FullStory vs PostHog

Both tools offer session replay, funnels, and heatmaps, but differ significantly in scope and target audience. PostHog positions itself as an all-in-one Product OS: it bundles product analytics, session replay (5K free recordings/month, mobile beta), feature flags, A/B testing via flags, a managed data warehouse (1M rows free), SQL editor, error tracking, surveys, AI observability, and data pipelines. Its open-source core and self-hosting option appeal to teams wanting data control. FullStory focuses deeply on behavioral analytics: session replay with privacy-first Fullcapture, heatmaps (click, scroll, movement), funnels, journey maps, StoryAI for automated behavioral insights, rage click detection, sentiment signals, and Guides/Surveys for in-product feedback. FullStory’s latest MCP (AI Agent Integration) lets teams catch issues and monitor releases autonomously from AI tools, a capability PostHog lacks. PostHog’s 120+ integrations and SQL editor give data teams flexibility, while FullStory integrates deeply with enterprise data warehouses (Snowflake, BigQuery, etc.) and tools like Jira, Salesforce. PostHog is stronger for engineering-led teams wanting a unified platform; FullStory excels for cross-functional teams optimizing digital experiences.

Pricing is the starkest differentiator. PostHog offers a generous free tier: 1M events, 5K session recordings, 1M feature flag requests, and 1M warehouse rows per month. Beyond that, usage-based billing scales transparently. FullStory is paid-only with plans starting at approximately $10,000/year, making it a significant investment. For startups or budget-constrained teams, PostHog's free tier allows extensive exploration and usage without upfront cost. FullStory's pricing, while high, reflects its enterprise focus and AI capabilities like StoryAI and MCP. Teams needing heavy session replay, heatmaps, and behavioral AI may justify FullStory's cost; those seeking a cost-effective, scalable all-in-one solution will lean toward PostHog.