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Amazon ElastiCache

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Amazon ElastiCache vs Redis: What are the differences?

Amazon ElastiCache and Redis are both widely used caching solutions in the field of cloud computing. Let's explore the key differences between the two:

  1. Managed Service vs. Open-Source Technology: Amazon ElastiCache is a fully managed service provided by Amazon Web Services (AWS), taking care of maintenance, patching, and scaling for you. On the other hand, Redis is an open-source technology that requires self-management, including installation, updates, and server configuration.

  2. Multi-AZ Availability: Amazon ElastiCache offers availability in multiple Availability Zones (AZs), providing built-in redundancy and ensuring high availability in case of a single AZ failure. Redis, on the other hand, does not provide built-in multi-AZ support. To achieve high availability, you need to implement your own clustering and replication mechanisms.

  3. Data Persistence: Amazon ElastiCache allows you to choose between two storage options: Redis, which provides both in-memory and disk-based persistence, and Memcached, which only offers in-memory caching. In contrast, Redis as a standalone technology provides more advanced data persistence features, such as point-in-time snapshots and append-only files, ensuring durability even in case of service restarts or failures.

  4. Data Model and Advanced Features: Redis supports a wide range of data types, including strings, lists, sets, sorted sets, and hashes. It also provides powerful commands and features such as transactions, pub/sub messaging, Lua scripting, and support for geospatial indexes. Amazon ElastiCache also supports these data types and features, making it suitable for applications that require the advanced capabilities of Redis.

  5. Integration with AWS Ecosystem: Amazon ElastiCache seamlessly integrates with other AWS services, such as Amazon EC2, AWS Lambda, and Amazon CloudWatch, allowing you to leverage the full power of the AWS ecosystem. Redis, being an open-source technology, can also be integrated with AWS services, but it requires manual configuration and setup.

  6. Pricing and Cost: Amazon ElastiCache pricing includes costs for infrastructure, maintenance, and support, which can add up depending on the size of your cache cluster. Redis, being an open-source technology, is free to use but requires you to manage the infrastructure yourself. This means that you need to consider the costs of server provisioning, maintenance, and scalability when using Redis in a self-managed environment.

In summary, Amazon ElastiCache provides a fully managed service with built-in multi-AZ support, while Redis offers more advanced data persistence features and a wider range of data types. ElastiCache integrates seamlessly with the AWS ecosystem, whereas Redis requires manual configuration.

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Pros of Amazon ElastiCache
Pros of Redis
  • 58
    Redis
  • 32
    High-performance
  • 26
    Backed by amazon
  • 21
    Memcached
  • 14
    Elastic
  • 886
    Performance
  • 542
    Super fast
  • 513
    Ease of use
  • 444
    In-memory cache
  • 324
    Advanced key-value cache
  • 194
    Open source
  • 182
    Easy to deploy
  • 164
    Stable
  • 155
    Free
  • 121
    Fast
  • 42
    High-Performance
  • 40
    High Availability
  • 35
    Data Structures
  • 32
    Very Scalable
  • 24
    Replication
  • 22
    Great community
  • 22
    Pub/Sub
  • 19
    "NoSQL" key-value data store
  • 16
    Hashes
  • 13
    Sets
  • 11
    Sorted Sets
  • 10
    NoSQL
  • 10
    Lists
  • 9
    Async replication
  • 9
    BSD licensed
  • 8
    Bitmaps
  • 8
    Integrates super easy with Sidekiq for Rails background
  • 7
    Keys with a limited time-to-live
  • 7
    Open Source
  • 6
    Lua scripting
  • 6
    Strings
  • 5
    Awesomeness for Free
  • 5
    Hyperloglogs
  • 4
    Transactions
  • 4
    Outstanding performance
  • 4
    Runs server side LUA
  • 4
    LRU eviction of keys
  • 4
    Feature Rich
  • 4
    Written in ANSI C
  • 4
    Networked
  • 3
    Data structure server
  • 3
    Performance & ease of use
  • 2
    Dont save data if no subscribers are found
  • 2
    Automatic failover
  • 2
    Easy to use
  • 2
    Temporarily kept on disk
  • 2
    Scalable
  • 2
    Existing Laravel Integration
  • 2
    Channels concept
  • 2
    Object [key/value] size each 500 MB
  • 2
    Simple

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Cons of Amazon ElastiCache
Cons of Redis
    Be the first to leave a con
    • 15
      Cannot query objects directly
    • 3
      No secondary indexes for non-numeric data types
    • 1
      No WAL

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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?

    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.

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    What tools integrate with Amazon ElastiCache?
    What tools integrate with Redis?

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    What are some alternatives to Amazon ElastiCache and Redis?
    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.
    Amazon SQS
    Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.
    See all alternatives