Convex vs Redis Comparison: Reviews, Features, Pricing & Alternatives in 2026

Detailed side-by-side comparison to help you choose the right solution for your team

Updated Apr 2026 8 min read

Convex

0.0 (0 reviews)

Convex is a full-stack TypeScript development platform that replaces your traditional database, server-side functions, and caching layers with a unified, real-time backend-as-a-service to accelerate application building.

Starting at Free
Free Trial NO FREE TRIAL
VS

Redis

0.0 (0 reviews)

Redis is an open-source, in-memory data store used as a high-performance database, cache, message broker, and streaming engine to power real-time applications with sub-millisecond latency.

Starting at Free
Free Trial 14 days

Quick Comparison

Feature Convex Redis
Website convex.dev redis.io
Pricing Model Freemium Freemium
Starting Price Free Free
FREE Trial ✘ No free trial ✓ 14 days free trial
Free Plan ✓ Has free plan ✓ Has free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment saas cloud on-premise desktop
Integrations GitHub Netlify Vercel Clerk Auth0 Stripe Sentry Figma AWS Google Cloud Microsoft Azure Docker Kubernetes Prometheus Grafana Python Node.js Java
Target Users solopreneur small-business mid-market small-business mid-market enterprise
Target Industries
Customer Count 0 0
Founded Year 2021 2011
Headquarters San Francisco, USA Mountain View, USA

Overview

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Convex

Convex provides you with a complete backend for your web applications, eliminating the need to manage separate databases, middleware, or complex state management. You can write your entire backend in TypeScript, using familiar syntax to define schemas, functions, and data mutations. It automatically handles data persistence, real-time synchronization, and server-side logic execution without you ever touching infrastructure or worrying about scaling.

You can build reactive applications where your UI stays perfectly in sync with your data automatically. It solves the common headache of 'glue code' by providing a unified environment where your frontend and backend share types and logic seamlessly. Whether you are building a collaborative document editor or a complex SaaS dashboard, you get a production-ready environment that scales from your first prototype to millions of users.

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Redis

Redis helps you build lightning-fast applications by storing data in-memory rather than on traditional disks. You can use it as a primary database, a high-speed cache to offload your main database, or a message broker for real-time communication between services. It supports diverse data structures like strings, hashes, lists, and sets, giving you the flexibility to handle complex data requirements without sacrificing speed.

You can deploy it as an open-source solution or choose the managed Redis Cloud service to handle scaling and availability automatically. Whether you are building a real-time leaderboard, a session store, or a high-traffic e-commerce site, it provides the low-latency performance your users expect. The platform scales effortlessly from small development projects to massive enterprise deployments requiring millions of operations per second.

Overview

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Convex Features

  • Real-time Subscriptions Keep your UI in sync automatically with built-in data subscriptions that push updates to your frontend instantly.
  • ACID Transactions Ensure your data remains consistent with fully transactional functions that prevent partial updates or corrupted states.
  • TypeScript Integration Share types between your frontend and backend to catch errors early and enjoy full autocomplete across your stack.
  • Scheduled Functions Run background jobs and delayed tasks directly within your backend without setting up external cron services.
  • File Storage Upload and serve large files like images or videos using integrated storage that links directly to your database.
  • Vector Search Build AI-powered features easily with native vector search capabilities for semantic queries and RAG-based applications.
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Redis Features

  • In-Memory Data Store. Store your data entirely in RAM to achieve sub-millisecond response times for your most demanding applications.
  • Versatile Data Structures. Use native support for lists, sets, sorted sets, and hashes to map your application data naturally.
  • Built-in Replication. Configure primary-replica setups to ensure your data remains available and scales across multiple nodes easily.
  • Redis Pub/Sub. Build real-time chat apps and notification systems using high-performance messaging patterns between your services.
  • Data Persistence. Balance performance and safety by choosing between point-in-time snapshots or append-only files for disk backups.
  • Redis Stack Modules. Extend your database capabilities with integrated search, document mapping, and graph processing in a single tool.

Pricing Comparison

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Convex Pricing

Free
$0
  • 1 GB database storage
  • 10 GB file storage
  • 1 million monthly function calls
  • Community support
  • Real-time data sync
R

Redis Pricing

Fixed (Essentials)
$0
  • Up to 30MB storage
  • 30 concurrent connections
  • Basic database monitoring
  • Community support
  • Single zone deployment

Pros & Cons

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Convex

Pros

  • Eliminates the need for complex state management libraries
  • Exceptional developer experience with end-to-end TypeScript safety
  • Automatic scaling handles traffic spikes without manual intervention
  • Unified backend reduces the amount of boilerplate code required

Cons

  • Requires commitment to the Convex ecosystem and architecture
  • Limited to JavaScript and TypeScript for backend logic
  • No local-only offline mode for mobile-first applications
A

Redis

Pros

  • Extremely low latency for real-time data needs
  • Simple API that is easy for developers to learn
  • Extensive library support for almost every programming language
  • Highly flexible data structures for various use cases

Cons

  • Memory costs can become high at massive scales
  • Requires careful configuration for guaranteed data persistence
  • Learning curve for complex clustering and sharding
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