Self-Hosted Session Replay & User Behavior Analytics: OpenReplay vs PostHog vs Highlight.io

Introduction

Understanding how users interact with your web application is essential for improving user experience, debugging issues, and increasing conversion rates. Session replay tools record user sessions — capturing clicks, scrolls, mouse movements, and console errors — allowing product teams to watch exactly what users experienced. Combined with product analytics like heatmaps, funnel analysis, and feature flags, these tools form the backbone of a data-driven product development workflow.

While commercial solutions like Hotjar, FullStory, and LogRocket dominate the market, the open-source ecosystem now offers mature self-hosted alternatives that give you complete data ownership, no user caps, and significantly lower costs at scale. In this guide, we compare three leading self-hosted session replay platforms: OpenReplay, PostHog, and Highlight.io.

Comparison Table

OpenReplay

OpenReplay is a purpose-built session replay platform that focuses on reproducing user issues with high fidelity. Unlike canvas-based approaches that capture screenshots, OpenReplay records the actual DOM and user events, allowing you to inspect the full DOM state, network requests, console logs, and Redux/Vuex store state of any recorded session.

OpenReplay’s standout feature is real-time cobrowsing — support teams can join a user’s live session to see exactly what they see and guide them through issues. The platform also includes performance monitoring, funnel analytics, and click heatmaps.

Docker Compose Deployment

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version: '3.8'
services:
  openreplay:
    image: openreplay/openreplay:latest
    ports:
      - "8888:8888"
      - "9000:9000"
    environment:
      - DOMAIN=replay.yourdomain.com
      - POSTGRES_PASSWORD=secure_password
      - JWT_SECRET=your_jwt_secret
    volumes:
      - openreplay_data:/data
    depends_on:
      - postgres
      - clickhouse
      - redis

  postgres:
    image: postgres:16-alpine
    environment:
      - POSTGRES_PASSWORD=secure_password
    volumes:
      - pg_data:/var/lib/postgresql/data

  clickhouse:
    image: clickhouse/clickhouse-server:latest
    volumes:
      - ch_data:/var/lib/clickhouse

  redis:
    image: redis:7-alpine

volumes:
  openreplay_data:
  pg_data:
  ch_data:

Nginx Reverse Proxy

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server {
    listen 443 ssl http2;
    server_name replay.yourdomain.com;

    ssl_certificate /etc/letsencrypt/live/replay.yourdomain.com/fullchain.pem;
    ssl_certificate_key /etc/letsencrypt/live/replay.yourdomain.com/privkey.pem;

    location / {
        proxy_pass http://localhost:8888;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Proto $scheme;
        proxy_http_version 1.1;
        proxy_set_header Upgrade $http_upgrade;
        proxy_set_header Connection "upgrade";
        proxy_read_timeout 86400;
    }
}

PostHog

PostHog is an all-in-one product analytics platform that includes session replay as one of its many features. With 35,000+ GitHub stars, it is the most popular open-source product analytics tool. Beyond session replay, PostHog offers feature flags, A/B experiments, surveys, and a comprehensive product analytics suite with SQL access.

PostHog’s session replay uses a canvas-based approach — it captures screenshots rather than full DOM replay. This means you can see what the user saw but cannot inspect the DOM state or Redux store. However, canvas-based replay is more privacy-friendly since it doesn’t capture form inputs or sensitive data.

Docker Compose Deployment

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version: '3.8'
services:
  posthog:
    image: posthog/posthog:latest
    ports:
      - "8000:8000"
    environment:
      - SECRET_KEY=your_secret_key_here
      - SITE_URL=https://posthog.yourdomain.com
      - DATABASE_URL=postgres://posthog:password@postgres:5432/posthog
      - REDIS_URL=redis://redis:6379/
      - CLICKHOUSE_HOST=clickhouse
      - CLICKHOUSE_DATABASE=posthog
      - KAFKA_HOST=kafka
    volumes:
      - posthog_data:/var/lib/posthog
    depends_on:
      - postgres
      - redis
      - clickhouse
      - kafka

  postgres:
    image: postgres:16-alpine
    environment:
      - POSTGRES_PASSWORD=password
      - POSTGRES_USER=posthog
    volumes:
      - pg_data:/var/lib/postgresql/data

  clickhouse:
    image: clickhouse/clickhouse-server:latest
    volumes:
      - ch_data:/var/lib/clickhouse

  redis:
    image: redis:7-alpine

  kafka:
    image: bitnami/kafka:latest
    environment:
      - KAFKA_CFG_NODE_ID=0
      - KAFKA_CFG_PROCESS_ROLES=controller,broker
      - KAFKA_CFG_LISTENERS=PLAINTEXT://:9092,CONTROLLER://:9093
      - KAFKA_CFG_CONTROLLER_QUORUM_VOTERS=0@kafka:9093
      - KAFKA_CFG_CONTROLLER_LISTENER_NAMES=CONTROLLER

volumes:
  posthog_data:
  pg_data:
  ch_data:

