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Databases · head to head

PlanetScale vs Serverless Framework

PlanetScale logo

PlanetScale

Databases

The MySQL-compatible serverless database

From
Free
Rated
-
Serverless Framework logo

Serverless Framework

Cloud

Build and deploy serverless applications on AWS Lambda

From
Free
Rated
-

The short version

  • Each has a real cost: PlanetScale pricing varies significantly across 17+ AWS and GCP regions; Serverless Framework exclusive to AWS Lambda - no support for other cloud providers
  • They diverge on capability: PlanetScale covers Database Branching, Serverless Framework covers YAML configuration.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which PlanetScale and Serverless Framework actually diverge.

Attributes where PlanetScale and Serverless Framework differ
AttributePlanetScaleServerless Framework
Pricing modelusage-basedUnknown
PlatformsCloud-hosted (AWS, GCP, Azure)AWS Lambda, AWS API Gateway, AWS CloudFormation
CategoryDatabasesCloud
Founded2018Unknown

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 Serverless Framework

  • YAML configuration
  • Single command deployment
  • Extensible plugin ecosystem
  • Multi-language support
  • Unified dashboard
  • Built-in metrics and alerts

What people use each for

The jobs each tool is most often brought in to do.

PlanetScale

  • MySQL-compatible applications requiring horizontal scalingnot Serverless Framework
  • PostgreSQL deployments with custom cluster configurationsnot Serverless Framework
  • Multi-region database deployments on AWS or GCPnot Serverless Framework
  • Applications requiring transparent sharding via Vitessnot Serverless Framework

Serverless Framework

  • Deploying APIs and microservices to AWS Lambdanot PlanetScale
  • Building event-driven applications with serverless functionsnot PlanetScale
  • Managing multi-language serverless projectsnot 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

Serverless Framework

  • Exclusive to AWS Lambda - no support for other cloud providers
  • Paid tier requires credit system that can be confusing for budgeting
  • Plugin ecosystem quality varies significantly

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

Serverless Framework

Free
  • FreeFree
    • For organizations with under $2M annual revenue
    • All Framework features included
  • Pay-As-You-Go$4/credit
    • 1 credit = 1 Service Instance or 50K Traces or 4M Metrics
    • Standard rate for larger organizations
  • Reserved Credits$1/credit
    • Discounts up to 74% off (1-year), 77% off (2-year), 80% off (3-year)
    • Additional 10% off for upfront payment

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 Serverless Framework if

  • You need yaml configuration.
  • You want to start without paying.
  • You work on AWS Lambda, AWS API Gateway, AWS CloudFormation.
  • You also want single command deployment.

Questions people ask

Is PlanetScale or Serverless Framework better?
Neither clearly leads. PlanetScale starts at Free and Serverless Framework at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, PlanetScale or Serverless Framework?
PlanetScale starts at Free and Serverless Framework at Free.
Does PlanetScale or Serverless Framework run on more platforms?
PlanetScale runs on Cloud-hosted (AWS, GCP, Azure). Serverless Framework runs on AWS Lambda, AWS API Gateway, AWS CloudFormation.
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 Serverless Framework is typically brought in for.
What can PlanetScale do that Serverless Framework cannot?
PlanetScale covers Database Branching, Non-blocking Schema Changes, Insights, Horizontal Scaling. Serverless Framework covers YAML configuration, Single command deployment, Extensible plugin ecosystem, Multi-language support.

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.

Source
Serverless Framework: When do I have to pay for Serverless Framework?

The Serverless Framework CLI v4+ is free for organizations earning under $2 million annually. Organizations earning more must purchase credits at $4 per credit standard rate or reserved credits starting at $1 per credit with volume discounts.

Source
PlanetScale: 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.

Source
Serverless Framework: What cloud providers does Serverless Framework support?

Serverless Framework is exclusive to AWS Lambda. It does not support other cloud providers like Azure or Google Cloud.

Source
PlanetScale: 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.

Source
Serverless Framework: What does one credit cover?

One credit equals 1 Service Instance, 50,000 Traces, or 4 Million Metrics.

Source
PlanetScale: 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.

Source
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