virling Pricing Self-host Demo Changelog Agencies GitHub Start the beta
compare / posthog

Virling vs PostHog

PostHog is a broad product analytics platform. Virling does one job: it reads your payments and joins each one to the visit before it.

VirlingPostHog
FocusRevenue by traffic channelProduct analytics, session replay, feature flags and more in one platform
Open sourceYes, AGPLv3Open source core; see their repository for the license of each part
Self-hostYes, one Rust binary with embedded storage. No Postgres, ClickHouse or Redis.Yes. The hobby deployment runs with Docker on a Linux server; plan for about 4 GB of memory
PaymentsStripe, Dodo Payments, Polar and LemonSqueezy, read with a key, no event codeRevenue analytics reads Stripe data through its data warehouse, and its docs call it beta
PricingFree to self-host. The hosted beta is free now.Usage based, with a free monthly allowance; see their pricing page

Based on PostHog's public docs as of October 2026. See PostHog for their current features and pricing. Something out of date? Tell us.

When PostHog is the better fit

You want product analytics, session replay, experiments and feature flags in one tool, and revenue is one of many questions you ask.

When Virling is the better fit

Your main question is which channel brings paying customers. You want payments read for you, revenue per visitor by channel, and one small server to run.

Frequently asked questions

Is Virling a simpler alternative to PostHog for revenue?

Virling does one job: it reads your payments and shows which channels bring paying customers. PostHog is a broad product analytics platform whose revenue analytics reads Stripe data through its data warehouse, which its docs call beta.

Can I self-host PostHog and Virling?

Yes. PostHog's hobby deployment runs with Docker on a Linux server and needs about 4 GB of memory. Virling is one Rust binary with embedded storage and no Postgres, ClickHouse or Redis.

When is PostHog the better fit?

When you want product analytics, session replay, experiments and feature flags in one tool, and revenue is one of many questions.

Start the beta See the demo