Supabase costs 90 percent less than Firebase

A side-by-side pricing test on 100,000 monthly active users puts Supabase at $25 a month and Firebase at roughly $275 a month, according to a widely cited Reddit breakdown from the r/Firebase community. That gap is where the "90 percent cheaper" claim comes from, and it holds up under scrutiny once you account for how each platform actually bills you. If you're comparing Supabase vs Firebase pricing for a new project, the difference isn't a rounding error. It's a structural pricing decision baked into how each company built its platform.

This isn't just an academic pricing exercise. Startups and solo developers have watched Firebase bills balloon from a few dollars to four figures within a single billing cycle, often without changing their app's traffic pattern at all. Understanding why requires looking at the billing model underneath each product, not just the sticker price on the homepage.

#The 90 Percent Cost Difference Explained

Supabase's Pro plan costs $25 a month flat. That tier includes support for 100,000 monthly active users and comes with $10 in compute credit baked in, according to a Reddit thread comparing the two platforms directly.

Firebase has no equivalent flat tier. To support the same 100,000 monthly active users, you have to run the numbers through Google Cloud's pricing calculator, which lands around $275 a month for comparable usage, per the same Reddit analysis.

The difference comes down to two different philosophies:

• Supabase charges for infrastructure you reserve: a compute instance, a storage allocation, a bandwidth cap.
• Firebase charges for every individual operation your app performs: each read, each write, each function call.

At low traffic, per-operation billing feels cheap because you're barely using anything. At real production scale, it adds up fast, and that's where the 90 percent figure starts to make sense.

#Firebase's Hidden Costs: Beyond the Advertised Pricing

Firebase doesn't publish a clear, transparent pricing page the way Supabase does, according to a blog post from developer Justin McKelvey. Instead, you're expected to estimate usage and run it through a calculator, which makes it hard to budget ahead of time.

The per-operation model is where things get expensive. Firebase charges $0.03 per 100,000 reads and $0.09 per 100,000 writes, according to a breakdown by developer Farasat Ali. That sounds trivial until you remember that every single query against your database, even one that only needs one row, counts as a read with a one-read minimum.

A chat app that polls for new messages every few seconds, a dashboard that refreshes on an interval, or a mobile app with aggressive caching turned off can all rack up reads in the hundreds of thousands per day without anyone noticing until the invoice arrives.

#Authentication Triggers Are a Classic Trap

One of the most commonly cited horror stories involves Firebase authentication triggers. According to a blog post from Horizon.dev, authentication triggers alone have pushed some clients to $1,200 a month in unexpected costs.

This happens because every sign-in, token refresh, or account update can fire a chain of Cloud Functions, each one billed separately. If those functions write to Firestore or call other functions downstream, the cost compounds quietly in the background.

#Storage and Bandwidth Add Up Too

Baseline Firebase storage runs about $7 a month, with another $6 a month for bandwidth in typical small-app scenarios, according to Horizon.dev. Those numbers look modest on their own. Stacked on top of read and write charges and function invocations, they turn into a pricing structure with a lot of moving parts.

#Supabase's Transparent Pricing Model

Supabase runs on resource-based pricing instead of per-operation billing, according to a 2026 pricing analysis from Toolradar. You pay for a slice of infrastructure: a database instance, a set storage ceiling, a bandwidth allowance, not for every individual query that hits your tables.

The Pro tier includes one Micro compute instance with 1 GB of RAM, and that instance is covered by the $10 a month compute credit bundled into the $25 plan, according to a breakdown from developer Justin McKelvey. If your workload stays inside that instance's capacity, your bill stays flat regardless of how many reads or writes you run.

That's the core appeal for teams doing cost planning. A Firebase bill can move overnight if a feature ships with a bug that triggers extra reads. A Supabase bill mostly moves when you upgrade your compute tier or add storage, both of which are decisions you make on purpose.

For teams that outgrow Pro and need enterprise-grade compliance features, Supabase's Team tier runs $599 a month as of May 2026, according to Tech Insider. That's a steep jump from $25, but it's still a predictable, published number rather than a usage estimate.

#Real-World Scenarios: When Each Platform Actually Wins

Supabase isn't automatically the right call for every project. The architecture underneath each platform matters as much as the price tag.

This table shows which platform tends to fit better depending on data model and scale, not price alone.

According to a DEV Community analysis by developer Matt Wolfhoffman, Firebase only becomes cost-comparable to Supabase's next pricing tier once an app crosses roughly 20,000 writes per day or 50,000 reads per day. Below that threshold, Firebase's free or low-tier pricing can genuinely be the cheaper option, especially for side projects and early prototypes with unpredictable, low traffic.

The crossover point is the detail most comparison articles skip. If you're building a small internal tool or a weekend project, Firebase's free tier might cost nothing. The moment your app gets real users with real query patterns, that math flips.

#The Query Optimization Factor

Database design affects your bill differently depending on which platform you're on, and this is where a lot of teams get surprised after launch.

