Read This Before Choosing a Database for Your SaaS

Your new SaaS needs a database. You want to ship something people will pay for, keep your monthly costs small, and avoid rebuilding your backend if it takes off.

So you find a free tier, copy a connection string, and get back to building.

That can be a perfectly good decision. But the free tier only answers the first question: "What does this cost before anyone uses it?"

There are a few more questions worth answering before your customers' data lives there. What happens when you need staging? When several coding agents need separate development databases? When you go on vacation? When a migration goes wrong? When your first busy customer uses more resources than everyone else combined?

You don't need to predict your entire company's future. You do need to understand the next step.

Choose an engine, then choose how to run it

The database engine and the hosting platform are separate decisions.

For a typical SaaS with users, organizations, subscriptions, and permissions, PostgreSQL is a sensible starting point. We cover that choice in Best Database for a SaaS MVP.

Once you have an engine in mind, compare hosts against the same workload. A database connection, an integrated backend with authentication and file storage, and a highly available cluster solve different problems. Their entry prices are not directly interchangeable.

Write down what you actually need for the next few months: production, development, backups, expected storage, and any service you would otherwise have to buy or build. That is your comparison shopping list.

Look at the first paid month

A free plan lets you validate an idea without another subscription. The transition out of that plan deserves just as much attention.

Here is a snapshot of several options, checked on October 27, 2026. These are entry points, not quotes for equivalent infrastructure or a particular workload.

Sources: Layerbase pricing, Supabase pricing, Neon pricing, and PlanetScale pricing.

PlanetScale retired its free Hobby plan in March 2024, but that does not mean its current entry point is expensive: its single-node Postgres offering starts at the price shown above. Check today's product rather than choosing from an old comparison. PlanetScale's free-plan notice.

Usage billing can work well for intermittent workloads. A fixed plan can make budgeting easier when you want a known allocation. Either way, read what is included and what changes the bill. "From" and "unlimited" deserve a second look.

Our preference at Layerbase is a free starting point and flat monthly plan fees with explicit resource limits. Those limits matter: a fixed fee does not buy unlimited compute, storage, or growth.

Budget for the way you develop

Your production database may be small while your development workflow becomes surprisingly busy.

Imagine a team running production, staging, and several temporary environments for parallel development. Coding agents make it easier to create more of these environments, but someone still has to decide how long they live and what they can access.

Ask how branches are counted, whether they share storage, what happens when they diverge, and whether active compute is billed separately. A branch allowance alone does not tell you the total cost.

For example, Neon Launch includes 10 branches per project. Branches above the allowance cost $1.50 per branch-month, prorated hourly. That is not a charge of $1.50 every time you create a branch. Compute and storage remain separate considerations. Short-lived branches can be inexpensive; abandoned environments and ongoing compute are what you should model. Neon's branch billing explanation.

Layerbase includes branching within plan and engine limits. Check the current allowances against your intended workflow rather than assuming every engine or plan behaves identically.

Whatever host you choose, give temporary environments an owner and a cleanup policy. Use sanitized fixtures when a development task doesn't need customer data. Isolation is useful only if the credentials and data inside each environment are appropriate for its purpose.

Understand what happens during a quiet week

A free database may sleep, pause, or archive. Those words describe different experiences.

Sleep with automatic wake can add a delay to the next connection. A paused or archived database may require action before your application works again. Read the provider's actual lifecycle policy and test the behavior your users will encounter.

Supabase says free projects with low activity over a seven-day period may be paused; paid projects are not paused for inactivity. That can be a reasonable free-tier tradeoff, but a public demo or a product with occasional customers needs to account for it. Supabase's pausing policy.

A recent public check of 86 Supabase-backed apps reported that 31 still served landing pages while their configured Supabase hostnames no longer resolved. The apps came from Show HN and two maker directories. The author could not distinguish paused projects from deleted ones. This was a limited external observation, not a representative failure rate or proof that Supabase had archived those databases.

The useful lesson is that a working landing page does not prove your application works. Include a real application operation in your health checks, and make sure someone receives lifecycle notices. Do not use artificial keepalive traffic to bypass a free plan's rules.

Layerbase's free databases sleep when idle and wake on connection during ordinary use. Extended inactivity has a separate archive policy: a previously used free database can archive after 14 days hibernated, or seven days if it was never connected to. Archiving releases its address and requires a restore; it is different from ordinary sleep. Paid databases do not automatically archive for inactivity. See the database lifecycle documentation.

Free resources also come with acceptable-use requirements. If your workload needs to stay awake continuously, choose a paid allocation. We want the upgrade decision to be understandable before it interrupts your development.

Ask what "scales" means for your application

A provider's largest instance tells you little about whether your next upgrade will be painless.

Start with a handful of concrete questions:

• Can you increase memory and storage without changing your application architecture?
• What downtime, if any, should you expect during a resize?
• How many connections can your application open, including background jobs and deployments?
• What monitoring will show that you are approaching a limit?
• What backup and recovery options are available on the plan you will actually buy?
• If you need higher availability, what topology and service commitment are you paying for?

Measure representative queries and realistic concurrency. A single customer running a large report can matter more than hundreds of customers with occasional small requests. A missing index can also make an otherwise adequate database look undersized.

At Layerbase, start within an allocation that fits your workload and review paid capacity options as it changes. More capacity is available through the relevant plans and offerings, but an entry plan is not a promise to support any workload indefinitely.

Know what moving would involve

Choosing PostgreSQL gives you a widely supported engine. It doesn't automatically make every part of your backend portable.

If you adopt a provider's authentication, file storage, realtime APIs, or functions, those features can save substantial development time. Moving them later is a separate project from exporting SQL tables.

That is a tradeoff to evaluate, not evidence of bad intent. Decide which conveniences are worth depending on, document those dependencies, and try an export and restore before you urgently need one.

The same applies to Layerbase. Standard database clients and familiar engines help keep the data layer understandable, but you should still verify extensions, credentials, application integrations, and recovery steps for your own deployment.

Make the next step affordable

Before committing, write down three budgets: your development month, your first production month, and a busier month with several active development environments. Include backups and any backend services you need. If you can't explain what makes each budget change, spend another few minutes with the pricing documentation.

We built Layerbase for developers who want familiar databases, a free place to begin, branching, and a clear monthly plan as their product grows. You can choose from 19 hosted engines, with availability depending on your plan, instead of adding a new provider account every time a different workload calls for a different database.

Create a free database on Layerbase, connect your application, and test a realistic development session. Before inviting paying customers, choose the availability and recovery arrangements those customers need.

The right database decision should leave you with more time to build the product and a clear idea of what happens next.