Amazon ElastiCache vs Redis Cloud

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Amazon ElastiCache vs Redis Cloud: What are the differences?

Introduction

Amazon ElastiCache and Redis Cloud are both popular cloud-based caching solutions that offer a high-performance, scalable, and reliable caching service. However, there are key differences between the two that should be considered when choosing a caching solution for your specific needs.

  1. Pricing model: Amazon ElastiCache offers a pay-as-you-go pricing model, where you pay for the resources you use on an hourly basis. On the other hand, Redis Cloud offers a fixed pricing model based on different plans with a pre-defined amount of storage and memory.

  2. Managed service: Amazon ElastiCache is a fully managed service provided by Amazon Web Services (AWS), which means AWS takes care of the underlying infrastructure, automatic software patching, and data backups. Redis Cloud, on the other hand, is also a managed service but is provided by Redis Labs, a separate company specializing in Redis solutions.

  3. Multi-cloud support: Redis Cloud offers the flexibility to deploy your Redis instances across multiple cloud providers, such as AWS, Google Cloud Platform (GCP), and Microsoft Azure. This allows you to avoid vendor lock-in and choose the cloud provider that best suits your needs. Amazon ElastiCache, on the other hand, is limited to the AWS ecosystem and does not provide multi-cloud support.

  4. Integration with other AWS services: As a part of the AWS ecosystem, Amazon ElastiCache seamlessly integrates with other AWS services, such as Amazon EC2, Amazon RDS, and Amazon VPC. This enables you to easily incorporate caching into your existing AWS infrastructure. Redis Cloud, although not limited to AWS, still offers integrations with various other platforms and frameworks.

  5. Advanced caching features: Redis Cloud offers additional caching features like Redis on Flash, which allows you to have larger datasets that don't fit entirely in memory by utilizing disk storage. It also provides Redis Streams, which enables you to build real-time streaming applications using Redis. Amazon ElastiCache, while offering advanced caching capabilities, does not provide these specific features.

  6. Global data replication: Redis Cloud offers an advanced feature called Redis Enterprise which provides active-active replication across multiple regions, ensuring low-latency access to your data globally. This is useful in scenarios where you have a distributed user base or need high availability across geographically diverse locations. Amazon ElastiCache, on the other hand, does not provide this level of global data replication.

In summary, Amazon ElastiCache is a managed caching service offered by AWS with integration into their ecosystem, while Redis Cloud is a managed Redis service provided by Redis Labs with multi-cloud support and additional advanced caching features. Both services have their advantages and choosing the right one depends on your specific requirements and preferences.

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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.

What is 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.

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What companies use Amazon ElastiCache?
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What are some alternatives to Amazon ElastiCache and Redis Cloud?
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.
Elasticsearch
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
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.
Amazon DynamoDB
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.
See all alternatives