On Firebase, every inefficient query is a direct billing event. A poorly indexed Firestore collection that forces your app to fetch more documents than it needs translates straight into extra read charges. Developers who don't actively manage query patterns can watch their bill creep up as their user base and data volume grow, even if the app's logic hasn't changed.

On Supabase, because you're running actual PostgreSQL, you get a mature query planner, indexes, and the kind of optimization tooling that's existed in relational databases for decades. A slow query costs you compute time within your reserved instance rather than triggering a new line item on your invoice. That doesn't mean bad queries are free, they'll eventually force you to upgrade your compute tier, but the billing signal is less immediate and less punishing.

This is one of the underappreciated differences between a managed PostgreSQL vs Firebase decision: SQL gives you decades of tooling for query optimization, while NoSQL read/write billing punishes inefficiency in real time, invoice by invoice.

#Scaling Costs: What Happens as Your App Grows

According to Toolradar's 2026 pricing analysis, Supabase holds a 30 to 50 percent cost advantage over Firebase at mid-scale usage levels. That's a meaningful spread for any startup watching burn rate, and it tends to widen rather than shrink as usage grows.

The reason is structural. Firebase's per-operation model means your bill grows roughly linearly, or worse, with your traffic. Supabase's resource-based model means your bill grows in steps, you pay the same price until you outgrow your current compute tier, then you pay more.

For founders trying to extend runway, that step-function pricing is easier to forecast than a usage curve that depends on exactly how your users behave inside the app.

#Beyond Price: Architecture and Developer Tradeoffs

Price isn't the only variable, and treating this purely as a cost comparison misses half the decision.

Supabase is built on PostgreSQL, a relational database, while Firebase runs on a NoSQL document database, according to Supabase's own comparison page. That's not a minor technical footnote, it determines how you model data, write queries, and enforce relationships between tables.

• Choose Supabase if your data is naturally relational (users, orders, products with foreign keys) and your team already knows SQL.
• Choose Firebase if your data is document-shaped (flexible, nested JSON-like records) and you want deep integration with other Google Cloud tools.

Supabase also ships as open-source tooling with genuine self-hosting support, according to a comparison from Design Revision. Firebase, by contrast, is a proprietary product tightly coupled to Google Cloud, which means you're locked into Google's infrastructure and pricing decisions long term.

Both platforms genuinely eliminate the need to manage your own servers for basic auth, storage, and database hosting, which is the whole reason developers reach for either one in the first place. The difference shows up later, in how predictable your bill is and how much control you have if you ever need to move.

#Migration Economics: Is Switching Worth It?

Moving from Firebase to Supabase isn't a flip-a-switch operation, and anyone promising an instant, code-free migration is oversimplifying it. Firestore's document model and PostgreSQL's relational model are fundamentally different, which means your data layer needs restructuring, not just an export and import.

That said, the migration cost is usually a one-time engineering expense, while Firebase's per-operation billing is a recurring cost that compounds every month your app runs. For a growing app, a few weeks of migration work can pay for itself within a couple of billing cycles once you're past the 100,000 MAU range the Reddit comparison used.

Teams considering self-hosted database costs as a third option should weigh the ongoing DevOps burden against the compute savings. Supabase's open-source core makes self-hosting possible, but someone still has to patch, back up, and monitor that PostgreSQL instance.

#FAQ

Q: At what point does Supabase become cheaper than Firebase?

A: According to DEV Community's analysis, the crossover tends to happen around 20,000 writes per day or 50,000 reads per day. Below that, Firebase's lower tiers or free plan can still be the cheaper choice.

Q: Is Firebase ever the better financial choice?

A: Yes. Low-traffic apps, prototypes, and projects with document-shaped data that stay within Firebase's free tier limits often cost nothing, which beats any paid Supabase plan.

Q: Can I migrate an existing Firebase app to Supabase without rewriting everything?

A: Not cleanly. Firestore's NoSQL structure and Supabase's PostgreSQL schema are different enough that your data layer and queries need real rework, not just a file export.

Q: Why does Firebase pricing feel unpredictable?

A: Firebase bills per operation, reads, writes, function calls, rather than per reserved resource. Google Cloud's pricing calculator is the main tool for estimating costs ahead of time, since Firebase doesn't publish a simple flat-rate pricing page, according to developer Justin McKelvey.

#Key Takeaways

• Run your actual expected reads and writes through both pricing models before committing. The crossover point around 20,000 writes or 50,000 reads a day is the number that actually matters for your budget.
• Treat Firebase authentication triggers and Cloud Functions as a cost risk, not an afterthought. Audit them early.
• If your data is relational, Supabase's PostgreSQL foundation saves you money and modeling headaches at the same time.
• Budget migration as a one-time engineering cost against Firebase's recurring per-operation billing, the math usually favors moving once you're past early-stage traffic.
• Don't pick a platform on price alone. Match the database model, relational or document, to how your data actually looks before you touch the invoice.