Convex vs Firebase for Solo Developers

Quick Comparison

Convex Overview

Convex is a newer backend platform built around the idea that server-side logic, database access, and real-time synchronization should all feel like one seamless system. You define your database schema in TypeScript, write query and mutation functions as TypeScript code, and use them directly in your React components. Data changes propagate to all connected clients automatically.

The type safety is the headline feature. Your schema generates TypeScript types that flow through your server functions and into your frontend. Rename a database field, and your IDE immediately highlights every place in your codebase that references it. This is not just convenient, it prevents an entire category of bugs that plague document databases where schema is typically untyped.

Convex also handles the infrastructure details you would normally manage yourself. Functions scale automatically, the database handles concurrent writes with transactions, and file storage is built in. For a solo developer, this means less time on ops and more time on features.

The platform is still relatively young compared to Firebase, which means the community is smaller and you will find fewer tutorials, Stack Overflow answers, and third-party integrations. But the documentation is excellent and the Discord community is active and helpful.

Firebase Overview

Firebase is Google's backend-as-a-service platform and one of the most widely adopted tools in the solo developer world. It has been around since 2012, and the ecosystem reflects that maturity. Firestore (document database), Authentication (email, social, phone), Cloud Functions (serverless backend logic), Hosting, Storage, Cloud Messaging, Analytics, and Crashlytics. It is an entire backend in a box.

For solo developers, Firebase's appeal is speed of prototyping. Create a project in the Firebase console, install the SDK, and you have authentication and a database ready in minutes. The real-time capabilities of Firestore are strong, with live data syncing and offline support baked in. The mobile SDKs are particularly polished, making Firebase the go-to choice for mobile app developers.

The pricing model is where Firebase gets tricky. The free Spark plan is generous for getting started, but the Blaze (pay-as-you-go) plan charges per document read, write, and delete. This can lead to surprise bills if your data model requires many reads. I have seen solo developers hit unexpected costs because a poorly optimized query was reading thousands of documents per page load. You need to think about your read patterns carefully.

Firebase also lacks the type safety that modern developers expect. Firestore is schemaless, which means there is nothing stopping you from writing inconsistent data. Libraries like Zod or custom type converters help, but it is extra work you have to do yourself.

By the Numbers (2026)

It helps to anchor the comparison in current figures rather than vibes. Here is where both platforms stand as of late May 2026.

Versions and code. The Convex client package sits at version 1.39.1, published to npm on May 15 2026. Firebase is on version 12.13.0, published May 7 2026. Both client SDKs are written in TypeScript. The meaningful structural difference is in what is open. Convex open-sourced its backend in March 2024 under the Fair Source License, which converts to Apache 2.0 two years after each release, and the backend is mostly Rust with a TypeScript function runtime. You can self-host the same code the cloud runs, with SQLite or Postgres storage, in a Docker container. Firebase open-sources only its client SDK (firebase-js-sdk, Apache 2.0). Firestore itself is a closed Google Cloud service you cannot run on your own hardware.

Adoption. Firebase has the larger install base by a wide margin. The firebase npm package pulled roughly 7.25 million downloads in the week of May 21 to 27 2026, against roughly 731,000 for convex over the same window. That is about a ten-to-one gap, which matches the difference in tutorials and Stack Overflow answers you will feel in practice. On GitHub the picture inverts for the open repos. The get-convex/convex-backend repository carries around 11,700 stars, while firebase/firebase-js-sdk carries around 5,100. Stars measure developer curiosity about the backend itself rather than production usage, so read the two numbers together: Firebase is far more deployed, Convex generates more interest as an architecture.

Free tiers. Convex's free tier gives you 1 million function calls, 0.5 GB of database storage, and 1 GB of egress per month. Firebase's no-cost Spark tier is measured per day rather than per month. For Firestore you get 50,000 document reads, 20,000 writes, 20,000 deletes, and 1 GiB of stored data each day, plus 10 GiB of outbound transfer per month. The daily reset is worth internalizing. A burst of traffic that blows through the read quota at noon locks you out until midnight Pacific on Spark, whereas Convex meters against a monthly bucket.

Paid pricing. Convex's first paid tier is the Professional plan at $25 per developer per month, which includes 25 million function calls, 50 GB of database storage, and 50 GB of egress, with overage at $2 per additional million function calls, $0.20 per GB of storage, and $0.12 per GB of egress. Firebase has no flat tier. The Blaze plan is pure pay-as-you-go on top of the same daily free quotas, charging $0.06 per 100,000 Firestore reads, $0.18 per 100,000 writes, $0.02 per 100,000 deletes, and $0.18 per GiB per month for storage.

Real Cost at Solo-Dev Scale

Numbers in the abstract do not tell you which bill is smaller, so here is a worked example for a realistic solo-dev app. Assume a modest but real product with steady usage.

