MongoDB Atlas vs Upstash 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 | Upstash | |
|---|---|---|
| Starts at | $0/mo | $0/mo |
| Number of plans | 4 | 4 |
| Free plan | ||
| Free trial | — | |
| Pricing model | usage-based | hybrid |
Free
Flex
Dedicated
PopularEnterprise Advanced
- 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
Free
- Data Size: 256 MB
- Monthly Bandwidth: 10 GB
- Monthly Commands: 500K
Pay as You Go
Popular- Data Size: 100 GB
- Monthly Bandwidth: Unlimited
- Monthly Commands: Unlimited
Fixed 250MB
- Data Size: 250 MB
- Monthly Bandwidth: 50 GB
- Monthly Commands: Unlimited
Enterprise
- 100K+ commands per second
- Unlimited bandwidth and database count
- Professional support with SLA
- Dedicated resources for isolation
- HIPAA Compliance
MongoDB Atlas vs Upstash FAQ
- Which one is cheaper?
- MongoDB Atlas starts lower at $0/mo, compared to $0/mo for Upstash.
- 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 Upstash 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: 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. Upstash: Upstash undercuts traditional managed Redis/Kafka providers by starting at zero and scaling pennies at a time, making it the low-friction option for developers who hate provisioning capacity upfront. It's trying to win the serverless and edge-first crowd who'd otherwise default to a heavier, always-on hosted database.
Still deciding? See the best MongoDB Atlas alternatives or the best Upstash alternatives, ranked with verified pricing.
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