Microsoft Azure Redis Cache Isolated 3 year(s) 36 month(s)

Your app. Faster.
As traffic and demands on your app increase, scale performance simply and cost-effectively. Add a quick caching layer to the application architecture to handle thousands of simultaneous users with near-instant speed—all with the benefits of a fully managed service.

Superior throughput and performance to handle millions of requests per second with down to sub-millisecond latency

Fully managed service with automatic patching, updates, scaling, and provisioning so you can focus on development

RedisBloom, RediSearch, and RedisTimeSeries module integration, supporting data analysis, search, and streaming

Powerful capabilities including clustering, active geo-replication, Redis on Flash, and availability of up to 99.999 percent

Improve application throughput and latency
Use Azure Cache for Redis to accelerate your data layer through caching. Adding Azure Cache for Redis can increase data throughput by over 800 percent while increasing latency performance by over 1,000 percent1 at a cost-effective price. It’s a great way to efficiently scale applications and improve user experience without the expense of rearchitecting your underlying database.

Speed up applications with a distributed cache
Complement database services like Azure SQL Database and Azure Cosmos DB by enabling your data tier to scale throughput at a lower cost than through expanded database instances. Store and share database query results, session states, and static content by using a common cache-aside pattern, and make your application more nimble and scalable.

Efficiently store session data
Quickly save, retrieve, and update web session data, such as user cookies and output pages. Improve the performance of your application by increasing its responsiveness and enabling it to handle increasing loads with fewer web-compute resources. Take advantage of data persistence, and automatic data duplication for maximum user data reliability. Scale out to terabyte size using clustering to meet the needs of even the largest enterprises and synchronize session data globally with active geo-distribution.

Communicate between services as a message broker
Use Azure Cache for Redis as a solution for implementing publish/subscribe or queue architectures. Route real-time messages and scale up web communication frameworks such as SignalR. Use industry-standard TLS encryption for data in transit, and configure proper network isolation with Azure Private Link.