Drizzle vs Firebase for Solo Developers

Quick Comparison

Drizzle Overview

Drizzle ORM gives you a TypeScript-native way to write SQL queries with compile-time type checking. Your schema lives in TypeScript files, your queries look like SQL, and the generated output is exactly what you would expect. No magic. No surprise N+1 queries. No 40 MB client library.

For solo developers, the appeal is clarity. You always know what query is running against your database. The migration system (drizzle-kit) handles schema changes, and the whole package works across Postgres, MySQL, and SQLite. You pair it with whatever database host fits your budget and deploy however you want.

The downside is that Drizzle only does one thing: ORM. Everything else, auth, storage, hosting, realtime, is your problem to solve.

Firebase Overview

Firebase is Google's Backend-as-a-Service platform. It bundles Firestore (NoSQL document database), Authentication, Cloud Storage, Hosting, Cloud Functions, and a dozen other services under one roof. You create a project in the Firebase console, drop in the SDK, and start building immediately.

The Firestore database uses a document-collection model. You do not write SQL. Instead, you structure data as nested documents and query it using the Firestore SDK. For simple CRUD applications this is fast and intuitive. For anything involving complex joins, aggregations, or relational data, it gets painful.

Firebase's free tier (Spark plan) gives you 1 GiB Firestore storage, 10 GiB of monthly network egress, 50,000 document reads per day, 20,000 writes per day, 20,000 deletes per day, and Authentication free up to 50,000 monthly active users. That is enough to build and launch a small product without spending a dollar on infrastructure.

Head-to-Head Comparison

By the Numbers (2026)

Voice and gut feel are fine, but here is the real, checkable data behind the comparison as of 28 May 2026.

A few things to read out of that table. Drizzle and Firebase pull almost identical weekly install volume, so this is not a niche-versus-mainstream fight. Both are load-bearing infrastructure for a lot of real apps. The split is architectural, not popularity. Drizzle ships zero runtime dependencies and a tiny footprint, which is why it runs cleanly on edge and serverless functions where Firebase's broader SDK is heavier. And Drizzle's portability across nine-plus SQL targets is the literal opposite of Firestore, which is one proprietary store you cannot lift and move.

Firestore Pricing Past the Free Tier

Once you cross the Spark plan you are on Blaze, Firebase's pay-as-you-go plan. The per-operation Firestore rates from Google's own billing example are:

• Document reads: 0.06 USD per 100,000 reads (first 50,000 per day free)
• Document writes: 0.18 USD per 100,000 writes (first 20,000 per day free)
• Document deletes: 0.02 USD per 100,000 deletes (first 20,000 per day free)
• Stored data: 0.18 USD per GiB per month (first 1 GiB free)

Drizzle has no equivalent line item because it is just a library. Your cost is whatever your Postgres, MySQL, or SQLite host charges, and that is a flat number you choose up front.

Real Cost at Solo-Dev Scale

Numbers in a table are abstract, so here is a worked example with stated assumptions. Imagine a modest SaaS dashboard that has grown a little past the free tier.

Assumptions for one month:

• 3,000,000 document reads (about 100,000 per day, double the free 50,000-per-day allowance)
• 600,000 document writes (about 20,000 per day, right at the free write allowance most days, so call it near-zero billable writes)
• 2 GiB stored (1 GiB over the free 1 GiB)

Firebase Blaze math at the rates above:

• Reads: 50,000 per day are free, so roughly 1,500,000 of the 3,000,000 are billable. 1,500,000 / 100,000 = 15 units at 0.06 USD = 0.90 USD.
• Writes: at about 20,000 per day you sit inside the free 20,000-per-day allowance, so writes round to roughly 0 USD in this scenario.
• Storage: 1 billable GiB at 0.18 USD = 0.18 USD.
• Firestore subtotal: roughly 1.08 USD per month.

At this scale Firebase is almost free, and that is exactly its pitch. The Drizzle equivalent, a managed Postgres instance, is a fixed monthly fee regardless of read volume, so at low traffic Firebase wins on raw dollars.

Now scale the same app 20x to a busier product: 60,000,000 reads, 12,000,000 writes, 10 GiB stored in a month.

