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Databases comparison · 2026
PlanetScale (87) and MongoDB Atlas (84) are closely matched — this is one of the tightest Databases comparisons in our database, with just 3 points separating them overall. The two are closest on Reliability, where the gap is just 0 points. Both offer a free tier, making either a low-risk starting point. Use the radar chart and dimension table below to find which fits your specific priorities best.
PlanetScale
Serverless MySQL with database branching
87/100
MongoDB Atlas
The managed cloud version of the leading NoSQL database
84/100
Radar comparison
PlanetScale
87
MongoDB Atlas
84
Developer UX
Branching, migrations, dashboard, and local dev experience.
Performance
Query latency and connection handling at scale.
Scalability
Auto-scaling, read replicas, and serverless scale-to-zero.
Price / Value
Free tier generosity and cost at production scale.
Reliability
Backups, point-in-time recovery, and uptime SLA.
Ecosystem
ORM support, extensions, and integration breadth.
Overall Score
Based on our independent scoring across 6 dimensions, PlanetScale scores 87/100 overall versus MongoDB Atlas's 84/100 — a 3-point margin. PlanetScale leads on Scalability in particular. That said, MongoDB Atlas may still be the right choice if the dimensions where it scores higher match your specific priorities — the radar chart above shows the full profile side by side.
Both PlanetScale and MongoDB Atlas offer a free tier, so entry-level cost is not a differentiating factor. Compare the feature and usage limits of each free plan to see which gives you more headroom before a paid upgrade is needed.
PlanetScale scores higher on Developer UX — 90/100 versus 82/100 for MongoDB Atlas. If developer ux is your primary decision criterion, PlanetScale is the stronger choice in this head-to-head.
Switching between databases tools is generally possible but involves migration effort: exporting your data or configuration from PlanetScale, re-importing or reconfiguring in MongoDB Atlas, and updating any API integrations or environment variables in your codebase. The effort scales with how deeply embedded the tool is in your stack. Test MongoDB Atlas on a non-production project first before migrating.
PlanetScale (87/100) is the better fit for teams who prioritise scalability — its strongest dimension — and who want a free entry point. MongoDB Atlas (84/100) is the better fit for teams who prioritise scalability and want a free entry point. If both dimensions matter equally, the overall score winner (PlanetScale) is the safer default choice.
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