Managed PostgreSQL Hosting Prices Compared: What Is Cheapest in 2026?

The cheapest managed PostgreSQL plan is not necessarily the cheapest database for your application. A small development instance, an always-on primary and a highly available cluster pay for different resources and recovery guarantees.

This comparison keeps those differences visible. It starts around 2 GB RAM and 20–30 GB storage, then considers smaller entry plans, usage-based services and the operational features that change the bill. We operate DanubeData, one of the providers below.

Last reviewed: 2 November 2026. Public prices are linked at the point of comparison and retain their original currency. DanubeData prices exclude VAT; confirm taxes, region and configuration with every provider. There are no performance benchmarks or measured migration times in this article.

Start with comparable resources

Use a reference workload, not a universal minimum: one database primary, around 2 GB RAM, 20–30 GB storage, automated recovery and a chosen EU location. Record whether CPU is shared or dedicated and whether a standby is included. Plans below differ in storage, billing model and recovery; they are not an equivalent-HA ranking.

Sources: DanubeData PostgreSQL, DigitalOcean pricing, Supabase pricing, Neon pricing, RDS pricing, Cloud SQL pricing, Azure pricing, Aiven pricing and Railway pricing.

The DanubeData 2 GB plan is not the €12.99 entry plan: that smaller plan lists 1 GB RAM and 10 GB storage. Replacing a 2 GB comparison row with an advertised entry price would understate the resource difference. The old €19.99/25 GB DanubeData and $22 DigitalOcean rows are not current quotes.

Smaller entry plans are a separate decision

A development database may fit in less memory and storage. That can reduce cost, but it says little about your application's sustained query load, connection count or required recovery window.

• DanubeData's advertised entry is €12.99/month for the listed 1 GB/10 GB plan.
• DigitalOcean's displayed 1 GiB starting configuration is $15.15/month, with a 10–30 GiB storage selector.
• Aiven advertises Free, Developer at $5/month and Hobbyist from $12/month, with 1 GB RAM in those entry rows. Its Free plan does not let you choose a specific cloud or region, so it is not evidence of a guaranteed EU deployment.

Check extension support, backup availability and connection limits before treating any entry tier as production-ready for your workload. Memory requirements depend on active queries, indexes, connections and the data's working set; 2 GB is not a universal production floor.

Usage-based PostgreSQL is not pay per query

Neon: compute hours and branching

Neon is worth evaluating for intermittent workloads and branch-based development. Current Free lists 100 CU-hours and 1 GB storage per project; the old 191-hours/0.5 GB example is obsolete. On Launch, compute and storage are billed separately. An advertised “typical spend” is not your monthly cap.

For an explicit illustration, a 0.5 CU compute running for 730 hours uses 365 CU-hours. At $0.106/CU-hour that is $38.69; 20 GB-month at $0.35 adds $7, for $45.69 before other usage or options. At only 30 CU-hours, the same storage assumption gives $3.18 + $7 = $10.18. These examples use list rates, not a benchmark, prediction or promise of equivalent CPU performance.

Neon defines a CU as 1 vCPU and 4 GB RAM. Scaling, branches, active hours and retention change the actual bill. See the existing Neon alternatives guide for migration trade-offs.

Supabase: a database and backend platform

Supabase includes authentication, APIs, realtime and storage alongside PostgreSQL. Compare the value of that bundle rather than calling its subscription a database-only price.

For one full-month Pro project on Small compute, a rough calculation is $25 + $15 − $10 = $30 before disk and other usage. At 20 GB disk, the 12 GB above the included 8 GB adds $1.50 at the displayed $0.125/GB, giving about $31.50. Actual compute is hourly. Compute credits are shared at organization level, so another project changes the calculation.

Free has different limits and pauses after inactivity. Daily backups and PITR are also different recovery capabilities; quote the one you need. If you depend on more than SQL, use the Supabase alternatives guide to inventory the services you would replace.

Railway: verify the configured database responsibilities

Railway's plan minimum is not a complete database quote. Include memory, CPU, volumes and any enabled database services. The current database documentation describes backups, PITR, pooling and HA options; verify which are enabled and what Railway manages for that configuration. Do not retain the old blanket “manual backups, no EU region” row.

If purchasing PostgreSQL through an application-platform marketplace, identify the underlying provider and its plan. An old standalone “Vercel Postgres” free-tier row should not substitute for the current marketplace offering.

