Hetzner
How the 9 leading AI models rank Hetzner in Postgres hosting providers.
How each AI ranks it
average position · verbatim answers kept
Clauderead the answer12th
Based on current market data, here's a breakdown of the top PostgreSQL hosting options, organized by what they're best for:
Big Cloud Providers (best for enterprise/production scale)
- AWS RDS / Aurora – Amazon RDS remains a flexible choice for teams already building directly on AWS. It's the go-to for teams wanting extensive configuration options and AWS-native integration, though it comes with more setup complexity.
- Google Cloud SQL / AlloyDB – A solid choice for production workloads on native Postgres with strong SLAs.
- Azure Database for PostgreSQL – Frequently listed alongside AWS/Google as a top enterprise-grade option for teams already in the Azure ecosystem.
Serverless / Developer-First Postgres (fastest-growing category)
- Neon – The most commonly recommended serverless option. It offers serverless PostgreSQL with automatic scale-to-zero and database branching, and is well suited for variable workloads and development environments. Serverless providers like Neon have made PostgreSQL hosting dramatically more cost-effective for variable workloads.
- Supabase – The other major name people actually use, especially for full-stack apps. It bundles PostgreSQL with authentication, real-time subscriptions, and auto-generated APIs, making it a great choice if you want Postgres plus auth, storage, and realtime in one product.
Platform-as-a-Service Style (app + database together)
- Render – Offers managed PostgreSQL with simple setup, for developers wanting straightforward database hosting.
- Railway – Good if you want app and Postgres on the same deploy platform and are comfortable owning more database operations.
- DigitalOcean Managed Databases – Popular for its predictable monthly pricing, for teams already using DigitalOcean infrastructure.
Postgres Specialists (strong ops/performance focus)
- Crunchy Bridge – A well-regarded dedicated Postgres hosting company, often benchmarked directly against newer entrants for raw transactional performance.
- Aiven – Best if you want multi-cloud flexibility; choose Aiven if you need multi-cloud flexibility or want to avoid lock-in to a single cloud provider.
- Tiger Cloud (Timescale) – Notable for time-series/analytics-heavy Postgres workloads.
Self-Hosted / Budget Option
For teams with ops expertise, self-hosting on Hetzner is a strong option if your team has ops expertise, your managed database bill exceeds $150/month, and you want maximum performance per dollar.
Bottom line recommendation
If you just want the two names that come up most consistently across nearly every comparison: for most developers and startups, Neon or Supabase will be the right starting point. Neon if you want pure serverless
Grokread the answer12th
Neon, Supabase, AWS RDS (including Aurora), and DigitalOcean stand out as the most commonly recommended and used Postgres hosting options in 2026.
These providers appear repeatedly across comparisons for their balance of features, pricing, developer experience (DX), scalability, and real-world adoption. There is no universal “best”—choices depend on workload (e.g., variable vs. steady traffic), existing cloud commitments, need for extras like auth/realtime, budget predictability, and scale.
Top Recommendations
Here are the leading options, grouped by typical use case, based on recent analyses:
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Neon (serverless Postgres with branching): Excellent for development, preview environments, variable/spiky workloads, and AI-native or indie projects. Key strengths include true scale-to-zero (compute pauses when idle), instant database branching (copy-on-write for per-PR or test DBs), built-in connection pooling, and a generous free tier (e.g., 0.5 GB storage + compute hours). Pricing is usage-based (compute hours + storage). It runs real Postgres and is popular for modern DX. Trade-offs include potential cold starts and less emphasis on traditional enterprise HA features.
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Supabase (Postgres + backend platform): Ideal for full-stack apps, MVPs, and teams wanting Postgres plus auth, realtime subscriptions, storage, auto-generated APIs, and edge functions (a Firebase-like experience built on real Postgres). Strong free tier and Pro plans (~$25+/mo). It excels in developer productivity and is widely used for rapid app development. Trade-offs: More of a platform than pure DBaaS, with some features plan-dependent.
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AWS RDS for PostgreSQL (and Aurora PostgreSQL-compatible): The most widely adopted managed service, especially for enterprise, production workloads, and AWS-native teams. It offers mature features like automated backups, point-in-time recovery (PITR), Multi-AZ high availability, read replicas, and deep AWS integrations (IAM, CloudWatch, VPC). Aurora adds serverless v2 scaling and strong performance for variable/high-throughput loads. Widely used in production due to reliability and ecosystem. Trade-offs: More complex/expensive pricing and operations compared to specialized providers; best if you're already in AWS.
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DigitalOcean Managed Databases: A strong choice for simplicity, predictable flat pricing, and smaller teams or cost-conscious users. Affordable entry points, straightforward management, and good performance for many workloads. Often praised for “just works” reliability without hyperscaler complexity.
Other Notable Options
- Google Cloud SQL / AlloyDB and Azure Database for PostgreSQL: Solid defaults if your team is committed to GCP or Azure (with strong integrations and HA options).
- Render or Railway: Popular integrated platforms where app deployment and Postgres live together (easy for solo devs or small teams; usage-based or tiered pricing).
- Others (Aiven, Crunchy Bridge, Heroku Postgres, self-hosted on Hetzner/VPS): Useful for multi-cloud flexibility, Postgres purists, or maximum cost control, but less dominant in broad “best of” lists.
Quick Decision Guidance
- Prototyping/MVP or variable traffic — Start with Neon or Supabase free tiers.
- Startup/full-stack app needing extras — Supabase.
- Production/enterprise or AWS shop — AWS RDS/Aurora.
- Predictable costs/simple setup — DigitalOcean or Render.
- Existing cloud lock-in — Match the provider (RDS, Cloud SQL, Azure).
Postgres adoption continues to grow strongly in cloud environments, with managed services driving much of the usage. Always verify current pricing, regions, SLAs, and extension support (e.g., pgvector, PostGIS) on the provider sites, as offerings evolve. Self-hosting remains viable for full control and lowest long-term cost but adds operational overhead.
These recommendations reflect what appears most frequently in 2025–2026 comparisons and usage discussions.
How this is measured
Hetzner’s AI Recommendation Score (13/100) reflects how widely and often the 9 AI models recommend it for Postgres hosting providers: share of voice, mention rate and how early the AI models name it. Cited sources are published as receipts, never as a score input. Every monthly refresh asks each AI model the same buyer question once, and the exact run count behind every edition is published in its JSON record. Placement is determined solely by AI recommendation data; it reflects what AI recommends and is not an endorsement by CiteHawk. Read the full methodology →
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Rankings are computed from AI responses only · Positions are not for sale