache nodes of type
cache.t2.micro. Once the cluster is created, you can connect to it from your application using the appropriate Redis client library and start storing and retrieving data.
In summary, ElastiCache is not a traditional database, but rather a managed in-memory caching service that can be used to improve application performance and scalability. It supports both Redis and Memcached as in-memory data stores and provides useful features for managing cached data.
Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement.