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Azure Redis Cache vs Redis: What are the differences?
Azure Redis Cache and Redis are both in-memory data stores. Let's explore the key differences between the two.
Scalability: One major difference between Azure Redis Cache and Redis is the scalability. Azure Redis Cache provides the ability to scale up and down based on demand without any downtime. It offers different pricing tiers with varying sizes of cache instances. On the other hand, Redis is a self-managed solution, and the scalability depends on the infrastructure it is deployed on. Users need to manually manage and scale Redis clusters to meet their requirements.
Managed Service: Azure Redis Cache is a managed service provided by Microsoft. This means that Microsoft takes care of the infrastructure, updates, backups, and monitoring of the cache. Users can focus on using the cache without worrying about the underlying infrastructure. Redis, on the other hand, is an open-source solution that needs to be managed by the users themselves. Users are responsible for setting up the infrastructure, managing updates, backups, and monitoring of the Redis instances.
Integration with Azure services: Azure Redis Cache seamlessly integrates with various Azure services like Azure Functions, Azure App Service, and Azure Logic Apps. This allows developers to easily incorporate caching in their applications and leverage other Azure services for building scalable and performant applications. Redis, being a standalone solution, does not have such direct integrations with Azure services and requires custom integration efforts.
Security and Compliance: Azure Redis Cache provides built-in security features like SSL/TLS encryption, authentication, and access control policies. It also complies with various certifications and regulations like ISO, SOC, and HIPAA. Redis, being a self-managed solution, relies on the user's implementation for security measures. Users are responsible for implementing encryption, access control, and compliance measures as per their requirements.
Monitoring and Metrics: Azure Redis Cache provides comprehensive monitoring and metrics through Azure Monitor. Users can easily monitor cache performance, get insights, and set up alerts. Redis, on the other hand, requires users to set up their own monitoring and metrics solutions. Users need to configure tools like Prometheus or Grafana to monitor and gather metrics from Redis instances.
Pricing Model: Azure Redis Cache offers a pay-as-you-go pricing model based on cache size and performance tier. Users can choose the appropriate pricing tier based on their requirements and only pay for the resources they consume. Redis, being an open-source solution, does not have any specific pricing. Users can deploy Redis on their preferred infrastructure and need to manage the costs associated with the infrastructure, maintenance, and support.
In summary, Azure Redis Cache is a managed service provided by Microsoft, offering scalability, integration with Azure services, built-in security and compliance features, monitoring and metrics through Azure Monitor, and a pay-as-you-go pricing model. Redis, on the other hand, is a self-managed solution with users needing to manage scalability, infrastructure, security, monitoring, and pricing on their own.
Pros of Azure Redis Cache
- Cache-cluster4
- Redis3
Pros of Redis
- Performance886
- Super fast542
- Ease of use513
- In-memory cache444
- Advanced key-value cache324
- Open source194
- Easy to deploy182
- Stable164
- Free155
- Fast121
- High-Performance42
- High Availability40
- Data Structures35
- Very Scalable32
- Replication24
- Great community22
- Pub/Sub22
- "NoSQL" key-value data store19
- Hashes16
- Sets13
- Sorted Sets11
- NoSQL10
- Lists10
- Async replication9
- BSD licensed9
- Bitmaps8
- Integrates super easy with Sidekiq for Rails background8
- Keys with a limited time-to-live7
- Open Source7
- Lua scripting6
- Strings6
- Awesomeness for Free5
- Hyperloglogs5
- Transactions4
- Outstanding performance4
- Runs server side LUA4
- LRU eviction of keys4
- Feature Rich4
- Written in ANSI C4
- Networked4
- Data structure server3
- Performance & ease of use3
- Dont save data if no subscribers are found2
- Automatic failover2
- Easy to use2
- Temporarily kept on disk2
- Scalable2
- Existing Laravel Integration2
- Channels concept2
- Object [key/value] size each 500 MB2
- Simple2
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Cons of Azure Redis Cache
Cons of Redis
- Cannot query objects directly15
- No secondary indexes for non-numeric data types3
- No WAL1