Redis is primarily used for saving user sessions and data for different applications, particularly for read operations. It helps minimize API calls to the database and prevents bot-triggered dummy requests.
It significantly improves organizations by ensuring response times under one second, eliminating delays in user and customer-facing applications.
Redis enhances speed by caching data and utilizing the key-value method for storage, providing quick access to data.
Redis is an open-source solution. There are not any hidden fees.
Redis is not an overpriced solution.
Redis is an open-source solution. There are not any hidden fees.
Redis is not an overpriced solution.
Memorystore for Redis provides a fully managed in-memory data store service built on scalable, secure, and highly available infrastructure managed by Google. Use Memorystore to build application caches that provides sub-millisecond data access.
Azure Cache for Redis provides an in-memory data store based on the open-source software Redis. When used as a cache, Redis improves the performance and scalability of systems that rely heavily on backend data-stores. Performance is improved by copying frequently accessed data to fast storage located close to the application. With Azure Cache for Redis, this fast storage is located in-memory instead of being loaded from disk by a database.
Varnish technology channels the power of caching to deliver performance, scalability and reliability for fast and flexible web and API content delivery. With HTTP and the Varnish Configuration Language (VCL), Varnish Cloud offers caching solutions to deliver all types of content and gain full control over how you deliver, monitor and customize your delivery.
An IMDG (in-memory data grid) is a set of networked/clustered computers that pool together their random access memory (RAM) to let applications share data structures with other applications running in the cluster.
Databases for Redis gives two Redis instances—a master and a replica member—with Redis sentinels monitoring both. Accessing the database is managed through a single Kubernetes Nodeport, behind which one or more HAProxy instances handle all the traffic. It’s the HAProxy instances that manage to which we’ve added support for TLS/SSL encryption for incoming connections to the Redis server—something Redis doesn’t do out-of-the-box currently.