Assumptions:

• 3,000 daily active users
• 50 document reads and 5 document writes per user per session, one session per day
• 1 GB of stored data
• Treat each Convex query or mutation as one function call, so reads and writes map roughly one-to-one onto function calls

That works out to 150,000 reads and 15,000 writes per day, or about 4.5 million reads and 450,000 writes per month, totaling roughly 4.95 million database operations per month.

Firebase Blaze. The daily free quota of 50,000 reads and 20,000 writes is exhausted almost immediately at this scale, so most reads are billable. Monthly reads of 4.5 million, minus the 1.5 million covered by the daily free quota over 30 days, leave 3 million billable reads at $0.06 per 100,000, which is $1.80. Writes of 450,000 fall under the 600,000 covered by the daily write quota over 30 days, so writes cost nothing here. Storage of 1 GiB sits inside the 1 GiB free quota, so storage is also free. The Firestore line item lands at roughly $1.80 per month. The catch is that this is fragile. A single unoptimized screen that reads 500 documents instead of 50 multiplies the read bill by ten, and that is exactly the surprise-bill pattern described above.

Convex Professional. At $25 per developer per month flat, the same 4.95 million operations sit comfortably inside the 25 million included function calls, the 1 GB of data sits inside the 50 GB allowance, and you pay $25 regardless. Nothing scales with your read pattern until you cross 25 million calls.

The honest read is that at this specific workload Firebase is cheaper, around $2 versus $25, because the workload is small and well within Firestore's per-operation economics. Convex's flat fee wins when traffic is heavier or, more importantly, when traffic is spiky and hard to predict, because the bill does not move with a runaway query. Run your own read and write counts through these rates before deciding. The crossover point is roughly where your monthly billable Firestore operations push past what $25 buys, and a careless query can move that line overnight.

When to Pick Convex

Convex is the right choice when you want a modern, type-safe backend experience and you are building primarily with React or Next.js.

Pick Convex if:

• End-to-end TypeScript type safety is important to you
• You are building a real-time web application (React, Next.js)
• You want reactive queries that automatically update your UI
• You prefer writing backend logic in TypeScript with a local-first feel
• You want ACID transactions on a document database
• Predictable pricing matters (no per-read/write charges like Firebase)

Convex excels when your application is data-intensive and interactive. The reactive model means you write less code to keep your UI in sync with your database.

When to Pick Firebase

Firebase is the right choice when you need a mature, full-featured backend platform with strong mobile support and the backing of Google's infrastructure.

Pick Firebase if:

• You are building a mobile app (iOS, Android, Flutter)
• You need push notifications, analytics, or crash reporting alongside your backend
• You want the largest ecosystem of tutorials, libraries, and community support
• Google Cloud integration matters for your future scaling plans
• You need offline-first capabilities (Firestore offline support is excellent)
• Authentication with many providers (Google, Apple, phone, etc.) is a requirement

Firebase is the proven choice with a decade of production use. When in doubt, Firebase works.

The Verdict

Convex and Firebase are both backend platforms aimed at developers who want to ship fast without managing infrastructure. The philosophical difference is significant though. Firebase gives you a massive toolkit with maximum flexibility and minimal type safety. Convex gives you a more focused toolkit with maximum type safety and a more opinionated developer experience.

For solo web developers working in TypeScript and React, Convex offers a genuinely better development experience. The end-to-end type safety alone prevents hours of debugging schemaless data issues. The reactive queries eliminate the need for manual refetching and cache management. And the pricing model is more predictable than Firebase's per-operation charges.

For solo mobile developers, or anyone who needs the breadth of services Firebase offers (push notifications, analytics, crashlytics, A/B testing), Firebase is still the right choice. Convex does not compete in the mobile space yet, and Firebase's mobile SDKs are unmatched.

If you are building a web application and have not tried Convex yet, give it a serious look. It represents the next generation of backend development tooling, and for the right project, the productivity gains are substantial. But if you need the kitchen sink of backend services that Google has spent a decade building, Firebase is hard to beat.

Sources

All figures checked on 2026-05-28.

• Convex pricing, plans, and limits: convex.dev/pricing
• Convex platform limits: docs.convex.dev/production/state/limits
• Convex open-source and licensing: news.convex.dev/convex-goes-open-source
• Convex backend repository (stars, language): github.com/get-convex/convex-backend
• Convex npm version and publish date: registry.npmjs.org/convex/latest
• Convex npm weekly downloads: api.npmjs.org/downloads/point/last-week/convex
• Firebase pricing plans (Spark vs Blaze): firebase.google.com/docs/projects/billing/firebase-pricing-plans
• Firestore free quotas and billing: firebase.google.com/docs/firestore/pricing
• Firestore per-operation pricing: cloud.google.com/firestore/pricing
• Firebase JS SDK repository (stars, language): github.com/firebase/firebase-js-sdk
• Firebase npm version and publish date: registry.npmjs.org/firebase/latest
• Firebase npm weekly downloads: api.npmjs.org/downloads/point/last-week/firebase