Redis
Build AI apps with more speed, memory, and accuracy.
Serverless Redis and Kafka as a service with per request pricing. Use any Redis/Kafka clients. The built-in REST API enables use cases with serverless and edge functions.
Reviews for Redis
Hear what real users highlight about this tool.
Makers consistently praise Redis for speed, reliability, and straightforward integration. The makers of Medusa highlight seamless caching for commerce events. The makers of Skarbe report real-time caching that accelerates integrations and frequent data access. The makers of Amploo commend versatile data structures for caching, queues, and sessions. Broader user feedback echoes ultra-fast, in-memory performance, easy cloud/on‑prem use, and strong fit as a key‑value cache. Common themes: snappy reads/writes, reduced database load, dependable queuing support, and simple adoption at scale.
This AI-generated snapshot distills top reviewer sentiments.
Big thanks to Redis for supercharging our app’s performance. We use Redis to cache profile images, which means faster load times and a smoother experience for scouts and players finding the right club.
Works fine for caching and queuing.
Any time you need caching or some kind of key-value store, Redis is a no-brainer imo
Good for async task management
Redis handles caching and rate-limiting with lightning speed, keeping our API responses under 500ms and reducing OpenAI request costs.
Powers our high-performance job queue for processing thousands of translations.
In case you want fast!
If Xentree feels fast, you can thank Redis. I use it for everything from caching sessions to managing our background job queue for AI processing. Its in-memory speed is simply unmatched, allowing us to offload heavy reads from our primary database and deliver a snappy, instantaneous user experience.
Redis with Bull gave us queue management that just works. It powers optimizations like async job handling. Alternatives were heavier — this combo was lightweight and perfect for scale.
Chosen over Memcached or SQL caching because it’s fast, reliable, and supports advanced data structures for AI workflows.
Super-fast caching made test results and feedback load instantly, giving a better experience than relying only on databases.
Provides lightning-fast access to frequently used data, ensuring real-time performance across Cartify. Its speed boosts our checkout, detection, and analytics systems, enabling instant responses and smooth operations in supermarkets.
We use Redis to power the backend of giveinterview.com. Its speed and in-memory data handling allow our AI interview system to process candidate responses and recruiter dashboards in real-time.