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Upstash

Freemium
upstash.com

Serverless Redis and Kafka with pay-per-request pricing.

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Added on December 30, 2025← Back to all tools

What does this tool do?

Upstash is a serverless data platform that offers managed Redis, vector storage, message queuing (QStash), and search capabilities, specifically designed for modern cloud and edge computing environments. Their platform eliminates traditional infrastructure management by providing globally distributed, low-latency data services with pay-per-request pricing. Unlike traditional databases, Upstash focuses on simplifying data storage and retrieval for developers by offering HTTP/REST APIs, automatic scaling, and seamless integration with serverless and edge computing platforms like Vercel and Cloudflare.

AI analysis from Feb 17, 2026

Key Features

  • Serverless Redis with HTTP/REST API support
  • Global multi-region data replication
  • Automatic backups and data persistence
  • Vector database for AI and machine learning
  • Message queuing and workflow management via QStash
  • Edge-optimized SDKs for multiple programming languages

Use Cases

  • 1Real-time application caching
  • 2Session management for web and mobile applications
  • 3Rate limiting and request throttling
  • 4Leaderboard and ranking systems for games
  • 5Vector-based AI embeddings and semantic search

Pros & Cons

Advantages

  • 99.99% uptime guarantee with global low-latency infrastructure
  • Zero server management and automatic scaling
  • Flexible pay-per-request pricing model with free tier

Limitations

  • Potential vendor lock-in with proprietary serverless architecture
  • Learning curve for developers new to serverless data platforms
  • Limited advanced configuration compared to self-managed Redis

Pricing Details

Free tier available with pay-per-request pricing. Specific request and storage costs scale dynamically, with a $0.02 example shown for 12,004 requests and 420KB storage.

Who is this for?

Developers and engineering teams building modern, scalable web applications, particularly those using serverless, edge computing, or AI-powered platforms

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