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Automation Integration · head to head

Mage AI vs PlanetScale

Mage AI logo

Mage AI

Automation Integration

Data pipeline platform with AI-generated workflows and governance

From
$100/month
Rated
-
Full reviewWebsite
PlanetScale logo

PlanetScale

Databases

The MySQL-compatible serverless database

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only PlanetScale has a free tier, so it costs nothing to try first.
  • Each has a real cost: Mage AI usage-based pricing lacks transparency for cost forecasting; PlanetScale pricing varies significantly across 17+ AWS and GCP regions
  • They diverge on capability: Mage AI covers AI-generated workflows, PlanetScale covers Database Branching.

Where they differ

Only the attributes on which Mage AI and PlanetScale actually diverge.

Attributes where Mage AI and PlanetScale differ
AttributeMage AIPlanetScale
Starting price$100/monthFree
Pricing modelUsage-based cloud platformusage-based
Free tierNoYes
PlatformsCloud, Hybrid, Private Cloud, On-PremisesCloud-hosted (AWS, GCP, Azure)
CategoryAutomation IntegrationDatabases
FoundedUnknown2018

Identical on both: 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 Mage AI

  • AI-generated workflows
  • Pipeline building
  • Data validation
  • Workflow orchestration
  • Automatic recovery
  • Reusable components
  • Governance controls

Only in PlanetScale

  • Database Branching
  • Non-blocking Schema Changes
  • Insights
  • Horizontal Scaling
  • Connection Pooling
  • Query Caching
  • Automatic Backups
  • Global Replication

What people use each for

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

Mage AI

  • Building and orchestrating data pipelines with visual interfacenot PlanetScale
  • Automating ETL workflows with AI assistancenot PlanetScale
  • Validating data quality across transformationsnot PlanetScale
  • Distributing transformed data to multiple destinationsnot PlanetScale

PlanetScale

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

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Mage AI

  • Usage-based pricing lacks transparency for cost forecasting
  • Limited standalone pricing details on website
  • Requires contact for enterprise deployment options
  • Smaller ecosystem compared to established competitors
  • May require significant customization for complex data models

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

Pricing, plan by plan

Mage AI

$100/month
  • Cloud$100/month
    • 1 development environment
    • Unlimited users
    • Usage-based infrastructure pricing
  • Hybrid Cloud$null/custom
    • Private data processing
    • Custom infrastructure
    • Contact sales
  • Private Cloud$null/custom
    • Complete isolation
    • Full infrastructure control
    • Contact sales
  • On-Premises$null/custom
    • Full local control
    • Enterprise deployment
    • Contact sales

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

Which should you pick?

Choose Mage AI if

  • You need ai-generated workflows.
  • You work on Cloud, Hybrid, Private Cloud, On-Premises.
  • You also want pipeline building.
Mage AI review

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.
PlanetScale review

Questions people ask

Is Mage AI or PlanetScale better?
Neither clearly leads. Mage AI starts at $100/month and PlanetScale at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Mage AI or PlanetScale?
PlanetScale has a free tier; the other does not. Paid plans start at $100/month for Mage AI and Free for PlanetScale.
Does Mage AI or PlanetScale run on more platforms?
Mage AI runs on Cloud, Hybrid, Private Cloud, On-Premises. PlanetScale runs on Cloud-hosted (AWS, GCP, Azure).
Can I use PlanetScale for free?
Yes. PlanetScale has a free tier, so you can try it without paying. Mage AI starts at $100/month.
What is Mage AI best used for?
Mage AI is most often used for building and orchestrating data pipelines with visual interface, automating etl workflows with ai assistance, validating data quality across transformations, distributing transformed data to multiple destinations. Of those, building and orchestrating data pipelines with visual interface and automating etl workflows with ai assistance are not what PlanetScale is typically brought in for.
What can Mage AI do that PlanetScale cannot?
Mage AI covers AI-generated workflows, Pipeline building, Data validation, Workflow orchestration. PlanetScale covers Database Branching, Non-blocking Schema Changes, Insights, Horizontal Scaling.

Answered from the vendors’ own pages

Mage AI: What is the starting price for Mage Cloud?

Cloud plan starts at $100/month for one development environment with unlimited users, plus usage-based compute charges.

Source
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
Mage AI: How is compute usage billed on Mage?

CPU is charged at $0.50 per hour and RAM at $0.50 per 4GB per hour of utilization.

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
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
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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