What is Amazon ElastiCache?
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.
Amazon ElastiCache is a tool in the Managed Memcache category of a tech stack.
Who uses Amazon ElastiCache?
596 companies reportedly use Amazon ElastiCache in their tech stacks, including Airbnb, Amazon, and Instacart.
651 developers on StackShare have stated that they use Amazon ElastiCache.
Amazon ElastiCache Integrations
SignalFx, Cloudcraft, Centreon, Eucalyptus, and Vantage are some of the popular tools that integrate with Amazon ElastiCache. Here's a list of all 6 tools that integrate with Amazon ElastiCache.
Pros of Amazon ElastiCache
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Decisions about Amazon ElastiCache
Here are some stack decisions, common use cases and reviews by companies and developers who chose Amazon ElastiCache in their tech stack.
Our base infrastructure is composed of Debian based servers running in Amazon EC2 , asset storage with Amazon S3 , and Amazon RDS for Aurora and Redis under Amazon ElastiCache for data storage.
We are starting to work in automated provisioning and management with Terraform.
Jan 18 2018 at 7:43AM
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Amazon ElastiCache's Features
- 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
Amazon ElastiCache Alternatives & Comparisons
What are some alternatives to Amazon ElastiCache?
See all alternatives
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.
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.
Azure Redis Cache
It perfectly complements Azure database services such as Cosmos DB. It provides a cost-effective solution to scale read and write throughput of your data tier. Store and share database query results, session states, static contents, and more using a common cache-aside pattern.
With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.