Convex vs Neon for Solo Developers

Quick Comparison

Convex Overview

Convex is not just a database. It is a complete backend platform. You get a document database, serverless functions, file storage, scheduled jobs, and real-time subscriptions, all integrated into a single system with end-to-end TypeScript types. The idea is that you write your entire backend as Convex functions and the database, API layer, and real-time sync are handled for you.

The reactive model is what makes Convex unique. When you use a Convex query in your React component, it automatically subscribes to changes. If another user or a server function modifies the data your query depends on, your component re-renders with the new data. No manual refetching, no WebSocket configuration, no stale data. It just works.

For solo developers, this means you can build features that would normally require significant backend infrastructure (real-time collaboration, live feeds, presence indicators) with remarkably little code. The TypeScript types generated from your schema flow through your entire application, catching errors at compile time instead of in production.

The learning curve is the main barrier. Convex has its own way of doing things. Queries are functions, not SQL. The database is a document store, not relational. Pagination, indexing, and data modeling patterns differ from what you know if you come from PostgreSQL. The documentation is solid, but you are learning a new paradigm.

Neon Overview

Neon is serverless PostgreSQL with a few killer features. You get a standard Postgres database that scales to zero when idle (so you are not paying for compute when nobody is using your app), branches your database like Git (so you can test schema changes on a copy before applying them to production), and connects over HTTP or WebSockets for edge and serverless environments.

For solo developers, Neon solves the biggest pain point of managed PostgreSQL: cost. Traditional managed Postgres (RDS, Cloud SQL, even smaller providers) charges you for a running instance 24/7, even when nobody is hitting your database at 3 AM. Neon's serverless model scales to zero and only charges for the compute you actually use. The free tier includes 512 MB of storage and reasonable compute limits, which is more than enough for side projects and early-stage products.

I switched to Neon for a project that was costing me $15 per month on another provider just to sit idle most of the day. The savings were immediate. Cold starts are the tradeoff. The first query after the database has been idle takes a moment longer, but for most applications this is barely noticeable.

The database branching feature is quietly revolutionary. Before running a migration in production, you create a branch, test the migration there, verify everything works, and then apply it to your main database. It is the safety net every solo developer needs when there is nobody to review your schema changes.

By the Numbers (2026)

Marketing copy ages fast, so here is the current state of both platforms as of 28 May 2026, pulled from official pricing pages, registry data, and source repos.

Convex

• Client library convex on npm is at version 1.39.1, published 15 May 2026, with roughly 731,000 weekly downloads.
• The open-source backend lives at get-convex/convex-backend and sits at about 11,700 GitHub stars. The repo is primarily TypeScript.
• The free tier (called Free and Starter) includes 1 million function calls, 0.5 GB database storage, 1 GB database I/O, 1 GB file storage, and 1 GB egress per month, for 1 to 6 developers.
• The Professional plan is $25 per developer per month and bumps you to 25 million function calls, 50 GB database storage, 50 GB database I/O, 100 GB file storage, and 50 GB egress, for 1 to 20 developers. Overage on Professional runs $2 per additional million function calls, $0.20 per additional GB of storage or I/O, and $0.12 per additional GB of egress.

Neon

• The serverless driver @neondatabase/serverless on npm is at version 1.1.0, published 17 April 2026, with roughly 2.0 million weekly downloads.
• The engine lives at neondatabase/neon and sits at about 22,100 GitHub stars. It is primarily Rust.
• The Free plan includes 0.5 GB storage per project, 100 compute-unit-hours per project, up to 100 projects, 10 branches per project, and 5 GB of egress. Autoscaling on the free tier tops out at 2 compute units (8 GB RAM).
• The Launch plan is fully usage-based with no monthly minimum. Compute is $0.106 per compute-unit-hour, storage is $0.35 per GB-month, extra branches are $1.50 per branch-month, and autoscaling extends to 16 compute units (64 GB RAM). Invoices under $0.50 are not collected.

A quick read of the adoption numbers tells its own story. Neon's driver pulls roughly three times the weekly npm downloads of the Convex client, and its repo carries nearly double the stars, which reflects how much wider the "just give me Postgres" audience is. Convex is a younger, more opinionated bet on a single integrated paradigm.

Real Cost at Solo-Dev Scale

Pricing pages compare badly because the two platforms bill on completely different axes. Convex charges per developer plus usage above generous included limits. Neon charges purely for compute-hours and storage. The only honest comparison is to run a realistic solo-dev workload through both meters.

Assume a typical side project that is past prototype but not yet popular. One developer. A small app with a database around 2 GB, light steady traffic, and a backend that is genuinely idle most of the night.

