Databases · head to head
PlanetScale vs Postgres
The short version
- Each has a real cost: PlanetScale pricing varies significantly across 17+ AWS and GCP regions; Postgres each major version is supported for only 5 years after its initial release, after which it is end-of-life
- They diverge on capability: PlanetScale covers Database Branching, Postgres covers ACID compliance.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which PlanetScale and Postgres actually diverge.
| Attribute | PlanetScale | Postgres |
|---|---|---|
| Pricing model | usage-based | open-source |
| Platforms | Cloud-hosted (AWS, GCP, Azure) | Linux, Windows, Macos, Docker |
| Category | Databases | Technology |
| Founded | 2018 | 1996 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in PlanetScale
- Database Branching
- Non-blocking Schema Changes
- Insights
- Horizontal Scaling
- Connection Pooling
- Query Caching
- Automatic Backups
- Global Replication
Only in Postgres
- ACID compliance
- Complex queries
- Foreign keys
- Triggers
- Views
- Stored procedures
- JSON/JSONB support
- Full-text search
Both cover
- Node.js
What people use each for
The jobs each tool is most often brought in to do.
PlanetScale
- MySQL-compatible applications requiring horizontal scalingnot Postgres
- PostgreSQL deployments with custom cluster configurationsnot Postgres
- Multi-region database deployments on AWS or GCPnot Postgres
- Applications requiring transparent sharding via Vitessnot Postgres
Postgres
- Running a general purpose relational database for applicationsnot PlanetScale
- Self-hosting an open source SQL database with no licence feenot PlanetScale
- Workloads needing extensions, JSON and full text search in one enginenot PlanetScale
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
PlanetScale
- Pricing varies significantly across 17+ AWS and GCP regions
- Additional costs for EBS storage beyond base tier, backup storage, and egress
- Dedicated PgBouncer and replicas incur separate charges
- Metal tier pricing increases sharply with larger configurations
Postgres
- Each major version is supported for only 5 years after its initial release, after which it is end-of-life
- Major version upgrades break on-disk compatibility and require a full dump and reload or the pg_upgrade tool
- New major versions ship about once a year, so staying supported means a disruptive upgrade cycle
- Minor releases contain only frequently-encountered bug fixes, low-risk fixes, security issues and data corruption fixes, so feature gaps are not addressed within a major version
- There is no vendor SLA; commercial support must be bought separately from third party professional services listed by the project
Pricing, plan by plan
PlanetScale
Free- Postgres EBS Single-Node (ARM64 PS-5)$5/month
- 512 MiB RAM
- Single-node configuration
- EBS storage included
- Postgres EBS HA (ARM64 PS-5)$15/month
- 512 MiB RAM
- 3-node high-availability setup
- 1 primary + 2 replicas
- Postgres Metal (M-10)$50/month
- 1/8 vCPU, 1 GiB RAM
- 3-node HA configuration
- 10 GiB NVMe storage included
- Vitess Non-Metal 3-Node$39/month
- Sharding-capable database
- x86-64 architecture
- 3-node configuration
Postgres
Free- Community EditionFree
- Full database features
- No limitations
- Community support
Which should you pick?
Choose PlanetScale if
- You need database branching.
- You want to start without paying.
- You work on Cloud-hosted (AWS, GCP, Azure).
- You also want non-blocking schema changes.
Choose Postgres if
- You need acid compliance.
- You want to start without paying.
- You work on Linux, Windows, Macos, Docker.
- You also want complex queries.
Questions people ask
- Is PlanetScale or Postgres better?
- Neither clearly leads. PlanetScale starts at Free and Postgres at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, PlanetScale or Postgres?
- PlanetScale starts at Free and Postgres at Free.
- Does PlanetScale or Postgres run on more platforms?
- PlanetScale runs on Cloud-hosted (AWS, GCP, Azure). Postgres runs on Linux, Windows, Macos, Docker.
- Can I use PlanetScale for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is PlanetScale best used for?
- PlanetScale is most often used for mysql-compatible applications requiring horizontal scaling, postgresql deployments with custom cluster configurations, multi-region database deployments on aws or gcp, applications requiring transparent sharding via vitess. Of those, mysql-compatible applications requiring horizontal scaling and postgresql deployments with custom cluster configurations are not what Postgres is typically brought in for.
- What can PlanetScale do that Postgres cannot?
- PlanetScale covers Database Branching, Non-blocking Schema Changes, Insights, Horizontal Scaling. Postgres covers ACID compliance, Complex queries, Foreign keys, Triggers. Both handle Node.js.
Answered from the vendors’ own pages
PlanetScale: How much does a PlanetScale Postgres database cost per month?
PlanetScale Postgres pricing starts at $5/month for single-node ARM64 configurations with 512 MiB RAM and $15/month for the same specs in high-availability mode with 1 primary and 2 replicas. Metal tier starts at $50/month for M-10 configuration (1/8 vCPU, 1 GiB RAM). Exact pricing depends on cluster size, node architecture (ARM64 vs x86-64), storage configuration, and selected AWS/GCP region.
SourcePostgres: How much does PostgreSQL cost to use?
PostgreSQL is completely free to download, install, and use. No licensing fees, subscription costs, or per-seat charges apply. The database is open source under the PostgreSQL License. Source: https://www.postgresql.org
SourcePlanetScale: Is there a free tier for PlanetScale?
PlanetScale offers a free tier for development and testing workloads. After free tier limits are reached, usage-based pricing applies starting at $5/month for the smallest Postgres single-node configuration, with costs scaling based on cluster size, compute, storage, and additional features like dedicated PgBouncer or replicas.
SourcePostgres: Are there commercial PostgreSQL support options available?
Official PostgreSQL (the project) is free. Commercial PostgreSQL services such as hosting, professional support, training, and managed database services are offered by third-party vendors, not the PostgreSQL project itself. Source: https://www.postgresql.org
SourcePlanetScale: What is the difference between PlanetScale ARM64 and x86-64 pricing?
ARM64 instances cost significantly less than x86-64 equivalents. For example, a Postgres EBS HA cluster with 512 MiB RAM costs $15/month on ARM64 but $39/month on x86-64. This pricing difference extends across all cluster sizes, with larger x86-64 configurations reaching up to $5,599/month compared to ARM64 alternatives.
SourcePostgres: Do I need a license to use PostgreSQL commercially?
No. PostgreSQL is open source under the PostgreSQL License, which permits free commercial use without royalties, licensing fees, or support obligations. Source: https://www.postgresql.org
SourcePlanetScale: What is included in a PlanetScale cluster price versus additional costs?
The advertised cluster price covers the base compute and configured storage. Additional charges apply for EBS storage beyond the base allocation, backup storage, data egress, optional dedicated PgBouncer connections, and replicas beyond the base high-availability configuration. Regional pricing varies across 17+ AWS and GCP zones.
SourceRelated pages
More on PlanetScale
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- Postgres vs IBM Db2
- Postgres vs Instaclustr
- Postgres vs Knack
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- Postgres vs Marqo
- Postgres vs DynamoDB
- Postgres vs Linear
- Postgres vs Asana
- Postgres vs ClickUp
- Postgres vs Figma
- Postgres vs Supabase
- Postgres vs Redis
- Postgres vs Aha!
- Postgres vs Eclipse
- Postgres vs Excalidraw
- Postgres vs MongoDB
- Postgres vs Okta
- Postgres vs Notion
- Postgres vs Close
- Postgres vs Coda
- Postgres vs Drift
- Postgres vs JetBrains IntelliJ IDEA
- Postgres vs LogRocket
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