MongoDB Atlas vs Hasura
MongoDB Atlas is Managed MongoDB service with auto-scaling, full-text search, and multi-cloud support, while Hasura is Instant GraphQL and REST APIs on Postgres, SQL Server, and other data sources. Hasura is open source and can be self-hosted, giving you full control over your data. MongoDB Atlas is built for teams wanting managed nosql database in the cloud, whereas Hasura targets developers wanting instant graphql apis on their database.
| Feature | MongoDB Atlas | Hasura |
|---|---|---|
| Free tier available | ✓ | ✓ |
| Open source | — | ✓ |
| Auth | — | ✓ |
| Charts | ✓ | — |
| Document DB | ✓ | — |
| GraphQL | — | ✓ |
| Multi-Cloud | ✓ | — |
| Real-Time | — | ✓ |
| Remote Schemas | — | ✓ |
| Search | ✓ | — |
Pricing: Both tools offer free tiers, so you can test each before committing. MongoDB Atlas's free plan: Free M0 cluster. Hasura's free plan: Free for 1 project.
Feature gaps: MongoDB Atlas offers Charts, Document DB and Multi-Cloud that Hasura lacks. Hasura brings Auth, GraphQL and Real-Time that MongoDB Atlas does not have.
Team fit: MongoDB Atlas is geared toward any size teams, while Hasura is aimed at small teams teams. Pick the one that matches where your team is today and where it is headed — migrating tools later is always painful.
Open source: Hasura is open source, meaning you can self-host, audit the code, and avoid vendor lock-in. MongoDB Atlas is proprietary — you are trusting the vendor with your data and uptime.
Where each tool shines: MongoDB Atlas's biggest strengths are: includes document db as a core feature, purpose-built for database workflows. includes search as a core feature, purpose-built for database workflows. Hasura's biggest strengths are: open source and transparent. includes graphql as a core feature, purpose-built for database workflows.
Watch out for: With MongoDB Atlas, users commonly note that free plan exists but key features are locked behind the paid upgrade. With Hasura, the main complaint is that free plan exists but key features are locked behind the paid upgrade.
choose MongoDB Atlas if
- Your profile matches its sweet spot: teams wanting managed nosql database in the cloud
- You specifically need Charts and Document DB
- You care about includes search as a core feature, purpose-built for database workflows
- Your team size fits the any size profile MongoDB Atlas is designed for
- The free tier works for you: free m0 cluster
choose Hasura if
- Your profile matches its sweet spot: developers wanting instant graphql apis on their database
- You need self-hosting, data sovereignty, or the ability to audit source code
- You specifically need Auth and GraphQL
- You care about includes graphql as a core feature, purpose-built for database workflows
- Your team size fits the small teams profile Hasura is designed for
frequently asked
What is the difference between MongoDB Atlas and Hasura?
MongoDB Atlas is Managed MongoDB service with auto-scaling, full-text search, and multi-cloud support, while Hasura is Instant GraphQL and REST APIs on Postgres, SQL Server, and other data sources. Hasura is open source and can be self-hosted, giving you full control over your data. MongoDB Atlas is built for teams wanting managed nosql database in the cloud, whereas Hasura targets developers wanting instant graphql apis on their database.
Should I use MongoDB Atlas or Hasura?
Hasura gives you open source and self-hosting; MongoDB Atlas is a managed service. Which trade-off works for you?
When should I choose MongoDB Atlas over Hasura?
Choose MongoDB Atlas if Your profile matches its sweet spot: teams wanting managed nosql database in the cloud; You specifically need Charts and Document DB; You care about includes search as a core feature, purpose-built for database workflows; Your team size fits the any size profile MongoDB Atlas is designed for; The free tier works for you: free m0 cluster.
When should I choose Hasura over MongoDB Atlas?
Choose Hasura if Your profile matches its sweet spot: developers wanting instant graphql apis on their database; You need self-hosting, data sovereignty, or the ability to audit source code; You specifically need Auth and GraphQL; You care about includes graphql as a core feature, purpose-built for database workflows; Your team size fits the small teams profile Hasura is designed for.
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