FullStory vs PostHog

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-08-14
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At a glance

DimensionFullStoryPostHog
PricingPaid, starts at ~$10k/yr (no free tier)Free tier: 1M events, 5K recordings, 1M flag requests, 1M warehouse rows/mo
Session ReplayCore feature, tabbed browsing, privacy-first recording (Fullcapture)Included: 5K free recordings/mo, mobile beta
Feature Flags & A/B TestingNot available (focus on analytics and replay)Built-in: 1M free flag requests/mo, experimentation via flags
Data Warehouse / SQLWarehouse integrations (Snowflake, BigQuery, etc.) but no native SQLManaged data warehouse with SQL editor, 1M free rows/mo
AI CapabilitiesStoryAI insights + Fullstory MCP for AI agent integration (latest news)Training proprietary AI models (latest news)
IntegrationsSlack, Jira, Segment, GA, mParticle, Amplitude, Snowflake, etc.120+ integrations (Stripe, Slack, GitHub, Sentry, etc.)

If you're a product engineer or startup needing an all-in-one platform with analytics, session replay, feature flags, and a data warehouse at a low cost, PostHog wins hands-down. For large enterprises focused purely on behavioral insights and session replay with top-tier AI and privacy controls, FullStory is the premium choice.

FullStory
FullStory

AI-powered behavioral analytics to capture, understand, and act on user behavior in real time.

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PostHog
PostHog

Open-source product OS unifying analytics, session replay, feature flags, and a data warehouse.

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Pricing
Paid
Freemium
Plans
Custom (est. >$10k/yr)
Custom quote
Custom quote
$0/mo
Usage-based from $0/mo
Popularity
3.5k views
4.7k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebMobileAPI
WebAPI
Categories
📉 Product Analytics & Experimentation
📉 Product Analytics & Experimentation📡 LLM Observability & Evals
Features
Session replay with tabbed browsing
Heatmaps: click, scroll, movement
Funnels and conversion analysis
Journey maps
Mobile analytics (add-on)
StoryAI behavioral insights and summaries
Fullcapture privacy-first recording
Fullstory MCP for AI agent integration
Rage click detection
Sentiment signals
Guides and Surveys: NPS, product tours, feedback
Co-browsing
Real-time personalization via Anywhere
User segments and trends
Dashboards and alerts
Product analytics with event pipelines and dashboards
Session replay with heatmaps and Replay Vision (AI insights)
Feature flags with experimentation and A/B testing
Managed data warehouse on DuckDB with SQL editor
120+ data sources and destinations for context warehousing
Error tracking and exceptions monitoring
AI observability for monitoring AI app behavior
Web analytics and pageview insights
Surveys with in-app and email responses
CDP-lite user activity feed
Workflows: automated emails and destination dispatches
Inbox for code review PR workflows
Logs ingestion (14-day and 30-day retention)
PostHog AI assistant with 500 free credits
Self-hosting via PostHog FOSS source code
Integrations
Slack
Jira
Segment
Google Analytics
mParticle
Amplitude
Snowflake
BigQuery
Amazon Redshift
Databricks
Zendesk
Salesforce
Intercom
Stripe
HubSpot
PostgreSQL
GitHub
Sentry
MySQL
Redshift
Datadog

Who should pick which

  • Solo founder on a budget
    Pick: PostHog

    PostHog's generous free tier (1M events, 5K recordings) eliminates cost barrier; plus it includes feature flags and warehouse, replacing multiple tools.

  • Enterprise product team needing deep behavioral insights
    Pick: FullStory

    FullStory's StoryAI, Fullcapture privacy, and MCP for AI agents provide advanced analytics and autonomy; premium support fits enterprise needs.

  • Data engineer who wants SQL access
    Pick: PostHog

    PostHog's managed data warehouse with SQL editor and BI capabilities enables custom queries; FullStory lacks native SQL.

  • E-commerce site optimizing conversion funnels
    Pick: FullStory

    FullStory's funnel analysis, journey maps, heatmaps, and rage-click detection are purpose-built for conversion optimization.

  • Startup running A/B tests alongside feature flags
    Pick: PostHog

    PostHog integrates feature flags and experimentation in one platform, saving cost and complexity; FullStory doesn't offer flags or A/B testing.

Frequently Asked Questions

FullStory vs PostHog: which should you choose?

If you're a product engineer or startup needing an all-in-one platform with analytics, session replay, feature flags, and a data warehouse at a low cost, PostHog wins hands-down. For large enterprises focused purely on behavioral insights and session replay with top-tier AI and privacy controls, FullStory is the premium choice.

Which tool has a free tier?

PostHog offers a generous free tier (1M events, 5K recordings, etc.). FullStory has no free tier (plans start at ~$10k/yr).

Can I use PostHog for A/B testing?

Yes, PostHog includes A/B testing as an add-on to feature flags. FullStory does not offer built-in A/B testing.

Does FullStory have a data warehouse?

No, FullStory does not include a data warehouse. It integrates with external warehouses like Snowflake and BigQuery. PostHog has a managed data warehouse with SQL editor.

Which tool has better AI capabilities?

Both are investing in AI: PostHog is training proprietary AI models; FullStory offers StoryAI and Fullstory MCP for AI agent integration. FullStory's AI is more mature in behavioral insights currently.

Can I self-host PostHog?

Yes, PostHog is open-source and can be self-hosted for full data control. FullStory is SaaS-only.

Does FullStory support mobile apps?

Yes, FullStory offers mobile analytics for iOS and Android. PostHog has mobile session replay in beta.

What integrations does PostHog support?

PostHog offers 120+ integrations including Stripe, Slack, GitHub, Sentry, Zendesk, and major data warehouses. FullStory integrates with Slack, Jira, Segment, GA, mParticle, and warehouses.

Which tool is more privacy-friendly?

Both support privacy features: PostHog can be self-hosted; FullStory has Fullcapture privacy-first recording with redaction controls. Choose based on compliance needs.

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Last reviewed: May 12, 2026