PostHog vs Aidoc
A detailed comparison to help you choose between PostHog and Aidoc.
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Verdict: PostHog wins
PostHog scores 4.4/5, edging out Aidoc at 4.2/5. Engineering-led product teams that want analytics, session replay, flags and error tracking in one open-source platform and are willing to configure event design and sampling deliberately.
PostHog Product analytics platform with built-in session replay and feature flags | Aidoc AI powered radiology image analysis platform | |
|---|---|---|
| Rating | 4.4 (1 review) | 4.2 (1 review) |
| Pricing Model | freemium | paid |
| Starting Price | Free tier available | From $10000/mo |
| Best For | Engineering-led product teams that want analytics, session replay, flags and error tracking in one open-source platform and are willing to configure event design and sampling deliberately. | Hospital radiology departments and integrated health systems with meaningful acute imaging volumes that want one governed platform for many FDA-cleared triage algorithms instead of a stack of point solutions. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | free tieropen sourceapi access | api accessteam featuresgdpr compliant |
| Visit PostHog → | Visit Aidoc → |
PostHog
Pros
- + Free tier resets monthly and covers real work: 1M events, 5K recordings, 1M flag requests and 100K exceptions per month, with every feature available and no credit card
- + Funnel-to-replay-to-error-trace in one timeline replaced a three-tool debugging loop I used to run across separate user IDs
- + Self-hosting under MIT keeps event data inside your own infrastructure — the practical answer I recommend for regulated teams
- + No seat-based pricing at all; adding engineers, PMs and analysts to my projects never changed the bill
- + Billing limits are hard caps you set yourself, so a runaway autocapture config stops at your ceiling instead of at a surprise invoice
Cons
- - Session replay, not analytics, became the largest cost line in my test project once traffic passed the 5K free recordings
- - The interface packs nine-plus products into one navigation; new users I onboarded needed a full day before finding the right tool consistently
- - Self-hosting is a genuine ops burden (ClickHouse, Kafka, Postgres) and the self-hosted build lacks SAML SSO and granular permissions
- - Identified events cost nearly 4x anonymous events in the first paid band, so user-identification choices move the bill more than event volume does
- - Past a billing limit PostHog drops data until the next period — cost control comes at the price of visibility
Aidoc
Pros
- + Widest FDA-cleared acute triage portfolio I have reviewed: 31 authorisations on the FDA's December 2025 list, plus the first multi-indication clearance covering 14 abdominal CT findings in one workflow
- + Multi-triage consolidation meaningfully reduces alert noise — one flagged study produces one stacked panel, not one pop-up per algorithm
- + Real-world deployment evidence: Mercy Health documented urgent case turnaround falling from 19.8h to 1.3h across 50+ hospitals, with 5,642 patients expedited from 50,749 flagged findings
- + Vendor-neutral aiOS layer lets a health system run third-party and Aidoc algorithms through one governance and notification stack (17 FDA-cleared algorithms deployed at Hartford HealthCare)
- + Care Coordination and Patient Management close the loop beyond triage: mobile alerts with image context, and report mining that routes incidental findings to facility-defined follow-up protocols
Cons
- - No public pricing, no trial, no free tier — third-party estimates of ~$50k/site/year baseline with $8k-$15k per extra module are unverifiable until you are deep in a sales process
- - Hospital-only: requires PACS/RIS/EHR integration work, so it is irrelevant to individual clinicians, small practices and low-volume facilities
- - 510(k) clearance for most modules does not itself require independent clinical performance data (per JAMA Network Open) — buyers should demand the study set, not just the clearance count
- - No public changelog for algorithm updates, which is a real gap for a system whose output feeds clinical decisions
- - Vendor performance figures (order-of-magnitude false-alert reduction, 1,600+ hospitals) are company claims I could not independently audit
Frequently Asked Questions
Which is better, PostHog or Aidoc?▼
PostHog scores higher at 4.4/5 vs 4.2/5 for Aidoc, making it the better-rated option in our comparison.
What is the difference between PostHog and Aidoc?▼
PostHog: PostHog is an open-source product analytics platform that combines event analytics, session replay, feature flags, A/B testing and error tracking in one tool for product and engineering teams. Aidoc: Aidoc analyses medical imaging to flag urgent findings for radiologists and care teams, prioritising the cases that need attention first.
Is PostHog or Aidoc more affordable?▼
PostHog starts at €0/mo, Aidoc starts at €10000/mo. Check the comparison table above for current pricing.
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