Supabase pricing has two layers: a flat monthly fee for your plan (Free, Pro, Team or Enterprise) and usage charges once you pass the allowances included in that plan. Those charges track database size, data egress, monthly active users, file storage and compute size. Most startups stay on the entry paid plan for a long time.
| Cost driver | What it measures | When it starts to matter |
|---|---|---|
| Plan fee | Free, Pro, Team or Enterprise subscription | From the day you take real users |
| Database size | Disk used by your Postgres data | Event logs, uploads stored as rows, large tables |
| Egress | Data sent out of Supabase to users | Media-heavy apps, chatty queries, public downloads |
| Auth users | Monthly active users who sign in | Consumer apps with thousands of users |
| Storage | Files held in Supabase Storage | User uploads, documents, images |
| Compute add-on | CPU and RAM of your database instance | Slow queries, many concurrent connections |
Supabase charges a monthly subscription for each organisation, then bills extra for usage beyond the quota bundled with that plan. Every project is a dedicated Postgres database, and larger projects can run on bigger compute. You pay a base, then pay for growth in specific meters.
That structure is friendlier than per-read, per-write billing, because a Postgres database has a predictable footprint. You can reason about it with a spreadsheet instead of guessing at query counts.
One point catches founders out. Plans attach to the organisation, while compute is attached to each project. If you run a production app and a staging copy, you are paying for two databases, not one. Plan for that from the start.
Free suits experiments and early prototypes, Pro suits live products with paying customers, Team adds collaboration and compliance features for larger groups, and Enterprise is custom-quoted. Each paid tier includes bundled usage allowances, and you only pay extra above them. Check the live page for current quotas.
The Free plan lets you build a working prototype without a card. The catch is that inactive free projects can be paused, and free projects come with tighter limits and fewer safeguards. That is acceptable for a demo, not for a product people rely on.
Pro is the plan we would put almost every launched MVP on. It removes the pausing risk, raises the included quotas and unlocks controls such as daily backups and spend management. For a founder, the monthly fee is small next to the cost of an outage on launch week.
Team and Enterprise are mostly about who can do what: single sign-on, audit needs, support commitments and contract terms. If a European buyer's procurement team asks for those, that is your trigger. Raw traffic alone rarely is.
Five meters drive most invoices: database size, egress, monthly active users, file storage and compute. Each plan bundles an allowance for them, and overage is billed per unit beyond it. For most startups, egress and compute grow faster than the rest, so watch those two first.
Database size is the disk your Postgres data occupies. Text and numbers are compact, so a typical MVP stays tiny. Size balloons when you store logs, analytics events or base64 images inside tables. Keep files in Storage and prune event tables on a schedule.
Egress is data leaving Supabase on its way to your users. Every API response, image and download counts. A single page that fetches 5,000 rows when it displays 20 is a quiet egress leak. Pagination and image resizing are the cheapest fixes you will ever make.
Auth is priced on monthly active users, meaning people who actually sign in during the month, not everyone who ever registered. A B2B product with 400 customers barely registers. A consumer app with a viral month can cross the included quota quickly, so model the best case, not just the expected one.
Storage covers uploaded files such as avatars, invoices and attachments. Cost is driven by volume stored plus the egress when those files are served. Compress images on upload and set sensible size limits, and this meter stays boring.
Compute is the CPU and memory behind your database. The default instance is small, and upgrading to a larger one is the usual first big jump in a monthly bill. Do not buy size to cover slow queries. Add indexes first, then resize if the numbers still say so.
These are hypothetical scenarios, not client cases, and they deliberately use usage patterns rather than prices. Take the profile that matches you, then price each line on the live Supabase pricing page.
Picture a booking tool for a small UK clinic group. It has a few thousand rows, a few hundred monthly users and a handful of PDF uploads. Every meter sits inside the Pro allowance. You pay the plan fee and almost nothing else.
The decision here is simple. Launch on Pro, keep one production project, and add a staging project only when a second developer joins. Do not buy a compute upgrade "just in case". A small instance handles this load comfortably.
Now picture a Swedish consumer app with several thousand monthly active users and photo uploads. Auth stays near the quota, but egress and storage start to move because images are served repeatedly.
