Upstash provides serverless Redis and Kafka with pay-per-request pricing, making it a perfect fit for modern, event-driven applications. Unlike traditional Redis providers that require constant uptime billing, Upstash’s serverless model ensures cost efficiency. It integrates seamlessly with Vercel, Railway, and edge functions, making it an ideal choice for PullSense to handle caching and real-time workloads without worrying about infrastructure management.

Big thanks to Upstash for simplifying our data management at Muku.ai! With its serverless capabilities and blazing-fast performance, it ensures we stay ahead of the curve while scaling seamlessly.

Upstash is an absolute pleasure to work with. Shootmail uses their Redis for caching and Qstash to handle mail queueing with auto retries and error handling.

We use Upstash for our Redis cache, as well as their Qstash product for our cron/background jobs. Incredible DX, very scalable platform, 11/10 would recommend!

Simple to use serverless Redis

We rely on Upstash for our Redis cache and Qstash for background jobs and cron tasks. Incredible developer experience and scalability — couldn’t recommend it more!

Great serverless platform that was easy to use and deploy into our stack.

Powers some of the back end!

We use Qstash by Upstash as message queue and task scheduler for our serverless architecture.

Upstash is essential for our database needs, it's quite simple to integrate our workloads. We love it !

Upstash manages our rate limiting seamlessly, helping us provide a smooth experience without overwhelming our system.

We used the service of QStash to enqueue jobs that ended up calling next js endpoints this way we where able to manage retries and extract the design foundation on the backgroudn

We use Upstash for caching, rate limiting, and message queues. Upstash offers highly scalable and low-latency solutions, ensuring our applications run smoothly and efficiently while enhancing overall performance and user experience.

Upstash is by far the easiest redis & vector DB we could find which made it incredibly easy to implement rate limiting and vector search.