Is PostHog better than Plausible Analytics in 2026?

It depends on your needs. Plausible Analytics is rated higher at 4.7/5 vs PostHog's 4.4/5. PostHog excels at open-source product analytics with session replay and feature flags, while Plausible Analytics focuses on simple, privacy-first web analytics as an alternative to google analytics. PostHog starts at free tier; Plausible Analytics starts at $9/mo.

Which is cheaper, PostHog or Plausible Analytics?

PostHog starts at free tier; Plausible Analytics starts at $9/mo. PostHog has a free plan, and Plausible Analytics starts at $9/mo.

Can I migrate from PostHog to Plausible Analytics?

Most users can switch between these tools. Plausible Analytics supports data import from PostHog. Plan 1-3 days for migration depending on data volume and team size.

What are the key differences between PostHog and Plausible Analytics?

PostHog uniquely offers Product Analytics, Session Replay, Feature Flags. Plausible Analytics uniquely offers Pageview Tracking, Custom Events, Goal Conversions. Both share 3 features including Funnels, API Access, Self-Hosting Option. PostHog starts at free tier; Plausible Analytics starts at $9/mo. Founded in 2020 and 2019 respectively.

When was this PostHog vs Plausible Analytics comparison last updated?

This comparison was last updated on May 13, 2026. We review and refresh our comparisons regularly to reflect the latest pricing, features, and ratings from PostHog and Plausible Analytics.

Home›Analytics & BI›Compare›PostHog vs Plausible Analytics

Updated May 13, 2026 · Independent Analysis

PostHogvsPlausible Analytics

Capability Overview

PostHogvs Plausible Analytics

★ 4.4/5-0.3 vs Plausible Analytics

Only in PostHog

✦ Product Analytics
✦ Session Replay
✦ Feature Flags

✓ Free plan60k+ users · est. 2020

View Full Review Try PostHog Free

Plausible Analyticsvs PostHog

★ 4.7/5+0.3 vs PostHog

Only in Plausible Analytics

✦ Pageview Tracking
✦ Custom Events
✦ Goal Conversions

From $9/mo12k+ customers users · est. 2019

View Full Review Try Plausible Analytics Free

Pricing Features Pros & Cons At a Glance FAQ Related

Pricing Intelligence

PostHog Plans

Free tier available

Free0

Free

• 1M events/mo
• Session replay included
• Feature flags included

Paid0

Free

• Pay-as-you-go after free tier
• Billing starts at $0.00045/event
• No seat limits

Full PostHog Pricing Breakdown →

Plausible Analytics Plans

Paid plans only

GrowthBest Value

$9/mo

• Up to 10k pageviews
• Unlimited sites
• No cookie banner needed

Business

$19/mo

• Up to 100k pageviews
• Custom properties
• Revenue attribution

Enterprise

Custom

• Custom pageviews
• Dedicated support
• SLA

Full Plausible Analytics Pricing Breakdown →

Feature Matrix

10 differences found across 15 standardized features

Feature

PostHog

Plausible Analytics

Retention Analysis

✓

✗

Cohort Analysis

✓

✗

Session Replay

✓

✗

Heatmaps

✓

✗

A/B Testing

✓

✗

Feature Flags

✓

✗

SQL Access

✓

✗

Mobile SDKs

✓

✗

Slack Integration

✓

✗

User Identification

✓

✗

Total (raw)

Pros & Cons Face-Off

Evaluative strengths and weaknesses — not feature lists

PostHog

Pros

+Open source with self-hosting option
+Generous free tier (1M events)
+All-in-one analytics suite
+Strong developer experience

Cons

−UI can be overwhelming for non-technical users
−Pricing gets complex at scale

Plausible Analytics

Pros

+Privacy-first, no cookies required
+Lightweight script (< 1KB)
+Clean simple interface
+GDPR/CCPA compliant out of the box

Cons

−No user-level tracking
−Limited compared to GA4
−No free plan (only trial)

At a Glance

User Rating

4.4/5vs4.7/5

PostHog

Plausible Analytics

▲

Starting Price

Free tiervs$9/mo

PostHog

Plausible Analytics

▲

Feature Count

15 featuresvs15 features

PostHog

Plausible Analytics

User Base

60vs12

PostHog

▲

Plausible Analytics

Frequently Asked Questions

Related Comparisons

PostHog vs Mixpanel →PostHog vs Amplitude →PostHog vs Fathom Analytics →Plausible Analytics vs Heap →Plausible Analytics vs Metabase →PostHog Alternatives →Plausible Analytics Alternatives →

Authored by ComparEdge Editorial·Reviewed by ComparEdge EditorialExpert verified·Updated May 13, 2026·Our methodology