Upstash
Serverless Redis, Kafka, and QStash for modern applications
About Upstash
Upstash provides serverless Redis, Kafka, and QStash (message queue) designed specifically for serverless and edge computing environments. Their serverless Redis is the standout product: it offers a Redis-compatible API with a unique per-request pricing model, meaning you pay only when your application actually uses the database. This eliminates the cost of idle connections that traditional Redis hosting requires. Upstash Redis works everywhere with a REST API that functions in edge runtimes (Cloudflare Workers, Vercel Edge Functions, Deno Deploy) where TCP connections are not available. It includes global replication for multi-region low-latency access, automatic encryption, and durable storage. Beyond basic caching, Upstash Redis powers rate limiting (with their @upstash/ratelimit library), session storage, leaderboards, and real-time features. Upstash Kafka provides serverless event streaming with a REST API, perfect for building event-driven architectures without managing Kafka clusters. QStash is an HTTP-based message queue and scheduler that works seamlessly with serverless functions for background jobs, scheduled tasks, and webhook delivery with automatic retries. The free tier includes 10,000 commands per day for Redis, making it perfect for side projects and development.
Key Features
- Serverless Redis with per-request pricing
- Serverless Kafka for event streaming
- QStash for serverless message queues
- Global replication for low latency
- REST API for edge compatibility
- Built-in rate limiting
- Integrations with Vercel, Cloudflare, and AWS
Pros & Cons
What we like
- True serverless with pay-per-request pricing
- Works perfectly with edge and serverless platforms
- Free tier is generous for small projects
- Redis protocol compatible
- Simple setup with no infrastructure to manage
Room for improvement
- Per-request pricing can be unpredictable at high volume
- Maximum database size limits on lower plans
- Not suitable for large persistent datasets
- Latency is higher than self-hosted Redis for co-located services
Best For
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