Convex vs E2X: Which Is Better in 2026?

Convex is a modern backend platform that provides developers with a reactive, realtime database and serverless functions, all written in pure TypeScript, designed to make building full-stack applications dramatically simpler. Traditional backends require stitching together a database, an API layer, realtime infrastructure, and more, each with its own complexity. Convex unifies these into one cohesive, reactive platform where your data updates live across clients automatically and your backend logic is just TypeScript functions — removing huge amounts of boilerplate and letting developers build sophisticated, realtime apps with remarkable ease.

The platform's defining quality is reactivity: when data changes, every part of your app that depends on it updates automatically and in real time, without you having to manage subscriptions, caching, or synchronization manually. You write your backend logic as TypeScript functions that query and mutate the database, and Convex handles the realtime sync, consistency, and scaling. This eliminates a whole category of difficult problems around state management and live data, and combined with end-to-end type safety, it makes building modern, interactive applications far faster and less error-prone. It's especially popular in the React and Next.js ecosystem.

Convex is used by developers and teams building modern, interactive web and mobile applications who want realtime functionality and a great developer experience without backend complexity. The value is simplicity and power together: it removes the hard parts of building realtime, full-stack apps — sync, state, infrastructure — and replaces them with a clean, reactive, type-safe platform. For developers who want to build apps where data is live and collaborative by default, without wrestling with the underlying plumbing, Convex offers a genuinely innovative approach. As modern apps increasingly demand realtime experiences, its reactive backend has won a growing following among developers who value both productivity and capability.

E2X is a Model-as-a-Service API platform for AI video generation, image generation, and related media models. It is built for developers and product teams that want to add media generation to their own applications without integrating each model separately. Teams load prepaid credits, create an API key, and make requests to supported models through a single API surface and a consistent request shape.

The model catalog provides the currently available models and their per-request prices before a call. A team can compare the supported options, estimate the cost of a workflow, and choose a model suited to its needs before generating. The catalog includes models from upstream providers such as Google, OpenAI, and ByteDance; availability may change as providers and supported models change, so current catalog details are the source of truth.

E2X uses prepaid, pay-as-you-go pricing. Credits are applied to requests, and published prices are shown per request; there are no recurring subscriptions, seat charges, or commitments. This makes it possible for teams to add a generation feature while keeping platform costs tied to actual usage rather than paying for a fixed number of seats. If a job fails, the request can be reviewed for credit where appropriate.

For example, a product team can build a creative workflow that accepts a prompt, routes a video or image generation request to a supported model, and returns the result to its users. The team can use one API key and a familiar request format while evaluating different models for quality, speed, and cost. The same account can support different media features in one application, without maintaining separate billing arrangements for each upstream provider.

E2X is a developer-facing API, not an autonomous agent or a consumer image editor. Its role is to provide a consistent way to access supported AI media models, with clear per-request pricing and prepaid usage. It is suited to builders who want to make video and image generation part of an app or service while keeping integration and billing straightforward.

Teams can start with one media workflow and expand to others as their product needs change. Supported models and per-request prices are presented together in the catalog, making it easier for developers to evaluate options before integration and keep the request path consistent when they change models. This is useful for applications where users create assets on demand and usage can vary from session to session.