On Convex. A solo dev is one seat. If your usage stays inside the Free and Starter limits (1 million function calls, 0.5 GB storage, 1 GB I/O per month), you pay nothing. Cross into real production traffic and you move to Professional at $25 per developer per month, which is a flat $25 until you blow past 25 million function calls or 50 GB of storage. For a 2 GB app that almost never happens, so your realistic Convex bill is either $0 (if you fit the free tier) or a predictable $25 per month.

On Neon. There is no seat fee. You pay for compute-unit-hours and storage. A database that scales to zero overnight and runs a small autoscaling compute during the day might burn, say, 300 compute-unit-hours in a month. At $0.106 per compute-unit-hour that is about $32 of compute. Add 2 GB of storage at $0.35 per GB-month, which is $0.70. That lands near $33 for the month, with the exact figure swinging directly with how much your compute actually runs. If your traffic is genuinely tiny and your free-tier 100 compute-unit-hours per project covers it, you pay $0.

The takeaway for a solo dev is that the two platforms cross over around the same low-double-digit monthly figure, but the shape of the bill differs. Convex gives you a flat, predictable $25 ceiling the moment you outgrow free, which is easy to budget. Neon gives you a usage curve that can be lower than Convex when your app is quiet and scale-to-zero is doing its job, but it tracks your compute, so a sudden traffic spike or a forgotten always-on compute can push it higher. If predictability matters more than squeezing the floor, Convex wins on this axis. If you want the bill to vanish when nobody is using the app, Neon wins. These are list rates as of the checked-on date below, so confirm current pricing before you commit.

When to Pick Convex

Convex is the right choice when you want a complete backend platform with real-time reactivity and minimal infrastructure management.

Pick Convex if:

• Your application needs real-time data sync (collaborative features, live dashboards)
• You want a complete backend, not just a database (functions, storage, scheduling included)
• End-to-end TypeScript type safety is a priority
• You are building with React or Next.js
• You prefer writing server functions over SQL queries
• You do not need the relational model (JOINs, complex queries)

Convex gives you more than a database. It gives you the entire backend layer, which means fewer services to manage and faster development velocity for the right type of application.

When to Pick Neon

Neon is the right choice when you want a standard, reliable PostgreSQL database with modern serverless conveniences.

Pick Neon if:

• You know PostgreSQL and want to keep using it
• You want a database that scales to zero and does not charge when idle
• Database branching for safe migrations appeals to you
• You are building with any framework or language (Neon is just Postgres)
• You need relational data modeling with JOINs, indexes, and constraints
• You want to use your favorite ORM (Prisma, Drizzle, SQLAlchemy, etc.)
• Portability matters, because you can migrate to any Postgres host anytime

Neon is PostgreSQL with better developer experience. No new paradigm to learn, just a smarter way to run the database you already trust.

The Verdict

Convex and Neon occupy very different positions in the backend tooling landscape. Convex is an opinionated, all-in-one platform that replaces your database, API layer, and real-time infrastructure. Neon is a focused, best-in-class PostgreSQL service that fits into any architecture you choose.

For most solo developers, Neon is the more versatile choice. PostgreSQL works with every framework, every ORM, every language. Your skills transfer directly. Your data model is portable. You can pair Neon with any backend framework (Django, Rails, Express, FastAPI) and any frontend. The serverless pricing means you only pay for what you use, and the branching feature makes database changes safer.

Choose Convex when real-time reactivity is a core product requirement and you are working in the TypeScript/React ecosystem. For these specific use cases, Convex delivers a better experience than bolting real-time features onto Postgres. Collaborative tools, live-updating dashboards, and multiplayer applications are where Convex truly shines.

If you are not sure which camp you fall into, start with Neon. It is the more conventional choice, and you can always reach for Convex when a project specifically calls for it. PostgreSQL has been the right answer for most applications for decades, and Neon makes it easier than ever to use.

Sources

All figures checked on 28 May 2026.

• Convex pricing, plans, included limits, and overage rates: https://www.convex.dev/pricing
• Convex platform limits and quotas: https://docs.convex.dev/production/state/limits
• Convex npm package version and weekly downloads: https://registry.npmjs.org/convex/latest and https://api.npmjs.org/downloads/point/last-week/convex
• Convex open-source backend repo and stars: https://github.com/get-convex/convex-backend
• Neon pricing and plan rates: https://neon.com/pricing
• Neon plan limits (Free and Launch): https://neon.com/docs/introduction/plans
• Neon usage-based pricing background: https://neon.com/blog/new-usage-based-pricing
• Neon serverless driver version and weekly downloads: https://registry.npmjs.org/@neondatabase/serverless/latest and https://api.npmjs.org/downloads/point/last-week/@neondatabase/serverless
• Neon engine repo and stars: https://github.com/neondatabase/neon