
5 AWS RDS Postgres Alternatives in 2026
Jonas ScholzAWS RDS for PostgreSQL is a safe enterprise choice, but it is not always the best choice for small teams. The configuration surface is large, pricing has many dimensions, and the product makes the most sense inside an AWS-native stack.
Here are five AWS RDS Postgres alternatives for 2026.
Quick comparison
| Provider | Region angle | Pricing shape | Best for | Watch out for |
|---|---|---|---|---|
| Sliplane Managed Postgres | Germany, US, Finland, Singapore | Starts at 19 EUR/month, 10 GB included | Small teams that want boring Postgres done well | No built-in auth/realtime layer or serverless branching |
| IONOS Cloud PostgreSQL | IONOS Cloud locations, including Germany | Usage-based by core, RAM, storage, and backup | Teams forced into IONOS by procurement | Poor UX/support fit; legacy-feeling cloud workflow |
| Google Cloud SQL for PostgreSQL | Google Cloud regions, including Frankfurt | Usage-based across instance, storage, backups, and networking | Teams already deep in Google Cloud | Great but expensive outside the GCP ecosystem |
| Azure Database for PostgreSQL | Azure regions, including Germany North and Germany West Central | Hourly compute, storage, backup storage, and network egress | Teams already deep in Azure | Great but expensive outside the Azure ecosystem |
| Crunchy Bridge | Cloud-agnostic public cloud deployment | Pay-as-you-go by minute; backups and egress included | Teams that want Postgres specialist support | Specialist database product, not app platform |
1. Sliplane Managed Postgres
Sliplane Managed Postgres is managed PostgreSQL for teams that want boring production Postgres done well.
Sliplane is a German company based in Berlin. Managed Postgres is available in Germany, the US, Finland, and Singapore. Every database includes automated point-in-time recovery, SSL by default, automatic security updates, built-in metrics and logs, free egress, API access, and the first 10 GB of storage.
Pricing starts at 19 EUR/month, excluding tax, for the Starter tier in Germany. That gives you 1 vCPU, 1 GB RAM, and 10 GB included storage. You can resize without downtime, so the normal path is: start small, watch the database, then scale when you actually need it.
The Postgres product is deliberately focused. It is for teams that want the database basics to be excellent: backups, restores, SSL, monitoring, predictable pricing, no egress surprise, zero-downtime resizes, and a short path from "create database" to "ship the app".
Use Sliplane if:
- you want boring production Postgres without running database ops.
- you want PITR, SSL, metrics, logs, and egress included on every tier.
- you want predictable pricing without hyperscaler billing details.
- you already run apps on Sliplane or want app hosting and databases close together.
Skip it if:
- you want Supabase-style auth, storage, realtime, and generated APIs.
- you specifically need serverless branching or scale-to-zero.
- you need a large enterprise database platform with every possible knob.
2. IONOS Cloud PostgreSQL
IONOS Cloud PostgreSQL is IONOS Cloud's Database as a Service for PostgreSQL. It has real managed-database features: multi-node high availability, TLS, private LAN support, daily base backups, point-in-time recovery, restores, service monitoring, API access, Terraform, and Ansible integration.
The problem is not the checkbox list. The problem is the experience around it. IONOS feels like an infrastructure cloud first and a modern developer product second. The pricing model is component-based, the console workflow is heavier than most small app teams want, and seeing HDD still show up as a storage option in 2026 tells you a lot about the product posture.
IONOS can make sense when you are forced into IONOS by procurement, vendor policy, or an existing German cloud commitment. If you are choosing freely, it is hard to recommend over smoother managed Postgres options.
Consider IONOS if:
- your company already buys from IONOS and procurement prefers that vendor.
- you need a German infrastructure-cloud supplier.
- your team is comfortable with heavier cloud-console workflows.
Skip it if:
- you are free to choose the best developer experience.
- you want simple managed Postgres for an app team.
- rough UX or support would slow your team down.
3. Google Cloud SQL for PostgreSQL
Google Cloud SQL for PostgreSQL is Google's managed PostgreSQL service. It is a strong product when your app is already built around Google Cloud.
The good parts are exactly what you would expect from GCP: integration with Cloud Run, GKE, Compute Engine, IAM, VPC networking, monitoring, backups, read replicas, maintenance controls, and the broader Google Cloud ecosystem.
The catch is cost and ecosystem fit. Cloud SQL is good, but expensive enough that it rarely makes sense as a standalone Postgres choice. If you are not already in the GCP ecosystem, you pay for a lot of cloud-platform complexity without getting much benefit from it.
Use Google Cloud SQL if:
- your app stack is already Google Cloud-native.
- you need GCP IAM, networking, monitoring, or compliance integration.
- your team is comfortable with Google Cloud operations.
Skip it if:
- you only need managed Postgres for a normal app.
- you are not already committed to GCP.
- you want predictable startup-friendly pricing.
4. Azure Database for PostgreSQL
Azure Database for PostgreSQL is Microsoft's managed PostgreSQL service. It is a good fit when the rest of the company already runs on Azure.
Azure gives you the expected enterprise-cloud shape: regions, private networking, Microsoft identity integration, monitoring, backup configuration, scaling controls, availability options, and a procurement path many larger organizations already understand.
Like Google Cloud SQL, the question is not whether Azure Database for PostgreSQL is capable. It is. The question is whether you actually need Azure. If you are not already in the Microsoft/Azure ecosystem, the cost and platform complexity are hard to justify for ordinary app Postgres.
Use Azure Database for PostgreSQL if:
- your company is already Azure-native.
- Microsoft identity, networking, procurement, or compliance integration matters.
- your team has Azure operations experience.
Skip it if:
- you just need a straightforward managed Postgres database.
- Azure is not already part of your infrastructure.
- you want a simpler developer-facing product.
5. Crunchy Bridge
Crunchy Bridge is fully managed Postgres from Crunchy Data, a company with deep Postgres credibility.
The pitch is database specialist, not app platform. Crunchy Bridge is interesting when you want expert Postgres support, serious database features, PostGIS/extensions, high availability options, read replicas, private networking, and a provider that thinks primarily in Postgres terms.
Without a strong firsthand product signal, Crunchy Bridge is best treated as a specialist option to evaluate when support quality and Postgres depth are more important than a simple app-deployment workflow.
Use Crunchy Bridge if:
- you want Postgres specialists.
- support quality and database depth matter.
- your team wants a database-first product, not an app platform.
Skip it if:
- you want managed Postgres next to app hosting.
- you are optimizing for the simplest small-team workflow.
- you want a provider headquartered in Germany.
Which provider should you choose?
| If you care most about... | Pick |
|---|---|
| Simple German managed Postgres | Sliplane |
| Forced IONOS procurement or vendor policy | IONOS |
| Google Cloud-native teams | Google Cloud SQL |
| Microsoft/Azure-native teams | Azure Database for PostgreSQL |
| Postgres expert support | Crunchy Bridge |
RDS is still a strong choice if you already live in AWS. The alternatives are better when your real need is simpler operations, EU/German vendor fit, or database-specialist support.
For small app teams, Sliplane removes a lot of the RDS setup weight while keeping the operational basics included.
Do not choose RDS just because it feels default. Choose it because your app, team, and cost model actually benefit from AWS.