ErrorDock vs PostHog
ErrorDock combines error monitoring, performance and product analytics with per-feature health, one ranked list of priorities, feature flags and uptime monitoring, behind one project. PostHog approaches the problem from a different starting point; this page sets out where they differ, factually.
Overview
PostHog is a product analytics platform, offered both as a hosted service and as a self-hostable open source project, with event tracking, funnels and session tooling.
Feature comparison
| Capability | ErrorDock | PostHog |
|---|---|---|
| Error monitoring | Implemented | Yes PostHog Error Tracking captures exceptions and turns them into issues, with the affected user's session replay and events attached. Source |
| Breadcrumbs | Implemented | Yes Each issue carries the affected user's session replay, events and properties, which is the trail this row is about even though PostHog does not call it that. Source |
| Release tracking | Implemented | Yes Releases tie each exception back to the deploy that caused it. Source |
| Regression detection | Implemented | — Not verified. Source |
| Source maps | JS & Hermes | Yes Source maps are uploaded after the production build, through a CLI or a setup wizard. Source |
| Performance monitoring | JS SDKs + OpenTelemetry | — Not verified. Source |
| Distributed traces | OpenTelemetry (OTLP JSON) | — Not verified. Source |
| Database performance | Spans only, no query view | — Not verified. Source |
| Product analytics | Implemented | Yes PostHog's core product. Source |
| Feature analytics | Implemented | — Not verified in the form ErrorDock defines it. Source |
| Interaction tracking | Implemented | Yes Autocapture records clicks, input changes and form submissions without per-event instrumentation. Source |
| Product Health | Feature health + priorities | — No equivalent concept to compare. ErrorDock's version is a per-feature health table and one ranked list of issues, latency regressions and underused features, which is a definition rather than a feature. Source |
| Impact-based priorities | Implemented | — No equivalent concept to compare. ErrorDock's version is a per-feature health table and one ranked list of issues, latency regressions and underused features, which is a definition rather than a feature. Source |
| AI root-cause analysis | Implemented | — Not verified. Source |
| AI fix proposals and pull requests | Proposals; PRs off in beta | — Not verified. Source |
| Feature flags | .NET SDK only | Yes PostHog serves its own flags, with percentage rollouts and targeting. Source |
| Uptime monitoring | HTTP, one EU location | — No uptime monitoring product found in their documentation when checked in August 2026. Recorded as unverified rather than as absent. Source |
| GitHub integration | Read-only | — Not verified. Source |
| API access | Ingest + read-only API | Yes Documented public API, including capture and batch endpoints. Source |
Pricing philosophy
PostHog publishes usage-based pricing with a free tier. See their pricing page for current figures.
ErrorDock is preparing beta access. Paid subscriptions and automated billing are not available yet. Contact us to discuss access, usage and your stack.
ErrorDock pricingWhen PostHog is the better choice
Product teams whose primary need is analytics depth, and who want feature flags and error tracking from the same vendor as their analytics.
When ErrorDock is the better choice
When you need to know not just that something broke, but whether it matters. ErrorDock is the option if you want error monitoring, performance and product usage in one platform, with one connected workflow, and you want one ranked list of what to fix, weighted first by how many real users each issue affects and whether it came back.
Request beta access
Errors, performance and product usage in one project. Contact us about beta access.