MongoDB Atlas vs PlanetScale Pricing (2026)

How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.

MongoDB Atlas PlanetScale
Starts at $0/mo Custom
Number of plans 3 2
Free plan
Free trial
Pricing model usage-based usage-based

Free

$0/mo
  • 512MB of storage
  • Shared RAM
  • Shared vCPU

Flex

$0/mo
  • 5GB of storage
  • Shared RAM
  • Shared vCPU

Dedicated

Popular
$0/mo
  • 10GB to 4TB of storage
  • 2GB to 768GB RAM
  • 2vCPUs to 96vCPUs

Base Plan

Custom
  • Single node — Starting at $5/month for development and low-traffic workloads
  • Metal — Starting at $50/month with local NVMe storage for high-performance needs
  • High Availability — 1 primary + 2 replicas across 3 availability zones
  • MySQL-compatible databases with horizontal sharding (Vitess)
  • Instance and VTGate sizes
  • Storage amount — First 10 GB included, and then $0.50 per GB per instance
  • Add-ons — Additional development branch hours, SSO, upgraded support

Enterprise

Custom
  • Bring your own cloud
  • Upgraded support
  • Database expertise
  • Migration assistance
  • Slack-based support
  • More deployment options
  • Business support included
  • Architecture consultation
  • Custom pricing
  • Additional regions

MongoDB Atlas vs PlanetScale FAQ

Which one is cheaper?
One or both use custom pricing, so it depends on your specific needs.
Can I use either one for free?
MongoDB Atlas has a free plan. PlanetScale doesn't — you'll need to pay from day one.
How do they charge?
Both use a usage-based model, so the comparison is straightforward — it comes down to features and limits at each price point.
Which one is a better deal?
Depends on what you need. MongoDB Atlas: Atlas sits in the premium tier of managed databases, competing directly with AWS DocumentDB and Azure Cosmos DB, but leans on MongoDB's native compatibility as a differentiator over cloud-vendor lock-in alternatives. They're not the cheapest option — they're pitching developer experience and ecosystem depth to teams that want to avoid the friction of self-managing MongoDB. PlanetScale: They're threading the needle between managed Postgres commodities (Neon, Supabase) and premium database-as-a-service players (Aurora, AlloyDB) — not the cheapest option, but positioning on performance and MySQL/Postgres flexibility for teams that have outgrown basic managed DBs. The AWS and GCP Marketplace availability signals they're going after cloud-native teams with existing marketplace spend commitments.

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