• Reads: free tier covers 1,500,000, leaving 58,500,000 billable. 585 units at 0.06 USD = 35.10 USD.
• Writes: free tier covers about 600,000, leaving 11,400,000 billable. 114 units at 0.18 USD = 20.52 USD.
• Storage: 9 billable GiB at 0.18 USD = 1.62 USD.
• Firestore subtotal: roughly 57 USD per month, and that is before bandwidth egress, Cloud Functions, and Auth past 50,000 monthly active users.

That same 20x workload on Drizzle plus a fixed managed Postgres plan does not move, because you are paying for a server, not per operation. This is the crossover that catches solo devs off guard. Firebase is cheapest at the start and gets less predictable as a chatty read-heavy app grows, while Drizzle plus managed Postgres is a known flat number from day one. Pick based on which risk you would rather carry: a fixed bill you pay even when idle, or a variable bill that scales with every list view and refresh.

These figures use Google's published US rates and ignore promotional credits and regional variation. Always confirm current pricing for your region before committing.

When to Pick Drizzle

Pick Drizzle when your data is relational. If you need joins between tables, complex filtering, aggregations, or transactions, you want SQL. Drizzle gives you SQL with type safety and nothing else getting in the way.

It is also the right choice when you care about vendor independence. Drizzle works with any Postgres, MySQL, or SQLite provider. If Neon shuts down tomorrow, you move to another Postgres host. Your ORM code does not change.

Choose Drizzle if you have experience with SQL and you want predictable costs. You pay a fixed monthly fee for your database host rather than worrying about per-operation charges that can spike unexpectedly.

Solo developers building SaaS products with user dashboards, reporting features, or complex data relationships will be much happier with a relational database and Drizzle than trying to force that into Firestore's document model.

When to Pick Firebase

Pick Firebase when you need to go from zero to working app as fast as possible and your data model is simple. If you are building a mobile app, a chat application, or a quick prototype where documents map naturally to your entities, Firebase removes almost all backend work.

Firebase is also strong when you need realtime sync. Firestore's snapshot listeners push data changes to connected clients instantly. Building a collaborative tool, a live dashboard, or a chat feature? Firebase handles the hard part of keeping clients in sync.

Choose Firebase if you are building something that needs offline support out of the box. Firestore's client-side cache lets your app work without a network connection and sync when connectivity returns. That is hard to replicate with a traditional SQL setup.

The Verdict

This comparison comes down to your data model and how much backend work you want to do yourself.

If your data is relational, you know SQL, and you want to own your infrastructure decisions, Drizzle with a managed Postgres provider gives you more power and flexibility. You will need to add auth, storage, and other services separately, but you avoid vendor lock-in and pricing surprises.

If you want maximum speed to launch, your data fits a document model, and you do not mind being locked into Google's ecosystem, Firebase gets you shipping faster with less code. Just keep an eye on your read and write counts as you scale, because Firebase billing can surprise you.

For most solo developers building web-based SaaS products, I would lean toward Drizzle plus a managed Postgres service. The relational model handles more use cases, and the total cost of ownership is more predictable. But if you are building a mobile-first app with simple data needs and you want to skip all backend setup, Firebase is genuinely hard to beat for speed.

Sources

All figures checked on 28 May 2026.

• Drizzle ORM GitHub repository (stars, language, activity): https://github.com/drizzle-team/drizzle-orm
• Drizzle ORM version 0.45.2 on the npm registry: https://registry.npmjs.org/drizzle-orm/latest
• Drizzle ORM npm download counts (week of 21 to 27 May 2026): https://api.npmjs.org/downloads/point/last-week/drizzle-orm and https://api.npmjs.org/downloads/point/last-week/drizzle-kit
• Drizzle ORM overview, supported databases, zero dependencies: https://orm.drizzle.team/docs/overview
• Firebase JS SDK version 12.14.0 on the npm registry: https://registry.npmjs.org/firebase/latest
• Firebase npm download counts (week of 21 to 27 May 2026): https://api.npmjs.org/downloads/point/last-week/firebase
• Firebase pricing, Spark free-tier limits, and Authentication free MAU: https://firebase.google.com/pricing
• Firestore Blaze per-operation rates (billing example): https://firebase.google.com/docs/firestore/billing-example
• Firestore pricing reference: https://cloud.google.com/firestore/pricing