Convex 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.

Convex MongoDB Atlas
Starts at $25/mo $0/mo
Number of plans 3 3
Free plan
Free trial
Pricing model hybrid usage-based

Free & Starter

$0/mo
  • Developers (1-6)
  • File storage
  • Text search
  • Vector search
  • Crons
  • Auth
  • Node.js actions
  • Health & insights dashboard
  • Preview deployments
  • Selectable data region

Professional

Popular
$25/mo
  • Developers (1-20)
  • Log streaming
  • Exception reporting
  • HIPAA/SOC 2 reports
  • Daily backups
  • Custom domains
  • Email support

Business & Enterprise

Custom
  • Developers (50+)
  • SAML/SSO
  • Service SLAs
  • High-scale dedicated deployments
  • Custom MSA
  • Volume pricing

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

Convex vs MongoDB Atlas FAQ

Which one is cheaper?
MongoDB Atlas is the cheaper option, starting at $0/mo vs $25/mo for Convex.
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. Convex uses hybrid pricing, while MongoDB Atlas goes with usage-based. That changes the math depending on your team size and usage.
Which one is a better deal?
Depends on what you need. Convex: At $25/dev/month, Convex is priced aggressively against backend-as-a-service competitors like Firebase or Supabase, positioning itself as the developer-friendly, affordable alternative to rolling your own infra. The $2,500 enterprise floor signals they're not chasing SMBs at scale — they want serious engineering teams willing to pay for reliability. 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.

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