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

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.

Dgraph is a native GraphQL database designed to help you build applications with complex data patterns without the overhead of traditional relational mapping. You can store your data as a graph and query it using standard GraphQL or Dgraph's own query language, DQL. This approach eliminates the need for complex joins and allows you to fetch deeply nested data in a single network request, significantly reducing latency for your end users. You can deploy Dgraph as a managed cloud service or run it on your own infrastructure using Docker or Kubernetes. It is built to scale horizontally, meaning you can handle growing traffic and data volumes by simply adding more nodes to your cluster. Whether you are building a social network, a recommendation engine, or a real-time fraud detection system, Dgraph provides the ACID-compliant reliability and speed you need to manage interconnected data at scale.