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  1. Stackups
  2. Utilities
  3. Caching
  4. Managed Memcache
  5. Amazon ElastiCache vs Azure Redis Cache

Amazon ElastiCache vs Azure Redis Cache

OverviewComparisonAlternatives

Overview

Amazon ElastiCache
Amazon ElastiCache
Stacks1.3K
Followers1.0K
Votes151
Azure Redis Cache
Azure Redis Cache
Stacks58
Followers124
Votes7

Amazon ElastiCache vs Azure Redis Cache: What are the differences?

Introduction

Amazon ElastiCache and Azure Redis Cache are two popular distributed in-memory caching services offered by AWS and Microsoft Azure respectively.

  1. Managed Service: Amazon ElastiCache is a fully managed service provided by Amazon Web Services (AWS) that provides scalable and high-performance caching capability using popular open-source caching engines like Redis and Memcached. On the other hand, Azure Redis Cache is also a fully managed service offered by Microsoft Azure that provides a managed implementation of the popular Redis caching engine.

  2. Availability: Amazon ElastiCache is available in multiple regions across the globe, allowing users to deploy their cache clusters closer to their application instances. Whereas, Azure Redis Cache is also available in multiple regions globally, allowing users to distribute their caches geographically.

  3. Pricing Model: Amazon ElastiCache pricing is based on the instance type and size of the cache cluster, along with additional charges for data transfer and storage. On the contrary, Azure Redis Cache pricing is based on the cache size and the number of connections, with additional charges for data transfer and storage.

  4. Integration: Amazon ElastiCache is tightly integrated with other AWS services like AWS Identity and Access Management (IAM), AWS CloudFormation, AWS CloudTrail, etc., providing seamless integration and easier management within the AWS ecosystem. Whereas, Azure Redis Cache is tightly integrated with other Azure services like Azure Active Directory, Azure Monitor, Azure Direct Route, etc., ensuring seamless integration and management within the Azure ecosystem.

  5. Security Features: Amazon ElastiCache provides various security features like in-transit and at-rest encryption, support for Virtual Private Cloud (VPC) security groups, and integration with AWS Identity and Access Management (IAM) for fine-grained access control. On the other hand, Azure Redis Cache also offers in-transit and at-rest encryption, support for Azure Virtual Network (VNet) integration, and Azure Active Directory integration for access control.

  6. Performance Optimization: Amazon ElastiCache provides features like automatic scalability, read replicas, backup and restore, and multi-AZ replication for high availability, ensuring optimal performance and reliability for caching workloads. Similarly, Azure Redis Cache offers features like scaling up/down, read replicas, and persistence options for data durability to optimize performance and ensure high availability.

In Summary, Amazon ElastiCache and Azure Redis Cache are both fully managed caching services offered by AWS and Azure respectively. ElastiCache has tighter integration with AWS services, provides fine-grained access control with IAM, and offers multi-AZ replication for high availability. Azure Redis Cache offers tighter integration with Azure services, provides access control with Azure Active Directory, and offers persistence options for data durability.

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Detailed Comparison

Amazon ElastiCache
Amazon ElastiCache
Azure Redis Cache
Azure Redis Cache

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.

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.

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
Enterprise-grade security; Flexible scaling; Improve application throughput and latency; Speed up applications with a distributed cache
Statistics
Stacks
1.3K
Stacks
58
Followers
1.0K
Followers
124
Votes
151
Votes
7
Pros & Cons
Pros
  • 58
    Redis
  • 32
    High-performance
  • 26
    Backed by amazon
  • 21
    Memcached
  • 14
    Elastic
Pros
  • 4
    Cache-cluster
  • 3
    Redis
Integrations
No integrations available
Spring Boot
Spring Boot
Java
Java

What are some alternatives to Amazon ElastiCache, Azure Redis Cache?

Redis

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.

Hazelcast

Hazelcast

With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.

Aerospike

Aerospike

Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.

MemSQL

MemSQL

MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.

Apache Ignite

Apache Ignite

It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale

MemCachier

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.

SAP HANA

SAP HANA

It is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows it to process data stored in RAM as opposed to reading it from a disk.

Memcached Cloud

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.

VoltDB

VoltDB

VoltDB is a fundamental redesign of the RDBMS that provides unparalleled performance and scalability on bare-metal, virtualized and cloud infrastructures. VoltDB is a modern in-memory architecture that supports both SQL + Java with data durability and fault tolerance.

Tarantool

Tarantool

It is designed to give you the flexibility, scalability, and performance that you want, as well as the reliability and manageability that you need in mission-critical applications

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