ClickHouse 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.
| ClickHouse | MongoDB Atlas | |
|---|---|---|
| Starts at | Custom | $0/mo |
| Number of plans | 3 | 3 |
| Free plan | — | |
| Free trial | — | |
| Pricing model | usage-based | usage-based |
Basic
- Up to 1 TB storage
- 8-12 GiB total memory
- Backups every 24h, retained for 1 day
- 1 availability zone
- Export backups to your own cloud account
- Expert support with 1 business day response time
- Single sign-on authentication (SSO) using Google or Microsoft Social login
- Multi-factor authentication (MFA)
Scale
- Unlimited storage
- Configurable memory
- Compute-compute separation
- Backups every 24h, retained for 1 day
- Configurable backups
- 2+ availability zones
- Expert support with 1 hour response time 24x7 for Severity 1 issues
- S3 role-based access
- Private networking
- Automatic vertical scaling
- Manual horizontal scaling
Enterprise
- SAML Single sign-on authentication (SSO)
- Private regions
- Manual vertical scaling for custom profiles
- Enterprise support with 30 min response time for Severity 1 issues
- Named Lead Support Engineer
- Transparent data encryption / CMEK
- Scheduled upgrades
- Consultative migrations guides
- HIPAA and PCI compliance
Free
- 512MB of storage
- Shared RAM
- Shared vCPU
Flex
- 5GB of storage
- Shared RAM
- Shared vCPU
Dedicated
Popular- 10GB to 4TB of storage
- 2GB to 768GB RAM
- 2vCPUs to 96vCPUs
ClickHouse 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?
- MongoDB Atlas has a free plan. ClickHouse doesn't — though they do offer a free trial.
- 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. ClickHouse: ClickHouse is going after the high-performance OLAP segment — think Snowflake and BigQuery alternatives for teams that care deeply about query speed on large datasets. The pricing is competitive for raw compute but the multi-dimensional billing (compute + storage + egress + ingestion) can stack up fast, positioning them as a serious tool for data-heavy teams rather than a budget play. 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.
Still deciding? See the best ClickHouse alternatives or the best MongoDB Atlas alternatives, ranked with verified pricing.
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