What is 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.
Azure Redis Cache is a tool in the In-Memory Databases category of a tech stack.
Who uses Azure Redis Cache?
Companies
21 companies reportedly use Azure Redis Cache in their tech stacks, including Core Banking, Platform Development Team, and pracuj.pl.
Developers
36 developers on StackShare have stated that they use Azure Redis Cache.
Azure Redis Cache Integrations
Pros of Azure Redis Cache
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Azure Redis Cache's Features
- Enterprise-grade security
- Flexible scaling
- Improve application throughput and latency
- Speed up applications with a distributed cache
Azure Redis Cache Alternatives & Comparisons
What are some alternatives to Azure Redis Cache?
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.
Azure CDN
It lets you reduce load times, save bandwidth, and speed responsiveness—whether you’re developing or managing websites or mobile apps, or encoding and distributing streaming media, gaming software, firmware updates, or IoT endpoints.
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.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
