Convex
The backend platform that keeps your app in sync, expressing everything from database to APIs in pure TypeScript.
Overview
Convex is a comprehensive backend platform designed to simplify full-stack development by providing a unified, real-time, and type-safe environment. It allows developers to define their entire backend — from database schemas and queries to authentication and APIs — using pure TypeScript. This approach ensures that your backend code lives alongside your application code, benefiting from robust type-checking, autocompletion, and even AI-powered code generation. The platform's core value proposition lies in its 'always in sync' guarantee. Convex libraries automatically keep your application's frontend, backend code, and database state synchronized in real time. This eliminates the need for developers to manage complex state managers, implement cache invalidation policies, or manually handle WebSockets, significantly reducing development complexity and potential for errors. Additionally, Convex offers built-in features like authentication with numerous OAuth integrations, cron jobs, and an ecosystem of modular components to address common backend needs, making it a powerful tool for building modern, data-driven applications efficiently.
Pricing
Free & Starter
- 1-6 Developers
- 20 Project limit
- Chef AI App Generation
- Indexes
- File storage
- Text search
- Vector search
- Webhooks
- Crons
- Auth
- Automatic caching
- Node.js actions
- Health & Insights dashboard
- Preview deployments
- Log streaming
- Exception reporting
- Team member permissions
- Custom domains
- 85,000 Chef tokens/month
- 1,000,000 Function calls/month
- 20 GB-hours Action compute/month
- 0.5 GB Database storage total
- 1 GB Database bandwidth/month
- 1 GB File storage total
- 1 GB File bandwidth/month
- 0.5 GB Vector storage total
- 0.5 GB Vector bandwidth/month
- Good Provisioned resources
- 16 Query and Mutation concurrency
- 64 Action concurrency
- 16 HTTP Action concurrency
- JavaScript / TypeScript
- React
- Next.js
- React Native
- Svelte
- Node.js
- Python
- Rust
- HTTP API
- CSV Upload
- Backup/Restore
- Automatic backups
- Fivetran source connector
- Airbyte destination connector
- Airbyte source connector
- Community Support
- Email Support
Professional
- 100+ Project limit
- Chef AI App Generation
- Indexes
- File storage
- Text search
- Vector search
- Webhooks
- Crons
- Auth
- Automatic caching
- Node.js actions
- Health & Insights dashboard
- Preview deployments
- Log streaming
- Exception reporting
- Team member permissions
- Custom domains
- 500,000 Chef tokens/month
- 25,000,000 Function calls/month
- 250 GB-hours Action compute/month
- 50 GB Database storage
Pros & Cons
Pros
- Unified development experience with TypeScript for frontend and backend
- Real-time data synchronization simplifies complex state management
- Strong type safety across the entire stack reduces bugs
- Built-in authentication and backend components accelerate development
- Open-source option allows for self-hosting and greater control
- AI coding features can boost developer productivity
- Eliminates the need for separate database, API, and real-time layers
- Scalable architecture designed for modern web applications
Cons
- Steep learning curve for developers unfamiliar with its specific paradigm
- Vendor lock-in risk as it's a proprietary platform, despite open-source components
- Limited database flexibility compared to traditional SQL/NoSQL solutions
- Performance might be a concern for extremely high-throughput, low-latency use cases not optimized for its real-time model
- Community and ecosystem might be smaller compared to more established backend solutions
- Debugging complex real-time interactions can be challenging
- Pricing model could become expensive for large-scale applications with high usage
Use Cases
Reviews & Ratings
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Best For
- Building real-time collaborative applications
- Developing interactive dashboards and analytics tools
- Creating chat applications or social feeds
- Prototyping and building MVPs rapidly
- Developing applications requiring live data updates
- Building full-stack applications with a unified language
- Creating internal tools with dynamic data requirements
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