Here the overage that appears is usually egress. The fix is not a bigger plan. Resize images before upload, serve thumbnails in lists and cache what you can. A day of engineering often saves more than every other optimisation combined.
A B2B analytics SaaS with dashboards, scheduled jobs and many concurrent connections behaves differently. Users are fewer, yet each runs heavy queries. Database size grows through event data, and compute becomes the main line item.
The first move is query work: indexes, materialised views, connection pooling. Only after that do you step up compute, perhaps with a read replica. At this stage a Team plan may also be justified by security reviews rather than traffic.
| Stage | Meter most likely to rise | First action |
|---|---|---|
| MVP | None; all inside allowances | Stay on Pro, one project |
| Early traction | Egress and storage | Paginate, resize images, cache |
| Scaling SaaS | Compute and database size | Index, pool connections, then resize |
If you are still deciding what to build first, our breakdown of startup web app development cost shows where the backend sits in the wider budget.
Set up spend controls and usage alerts on day one, review the usage dashboard monthly, and fix the two common leaks: oversized API responses and unindexed queries. Treat the invoice as a monitoring signal. A jump almost always points to one specific change in your code.
One thing is genuinely unsettled: how pricing will look for apps that create many small databases, such as AI agent products. On 2 October 2026 Supabase announced it was acquiring Turso, the SQLite company, and no pricing for that kind of workload had been published at the time of writing. If your design depends on it, ask before you commit.
On 2 October 2026 Supabase announced a $150 million funding round, the acquisition of Turso and a preview of Supabase Compute. None of these announcements changes the plan structure described here, but they signal that compute and database offerings will keep evolving, so recheck pricing before each budget cycle.
For founders, the practical meaning is stability for a vendor you are building on, plus a reminder that pricing pages are living documents. Put a quarterly reminder in the calendar to reread it.
Supabase is a poor fit when your data is naturally document-shaped with little relational structure, when your team already lives inside Google Cloud, or when strict data-sovereignty rules require an operator based in the EU. Otherwise, a Postgres foundation is a strong, portable default for most startups.
Our view: for a relational product, such as bookings, billing or multi-tenant SaaS, Supabase's Postgres base beats the alternatives on predictability. If you are weighing it against Google's platform, read Supabase vs Firebase for UK startups before deciding.
Data location deserves a separate check. Choosing an EU region keeps data in Europe, but legal advice on your obligations belongs with your own counsel, not a pricing article.
Axire Infotech is a lean studio, based in India and working remotely with startups and businesses across Europe. For web development we use React, Next.js, Node.js and Supabase. Our process runs through Discovery and Planning, Design and Prototyping, Development and Testing, then Launch and Support.
During discovery we estimate which usage meters your product will hit, so the backend cost is a known line in the plan. The same thinking applies to cross-platform apps built with React Native on one codebase, and to UI/UX design that avoids wasteful, data-hungry screens. Browse our projects to see what we have shipped, including Media Mates, MustQR and Pehchaan.
For a sense of what the rest of a build costs, see MVP development: 20 questions startups ask.
Yes, there is a Free plan suited to prototypes and learning. It has tighter limits than paid plans, and inactive projects can be paused. Treat it as a testing ground, and move to a paid plan before launching a product that customers depend on.
Yes. Paid plans offer spend management controls, so usage beyond the included quota does not silently run up an invoice. The trade-off is that a cap may restrict service when you exceed it, so decide deliberately whether availability or budget matters more.
No, it does not meter individual queries. You pay for resources: compute size, database disk, egress, storage and active users. Inefficient queries still cost money indirectly, because they push you towards a larger compute instance sooner.
Expect the plan fee alone at MVP stage, with overage appearing only as traffic grows. We will not quote a number here, because rates change; the live Supabase pricing page is the source of truth. Model your own meters against it.
A Supabase invoice stops being a surprise once you have mapped your own usage against each meter. If you would like that mapping done for your product, contact Axire Infotech and we will reply within 2 hours during business hours, or email hello@axire.in. You can also see all our services or read more on the Axire blog.
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