Neon vs MongoDB Atlas Pricing (2026)

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

Neon MongoDB Atlas
Starts at Custom $0/mo
Number of plans 3 4
Free plan
Free trial
Pricing model usage-based usage-based

Free

$0/mo
  • 100 projects
  • 100 CU-hrs monthly per project
  • 0.5 GB of storage per project
  • Sizes up to 2 CU (8 GB RAM)
  • Unlimited team members
  • Managed Better Auth
  • 5 GB of Object Storage (Beta)
  • Functions (Beta)

Launch

Popular
Custom
  • 100 projects
  • $0.106 per CU-hr
  • $0.35 per GB-month
  • Sizes up to 16 CU (64 GB RAM)
  • 3-day metrics/logs in UI
  • Managed Better Auth
  • Object Storage (Beta)
  • Functions (Beta)
  • AI Gateway (Beta)

Scale

Custom
  • 1,000+ projects
  • $0.222 per CU-hr
  • $0.35 per GB-month
  • Sizes up to 56 CU (224 GB RAM)
  • SLAs, HIPAA, private network
  • Managed Better Auth
  • Object Storage (Beta)
  • Functions (Beta)
  • AI Gateway (Beta)

Free

$0/mo

Flex

$0/mo

Dedicated

Popular
$0/mo

Enterprise Advanced

Custom
  • MongoDB Enterprise Server
  • Ops Manager and Cloud Manager
  • Kubernetes Operator
  • Enterprise security features
  • Business intelligence integration and visualization
  • Commercial license
  • Self-serve training content
  • Consultative support
  • Fast initial response goals
  • Rich onboarding and regular check-ins

Neon vs MongoDB Atlas 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?
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?
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. Neon: Neon positions itself as the developer-first alternative to RDS or traditional managed Postgres, betting that serverless scaling and instant branching justify a usage-based model over predictable flat pricing. It's not competing on being the cheapest — it's competing on infrastructure elegance for teams building on Postgres who are tired of provisioning fixed instances. MongoDB Atlas: MongoDB sits mid-to-premium in the database-as-a-service space — pricier than raw self-hosted Postgres or DynamoDB's pay-per-request model, but justified by the managed ops layer and document-model flexibility. They're clearly hunting teams who've outgrown free-tier NoSQL options and need something that won't fall over at scale.

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