What to look for in managed PostgreSQL

Backups, PITR and availability solve different problems

A daily backup restores a saved point. Point-in-time recovery uses the available backup and WAL history to recover within a defined window. A standby can reduce service interruption after a primary failure, but can also replicate an accidental deletion. Ask for all three requirements separately.

• Backup schedule, retention and whether copies are isolated from the primary's failure domain.
• PITR window, restore prerequisites and whether restoration creates a new instance.
• Standby count, placement and failover behaviour.
• Who initiates recovery, what is included and what costs extra.
• A restore rehearsal using representative data, with a measured recovery point and duration.

Security and compatibility

Require TLS, suitable network controls, least-privilege roles and a supported PostgreSQL major. Inventory extensions and version compatibility before moving. A provider offering a version does not imply every extension is available on it.

DanubeData currently offers PostgreSQL 15–18, with NVMe hosting in Germany, backups/PITR and optional PostGIS and PgBouncer. Confirm any other extension for the chosen version. Optional replicas and pooling are capabilities to configure, not proof that every entry plan includes a particular topology.

Connections and resizing

Check direct and pooled connection limits, memory pressure and behaviour during maintenance. A transaction pooler can help many short-lived clients, but applications using session state or session-level features need compatibility checks. Read the connection-pooling guide or serverless PostgreSQL pooling for the application side.

Ask whether resizing causes a restart, how long it usually takes and which resource changes are reversible. Do not assume adding a replica removes all downtime or that a read replica automatically serves application queries.

Where the providers fit

• AWS RDS, Cloud SQL and Azure: worth considering when application networking, identity or other cloud dependencies are already there. Build the regional quote with the chosen edition, storage, backup and availability options.
• DigitalOcean: a published resource ladder makes initial budgeting easier. Add nodes and storage before comparing a production topology.
• Aiven: compare the cloud/region and recovery topology you intend to buy; a small development offer is not the same service shape as a multi-node plan.
• Neon: useful when branching and scaling active compute are valuable. Model continuous load as well as idle periods.
• Supabase: useful when its backend services remove work beyond database operations.
• Railway: useful to compare when application and database workflows share the platform; verify responsibilities and enabled protection.
• DanubeData: a candidate for PostgreSQL in Germany alongside compute, caches and storage; confirm plan capacity, extensions and recovery needs.

Annual budgets without mixing unlike plans

Multiplying a monthly plan by twelve is useful only if the resources remain suitable. These base-price examples retain capacity differences and original currency:

These are not equivalent CPU/HA/backup quotes or tax-inclusive bills. Extra storage, replicas, traffic and options must be added. We have not converted currencies or ranked the totals. For usage-based services, apply expected active hours and growth to the rate model instead of annualizing a marketing “typical” figure.

Migration preflight before changing provider

1. Record source major version, extensions, roles, privileges, encodings, database size and peak write rate.
2. Confirm destination compatibility, available capacity, TLS and whether the chosen connection is direct or pooled.
3. Rehearse the transfer in an isolated database. Validate schema, row counts, sequences, roles and application reads and writes.
4. Measure transfer time and define the final write-freeze or replication catch-up procedure.
5. Keep the source intact until verification. Once the destination accepts writes, rollback requires a data-reconciliation plan, not only a connection-string change.
6. Rehearse a destination backup restore and record the recovery outcome.

The existing AWS RDS migration guide covers the outbound migration path. Provider tooling has prerequisites: Aiven's migration documentation, for example, distinguishes replication and dump-based approaches. This article does not claim a tested zero-downtime transfer.

Frequently asked questions

Which is the cheapest for production?

Price the resources and protection you need in the region you will use. The lowest advertised development tier and a resilient production cluster are different purchases. There is no universal winner from the base prices alone.

Is self-hosting cheaper?

A VPS may cost less than a managed database plan, but you take responsibility for upgrades, monitoring, backup integrity and incident recovery. Compare the full operating work and risks, not just server rental.

Which free tier should I use?

Choose by capacity, region controls, inactivity behaviour and workflow. Free quotas change and do not establish that a service can meet your production recovery requirements.

Is an EU region enough for every privacy requirement?

Check logs, backups, support access, subprocessors, retention and your application integrations as well as the primary's region. Hosting location alone does not establish legal compliance.

Review DanubeData PostgreSQL versions, recovery options and plans, then confirm the configuration that fits your workload before migrating.

Continue with a practical guide

• PostgreSQL 14 End of Life: A Practical Upgrade Guide