Neon deserves credit for making serverless Postgres a normal thing to want. Separated storage and compute, copy-on-write database branching, scale-to-zero when idle, autoscaling under load — a lot of platforms are still catching up to ideas Neon shipped years ago. And in 2025 Databricks acquired Neon, which validated the architecture and, at the same time, put "what happens to the product roadmap now?" on a lot of teams' due-diligence lists.
If you're evaluating alternatives in 2026, it's usually for one of four reasons:
- 1Bill predictability. Usage-based pricing on compute-hours and storage is efficient, but forecasting it for a steady production workload takes real effort.
- 2Cold starts. Scale-to-zero is great for dev databases and rough for anything latency-sensitive that gets sporadic traffic.
- 3Acquisition uncertainty. Not a knock on Neon specifically — it's just what prudent teams re-check after any acquisition.
- 4You want the database next to the app. Neon is a database product. Your API still has to live somewhere else, and the credentials have to be wired between two dashboards.
Here's what I'd actually look at, and five options worth your time.
What to compare before you compare
Feature tables lie by omission, so anchor on the things that bite in production:
- Pricing model — flat monthly vs usage-based. Usage-based is cheaper at low traffic and harder to budget at steady traffic.
- Cold-start behavior — does the database suspend, and what's the wake-up cost for your p99?
- Connection handling — Postgres connections are expensive. Does the provider include a pooler, and what are the limits?
- Backups and restore — retention window, point-in-time recovery, and whether you've actually tested a restore (most teams haven't).
- Distance from your app — cross-provider latency between your API and your database is a tax you pay on every query.
1. Supabase
Supabase is Postgres plus a full backend: auth, storage, realtime subscriptions, edge functions, and auto-generated REST/GraphQL APIs over your schema. The developer experience is genuinely good and the community is enormous.
Strengths: you get a real Postgres database (extensions included), and the bundled auth alone saves weeks if you were going to build it anyway. The dashboard SQL editor and table view are the best in the category.
Trade-offs: free-tier projects pause after inactivity, and the platform's value assumes you buy into the bundle. If you only want a database and nothing else, you're carrying a lot of surface area you don't use. Pricing is plan-based with usage components — see [supabase.com/pricing](https://supabase.com/pricing).
Pick it when: you're building a new product and want auth + database + APIs from one vendor.
2. Railway
Railway is an application platform where Postgres runs as a service in the same project as your app. Deploys are pleasant, the canvas UI is genuinely nice for seeing your architecture, and the database is one click away from the service that consumes it.
Strengths: app and database co-located, minimal configuration, good DX for small teams.
Trade-offs: the database offering is a component of the platform rather than a specialized Postgres product — you won't find branching, advanced replication controls, or the tuning depth of a dedicated provider. Pricing is usage-based on resources consumed — see [railway.com/pricing](https://railway.com/pricing).
Pick it when: you want app + database on one platform and you value simplicity over database-specific features.
3. Amazon RDS / Aurora Serverless v2
The incumbent. RDS is boring in the best sense: mature, documented to death, and integrated with everything else in AWS. Aurora Serverless v2 scales capacity up and down in fine-grained increments and has since added an auto-pause option for idle databases.
Strengths: operational depth nothing else on this list matches — IAM auth, VPC isolation, cross-region replicas, compliance certifications, and a decade of production war stories to search when something breaks.
Trade-offs: you own more of the operational burden (parameter groups, maintenance windows, connection pooling via RDS Proxy is a separate paid piece), and the cost math takes a spreadsheet. It's usage-based across several dimensions — see [aws.amazon.com/rds/aurora](https://aws.amazon.com/rds/aurora/).
Pick it when: you're already deep in AWS, or compliance requirements decide for you.
4. Crunchy Bridge
Crunchy Data are Postgres specialists — they employ core contributors and it shows in the product. Crunchy Bridge gives you managed Postgres with more control than most: you get real superuser-adjacent access, solid extension support, and pragmatic ops defaults.
Strengths: the strongest "it's just Postgres, run well" option on this list. Per-instance pricing is easy to reason about — see [crunchydata.com/products/crunchy-bridge](https://www.crunchydata.com/products/crunchy-bridge).
Trade-offs: no serverless story — you provision instances and pay for them whether traffic shows up or not. And in 2025 Snowflake acquired Crunchy Data, so the same roadmap due-diligence you'd apply to Neon applies here too.
Pick it when: you want maximum Postgres fidelity and a team that treats the database as the product, not a feature.
5. PandaStack
Full disclosure: this is us, so weigh accordingly. PandaStack is a developer cloud platform — container apps, static sites, edge functions, cronjobs — with managed databases (PostgreSQL, MySQL, MongoDB, Redis) built in, orchestrated by KubeBlocks on GKE. Postgres 14.x and 16.x are what we run in production today.
The pitch is different from Neon's. Neon is a best-in-class standalone database; PandaStack's database is strongest when your app runs on the platform too. You provision a Postgres instance, attach it to your app, and DATABASE_URL is injected automatically — no copying credentials between a database dashboard and a hosting dashboard, no cross-provider network hop on every query.
Strengths: flat, predictable pricing — Free at $0/mo (1 database, 50 connections, 7-day backup retention), Pro at $15/mo (300 connections, 15-day retention), Premium at $25/mo (1,000 connections, 30-day retention). Backups run daily plus on-demand. Git-push deploys with live build logs for the app side.
Trade-offs, honestly: no database branching — Neon is simply better if copy-on-write preview databases are core to your workflow. Free-tier databases get a small storage volume, suited to dev and hobby projects rather than heavy production. And we're a newer platform; the ecosystem is still growing compared to the incumbents above.
Pick it when: you want the app and the database on one platform with a bill you can predict without a calculator.
How I'd decide
- Branching and preview environments are your workflow → stay on Neon, or look at Supabase's branching. That feature is genuinely hard to replicate.
- You want a full backend, not just a database → Supabase.
- You're AWS-native or compliance-bound → RDS/Aurora.
- You want Postgres run by Postgres people, on dedicated instances → Crunchy Bridge.
- You want app + database together with flat pricing → Railway or PandaStack, depending on whether usage-based or flat monthly fits your budgeting.
One last practical note: whichever provider you pick, run a restore from backup before you migrate production. Retention windows in a pricing table mean nothing until you've watched a restore actually complete.
If the app-plus-database-on-one-platform model fits how you work, you can see how it feels at [pandastack.io](https://pandastack.io).