Posteo vs Proton Mail Comparison
| Feature | ||
|---|---|---|
| Overview | ||
| Rating | 6.1 | 8.5 |
| Pricing |
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| Free tier | Paid only | Limited free tierShow detailsHide details1 GB storage, 1 email address, 150 messages/day, 10 hide-my-email aliases, no custom domain |
| Established | 2009 | 2014 |
| Platforms | Not specified | |
| Privacy | ||
| Jurisdiction | GermanyShow detailsHide detailsPosteo e.K. (a registered sole proprietorship), Methfesselstr. 38, 10965 Berlin. Registered at the Handelsregister Berlin-Charlottenburg, HRA 47592 B. Founded and owned by Patrik and Sabrina Löhr, self-financed with no external investors or debt. | SwitzerlandShow detailsHide detailsProton AG, Route de la Galaise 32, 1228 Plan-les-Ouates, Geneva. Since June 2024 the primary shareholder is the non-profit Proton Foundation, also based in Geneva. Proton Europe sàrl (Luxembourg) is the designated EU GDPR representative. |
| Independent security audit | Cure53 2017Show audit detailsHide audit detailsPosteo web application, including Calendar and Notes (a separate, earlier Cure53 test in April 2015 covered Crypto Mail Storage specifically) | Securitum 2021Show audit detailsHide audit detailsSource-code security audit of the redesigned Proton Mail web client and Proton Calendar, prior to release |
| Source code | Partly open source | Fully open source |
| Zero-access encryption | Yes | Yes |
| Intra-provider E2EE | No | Yes |
| External PGP | Native | Manual import |
| Past data breach | No | No |
| Telemetry | No telemetry | On unless you opt out |
| Features | ||
| Hosting | Cloud | Cloud |
| Custom domain support | No | Yes |
| Aliases | Limited | Unlimited |
| Anti-spam approach | Described by Posteo only as a 'highly efficient spam and virus filter' — no further technical methodology is publicly documented. | PhishGuard flags spoofing and phishing using sender authentication (SPF/DKIM/DMARC) and metadata such as headers, link URLs and attachment hashes, not message content, since encryption prevents Proton from reading it; a machine-learning model retrains on user feedback (marking spam/phishing or rescuing a message from spam). |
| Bundled services | CalendarAddress BookNotes | CalendarDriveVPNPass |
