Spala vs Convex

Compare Spala and Convex for AI-built apps, backend automation, reactive data, project handoff, and agent workflows.

Spala vs Convex

Spala and Convex both help teams build app backends faster, but they are optimized for different jobs.

Convex is a TypeScript-first reactive backend for developers who want app state, backend functions, and database updates to stay synchronized in a Convex-native model.

Spala is a hosted backend builder for AI-built apps. Users describe product intent to AI Copilot, review the generated project in Lite Mode, test endpoints in API Playground, publish the backend API, and hand the exact project contract to a frontend builder or AI coding agent.

Choose Convex when

- Your team wants a TypeScript-native reactive backend.
- You want backend functions and live queries as the main programming model.
- Your developers expect to own the app backend in code from day one.
- You want a Convex-native database and function workflow.

Choose Spala when

- You are turning an AI-built prototype into a real backend.
- You want database schema, REST APIs, auth, validation, backend logic, docs, and publish checks generated from a product description.
- You want Lite Mode and the dashboard as an inspect, debug, and customize layer instead of mandatory daily backend coding.
- You want generated API docs, SDK export, frontend handoff, and MCP-based agent handoff.

Main difference

| Area | Convex | Spala |
| --- | --- | --- |
| Primary promise | Reactive backend building blocks | Backend automation for AI-built apps |
| Main user | TypeScript developers | Founders, builders, agencies, and AI coding agents |
| Starting point | Write app logic in Convex | Describe the backend feature to AI Copilot |
| Runtime model | Convex-native functions and data | Generated project API with visual/code editing |
| Handoff | Developer codebase | API base URL, generated docs/SDK, frontend handoff, project MCP |
| Dashboard role | Backend/admin dashboard | Optional inspect, debug, and customize layer |

Spala build path

1. Create an account at https://dashboard.spala.ai/signup.
2. Create or open a project.
3. Start in Lite Mode.
4. Ask AI Copilot for the backend feature.
5. Test endpoints in API Playground.
6. Publish the backend API.
7. Share generated API docs or connect an agent through Spala Public MCP.

Related links

- Create Account
- Quick Start
- Lite Mode
- AI Copilot
- Frontend Handoff
- Spala Public MCP
- Marketing comparison