Convex vs Neon: Reactive Backend vs Serverless Postgres

Convex and Neon are not direct competitors. Convex is a complete backend platform that includes a reactive document-relational database, serverless functions, file storage, job scheduling, and real-time sync, all written in TypeScript. When you choose Convex, you are choosing an entire backend architecture, not just a database. Neon is a serverless PostgreSQL provider. It gives you a managed Postgres database with autoscaling, scale-to-zero, and Git-style branching for development workflows. You bring your own backend framework, ORM, and application logic.

The comparison matters because both products are commonly evaluated together by developers starting a new project. If you want to move fast on a TypeScript-first product and do not want to manage infrastructure, Convex offers an opinionated but powerful path. If you need standard SQL, want to keep your existing backend setup, or are building for an environment that expects PostgreSQL, Neon is the database to use.

Convex's defining feature is its reactive query system. You write a TypeScript function that reads data, and every client subscribed to that query automatically receives updates whenever the underlying data changes. There is no WebSocket setup, no manual cache invalidation, and no polling. This reactivity is built into the database engine itself rather than layered on top.

Neon is standard PostgreSQL. It supports LISTEN/NOTIFY for basic pub/sub events, but this is not a real-time sync system in the same sense as Convex. To build real-time features on Neon, you need to add your own WebSocket server, use a library like Supabase Realtime which runs separately from Neon, or poll for changes. For applications where live data updates are central to the user experience, such as collaborative tools, dashboards, or messaging, Convex eliminates a significant layer of infrastructure complexity that Neon leaves to you.

Neon introduced usage-based pricing in 2025 following its acquisition by Databricks. The free tier includes 100 compute unit-hours per month and 0.5GB of storage. Paid usage starts at a $5 per month minimum, with storage now priced at $0.35 per GB-month after Databricks cut storage costs by 80 percent from the previous $1.75 per GB-month (Neon, 2025). Compute is billed at published per-hour rates with scale-to-zero meaning you pay nothing when your database is idle.

Convex's free Starter plan includes one million function calls, one gigabyte of file storage, and up to six team members. The Professional plan is $25 per developer per month and includes 25 million function calls, 50GB of database storage, and 100GB of file storage. Because Convex includes functions, file storage, and scheduling in that price, the comparison is not apples-to-apples. At early-stage scale, Neon is the cheaper option. At higher usage, Convex's bundled model may offer better overall value than assembling equivalent services separately.

Neon is PostgreSQL. Every query is SQL. You can use Prisma, Drizzle, Sequelize, or any other PostgreSQL-compatible ORM. Existing database knowledge transfers directly, and you can migrate data in and out using standard pg_dump tooling. This is a decisive advantage for teams that have existing SQL skills or are integrating with tools that expect a Postgres connection string.

Convex uses a document-relational model. Data is stored in tables with flexible schemas, and queries are TypeScript functions that run on the Convex server. There is no SQL. This means you cannot use Prisma or Drizzle with Convex, and migrating data out requires custom tooling. The upside is that your query logic is type-safe end-to-end, co-located with your application code, and benefits from Convex's reactivity automatically. For greenfield TypeScript projects, this model is productive and reduces the impedance mismatch between application and database layers. For teams with significant SQL investment, it is a real constraint.

Neon's branching is one of its most distinctive capabilities. Using a copy-on-write storage model, Neon can create an instant branch of your database for each development environment, pull request, or test suite. The branch shares storage with its parent until data diverges, meaning branches are created in milliseconds and do not duplicate your entire dataset. Each branch is a full PostgreSQL instance with its own connection string. Teams can run integration tests against a production-identical dataset without affecting live data.

Convex does not offer an equivalent branching model. You can run separate Convex projects for different environments, but there is no instant fork of production data. For teams that use feature branch databases as part of their CI/CD pipeline, Neon provides a workflow that has no direct Convex equivalent. This is a particularly strong argument for choosing Neon if your team runs database migrations as part of pull request review.

One of the more significant developments in Neon's positioning is its fit for AI agent workloads. Databricks acquired Neon in May 2025 for approximately $1 billion, citing its suitability as infrastructure for AI agents. Internal Neon telemetry showed that over 80 percent of databases provisioned on the platform were created automatically by AI agents rather than by humans (Neon, 2025). Neon can provision a new database instance in under one second, making it practical for agents that need ephemeral databases per task or session.

Convex has also emphasised its TypeScript-native architecture as well-suited for AI agent development, particularly for applications where agents need to persist state or coordinate in real time. The reactive query model means an agent's state changes are immediately reflected across all connected clients. For agentic workflows that centre on TypeScript and require real-time coordination between agents and users, Convex provides a more integrated solution. For workloads that need cheap, fast, disposable Postgres instances, Neon is the cleaner fit.

Choose Convex if you are starting a new TypeScript project that needs real-time features and you want a single platform to handle your database, functions, file storage, and scheduling. Convex removes the need to wire together separate services and gives you reactive data sync without any additional infrastructure. It is the faster path to a live product for TypeScript-first teams who do not have existing backend infrastructure.

Choose Neon if you need standard PostgreSQL, want to use a familiar ORM, need database branching for your development workflow, or are adding a database to an existing architecture. Neon works with any backend language or framework and does not require you to change your application architecture. It is also the right choice if your budget is constrained at early stage, since its usage-based pricing scales from a $5 minimum rather than $25 per developer. Many teams use both: Neon as the database layer in a Next.js or Express application, and Convex only in projects where real-time TypeScript reactivity is a first-class requirement.