MongoDB Atlas vs MotherDuck 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 MotherDuck
Starts at $0/mo $250/mo
Number of plans 3 3
Free plan
Free trial
Pricing model usage-based hybrid

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

Lite

$0/mo
  • Up to 3 internal active users and 2 service accounts
  • 10 GB free storage
  • 10 hrs Pulse compute per month included
  • Pulse instances only
  • Role-based access control (preset roles)
  • Community support

Business

Popular
$250/mo
  • Up to 10 internal active users and unlimited service accounts
  • 5 instance types and read-scaling replicas
  • Flights: agent-native data pipelines
  • 90-day snapshot retention
  • Query history
  • Role-based access control (preset roles)
  • Support from MotherDuck experts
  • 99.9% availability SLA

Enterprise

Custom
  • Unlimited internal active users and service accounts
  • Fixed-cost capacity pricing
  • AWS PrivateLink connectivity
  • Role-based access control (custom roles)
  • HIPAA BAA

MongoDB Atlas vs MotherDuck FAQ

Which one is cheaper?
MongoDB Atlas starts lower at $0/mo, compared to $250/mo for MotherDuck.
Can I use either one for free?
Both offer free plans, so you can try each without paying. Start with whichever fits your workflow better and upgrade when you hit the limits.
How do they charge?
Different approach here. MongoDB Atlas uses usage-based pricing, while MotherDuck goes with hybrid. That changes the math depending on your team size and usage.
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. MotherDuck: Positioned as a cost-efficient alternative to Snowflake and BigQuery for teams that don't need a full data warehouse — the $250 base is approachable, but the compute rates (especially Jumbo and above) put it in mid-market territory. They're clearly targeting data-savvy startups and mid-size teams who want DuckDB's speed without managing infrastructure themselves.

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