Prisma Postgres vs Neon Pricing 2026

If you're trying to decide whether Prisma Postgres or Neon is cheaper, the answer is a little annoying: they don't bill for the same thing, so it depends. I've tried to provide as short a summary here as I can. First, side-by-side, then per-plan detail, then a quick guide to which one works in which use-case.

They don't bill for the same thing. Prisma Postgres charges for how much you ask the database to do (operations). Neon charges for how long the database stays awake (compute-hours). That's the whole reason a line-by-line comparison is not entirely useful. The best answer depends on usage.

Price Comparison: Prisma Postgres vs Neon

Metric	Prisma Postgres	Neon	What it means
Billing model	Pay for operations	Pay for compute-hours	Prisma charges for queries; Neon charges for how long the database is awake.
Free tier	100k operations, 500 MB, 50 databases	100 CU-hours/project, 0.5 GB/project, 100 projects	Neon is usually better for many idle projects.
Starting paid cost	$10/month Starter	Usage-based, around $15/month typical Launch spend	Prisma has the cheaper fixed entry cost; Neon can be cheaper in very quiet months.
Included usage	1M operations	Compute and storage billed by usage	Prisma is easier to predict; Neon depends on actual runtime.
Extra usage	$0.008 per 1k operations on Starter	$0.106 per CU-hour on Launch	Prisma gets expensive with lots of queries; Neon gets expensive if compute stays active.
Storage	10 GB included, then $2/GB	$0.35/GB-month	Neon is cheaper for extra raw storage.
Egress	Free	Metered after allowance	Prisma is cheaper for data transfer.
Cheapest when	Active apps with steady or bursty workloads	Idle databases or very occasional workloads	Pick based on whether costs come from queries or awake time.

More about Neon's Plans

Neon's paid plans have no base fee, so a quiet month can cost a few dollars. The trade-off: storage has two parts (your data plus a separately billed history window for restores), and egress is metered once you pass the allowance. The ~$15 and ~$701 figures are Neon's own "typical spend" estimates, not flat prices.

What developers are saying about Prisma Postgres and Neon pricing

When Neon moved to usage-based pricing, the reaction on r/PostgreSQL was mixed. Some small-project developers found it pricier and questioned the post-Databricks direction. Neon's counter: autoscaling typically fits a workload onto ~2.4× less compute than a fixed instance (their report), rewarding spiky workloads but costing more for an always-on small app.

Prisma Postgres drew a similarly mixed reception on Hacker News at launch. Developers liked the simple per-operation pricing and free tier, but some flagged query-timeout limits as a dealbreaker for analytics-style queries. This is a fair point, since Prisma Postgres is built for interactive application queries, not long-running analytical scans. If you need heavy analytics alongside your app, look elsewhere.

On X, sentiment for both tracks the workload. One developer migrating low-traffic apps liked that Prisma's pricing is "ops-based … i dont have a lot of traffic on these apps". Neon's free tier draws repeated praise for personal and low-traffic projects: "better than Supabase's", "essentially free now", though some production experiences differ.

So which is cheaper?

It depends on the shape of your usage, not the headline numbers.

Bottom line

If you want a predictable bill for a normal app and you'd rather not think about compute time or egress, Prisma Postgres is the easier one to budget, and the free tier is plenty to start. If you're running many idle databases or a sustained high-query workload, run your numbers through Neon's usage model before deciding.

One thing the tables leave out: the database is usually just one line item, since you still pay to host the app itself, often through a separate vendor. If you're comparing whole stacks rather than databases, it's worth noting Prisma bundles the ORM, Postgres, and app Compute into one platform and one bill, and Neon has also recently released a compute product. Pricing on either of these is still somewhat unclear.

A final note: Don't trust a summary over your own math. Plug your real traffic into their calculators before you commit. Prices move (especially the usage rates), so check the Prisma and Neon pricing pages for the current figures.