Head to head
PlanetScale vs MongoDB Atlas
Both platforms are scored with the same methodology and the same category rubric. Nothing on this page is influenced by advertising.
56/100Higher score | 51/100 | |
|---|---|---|
| Category rank | #1 | #7 |
| Confidence | High confidence | High confidence |
| External Reputation | 69 | 86 |
| AI Authority | 52 | 27 |
| Web Authority | 25 | 18 |
| Expert Assessment | 75 | 62 |
| TOP10 User Score | — | — |
| Pricing | $5/month (Postgres PS-5 single node, EBS, us-east-1); $15/month for a 3-AZ HA PS-5 cluster · free tier: None — the vendor confirms the former Developer/Hobby free plan no longer exists and all databases require a paid subscription; there is no free evaluation path | Not published (vendor pricing page could not be retrieved this session); third parties cite Flex from roughly $8/month and dedicated M10 at roughly $0.08/hour (~$57/month) · free tier: M0 free cluster; third-party sources describe 512MB storage with shared RAM and vCPU. Capterra's provider listing records a free version but no free trial. |
| Pricing model | Subscription (per-cluster SKU) plus metered storage, egress and backups | Usage-based with tiered cluster sizes (free tier available) |
| Best for | Engineering teams that want branching-based schema workflows with predictable per-cluster pricing, MySQL shops needing Vitess horizontal sharding without operating it, IOPS-bound workloads suited to Metal NVMe, and enterprises needing the database inside their own AWS/GCP account with PCI via Managed. | Development teams with variable or document-shaped data who value developer velocity and multi-cloud freedom, and teams that want vector and full-text search in the same managed engine as their operational data. |
| Avoid if | You need a free tier or a zero-cost evaluation path, run many production environments (each is a full-price cluster), need Postgres horizontal sharding or read-only regions today, require PCI on a single-tenant deployment, or your procurement process demands a large verifiable review corpus. | You are on a fixed budget with no FinOps oversight, are new to databases, are fully committed to one hyperscaler whose native service integrates better, or have genuinely relational, heavily transactional workloads better served by Postgres. |
| Markets | SMB, Startups, Enterprise, Engineering teams | SMB, Mid-Market, Enterprise, Startups, Developer teams |
| Founded | — | — |
| Headquarters | — | — |
A higher TOP SCORE means more of the evidence favours that platform on this methodology — it is not a recommendation, and it does not account for your specific requirements. Advertisers are never declared the winner of a comparison.