Head to head
Neon vs MongoDB Atlas
Both platforms are scored with the same methodology and the same category rubric. Nothing on this page is influenced by advertising.
54/100Higher score | 51/100 | |
|---|---|---|
| Category rank | #6 | #7 |
| Confidence | High confidence | High confidence |
| External Reputation | 78 | 86 |
| AI Authority | 42 | 27 |
| Web Authority | 25 | 18 |
| Expert Assessment | 64 | 62 |
| TOP10 User Score | — | — |
| Pricing | Launch: no monthly minimum — compute $0.106/CU-hour, storage $0.35/GB-month · free tier: Free plan is permanent, no credit card: 100 projects, 10 branches/project, 100 CU-hours/project, autoscaling to 2 CU (8 GB RAM), scale to zero after 5 min, 0.5 GB storage/project, 6-hour history window, 1 manual snapshot, 5 GB egress, up to 60k Auth MAU, community support; hitting any monthly limit suspends compute until next billing month | 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 | Usage-based (pay-as-you-go, metered hourly) with a permanent free tier | Usage-based with tiered cluster sizes (free tier available) |
| Best for | Teams running many short-lived, mostly-idle Postgres databases — preview environments, per-PR branches, per-customer sandboxes — and startups or AI/agent builders with spiky load who want Postgres plus pgvector with no seat costs and no monthly minimum. | 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 run latency-critical low-traffic production apps (cold starts), steady-state high-utilisation workloads where there is no idle to reclaim at $0.222/CU-hour, need compliance or an SLA below the Scale tier, need more than 56 CU / 224 GB RAM, or must commit to a hard fixed monthly budget. | 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 | Startups, SMB, Developers, Agencies, Enterprise (Scale plan), AI/agent platforms | SMB, Mid-Market, Enterprise, Startups, Developer teams |
| Founded | 2021 | — |
| Headquarters | Menlo Park, California, United States | — |
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.