Highlight.io

Highlight.io positions itself as an open-source full-stack monitoring platform. Unlike OpenReplay and PostHog which focus on frontend product analytics, Highlight.io provides session replay alongside comprehensive error monitoring, backend logging, and infrastructure metrics — all in one platform.

Highlight.io captures full DOM-based session replays with network request inspection, console logs, and user interaction tracking. Its error monitoring capabilities rival dedicated tools like Sentry, while also providing log ingestion and metric dashboards. This makes it particularly suitable for engineering teams that want session replay and error tracking in a single tool.

Docker Compose Deployment

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version: '3.8'
services:
  highlight:
    image: highlight/highlight:latest
    ports:
      - "8082:8082"
    environment:
      - REACT_APP_FRONTEND_URI=https://highlight.yourdomain.com
      - REACT_APP_PRIVATE_GRAPH_URI=https://highlight.yourdomain.com
      - REACT_APP_PUBLIC_GRAPH_URI=https://highlight.yourdomain.com
      - PSQL_HOST=postgres
      - PSQL_USER=postgres
      - PSQL_PASSWORD=secure_password
      - CLICKHOUSE_HOST=clickhouse
      - REDIS_HOST=redis
    volumes:
      - highlight_data:/highlight-data
    depends_on:
      - postgres
      - clickhouse
      - redis

  postgres:
    image: postgres:16-alpine
    environment:
      - POSTGRES_PASSWORD=secure_password
    volumes:
      - pg_data:/var/lib/postgresql/data

  clickhouse:
    image: clickhouse/clickhouse-server:latest
    volumes:
      - ch_data:/var/lib/clickhouse

  redis:
    image: redis:7-alpine

volumes:
  highlight_data:
  pg_data:
  ch_data:

Why Self-Host Your Session Replay?

Self-hosting session replay tools gives you several key advantages over commercial SaaS solutions. First, complete data ownership — your user session data never leaves your infrastructure, which is critical for GDPR compliance, healthcare applications, and enterprise security policies. Second, no per-session pricing — commercial tools like Hotjar and FullStory charge based on the number of recorded sessions, which can become prohibitively expensive for high-traffic sites. A self-hosted solution costs only your infrastructure, which at scale is typically 80-90% less than SaaS alternatives.

Third, customization and integration — self-hosted tools allow you to extend functionality, integrate with internal systems, and modify data retention policies to match your needs. For organizations already running related self-hosted tools for error monitoring, see our error tracking and logging guide. If you are also evaluating product analytics platforms, our web analytics comparison covers Matomo, Plausible, and Umami. For teams building user interfaces, our UX prototyping tools guide explores self-hosted design and prototyping alternatives.

Choosing the Right Tool

Choose OpenReplay if: You need high-fidelity DOM replay with real-time cobrowsing for support teams. The ability to inspect Redux/Vuex stores and network requests makes it ideal for debugging complex frontend issues. The enterprise features include role-based access control and SSO.

Choose PostHog if: You want an all-in-one platform that unifies product analytics, session replay, feature flags, and A/B testing. PostHog is best for product teams that need to understand user behavior holistically — not just replay sessions but also analyze funnels, run experiments, and survey users from the same platform.

Choose Highlight.io if: Your engineering team needs session replay combined with full-stack error monitoring and logging. Highlight.io excels as a unified observability platform — you can trace a frontend error from the session replay to the backend logs that caused it, all within the same tool. This tight integration reduces the need for separate Sentry, Datadog, or Grafana instances.

FAQ

How does session replay handle user privacy?

All three tools offer privacy controls. OpenReplay supports CSS-based masking to hide sensitive DOM elements, network request body masking, and user consent modes. PostHog uses canvas-based replay by default which avoids capturing form inputs but gives lower replay fidelity. Highlight.io supports DOM masking, network payload redaction, and privacy mode that excludes specific fields. Before deploying, configure these settings according to your privacy policy and regional regulations like GDPR or CCPA.

What is the infrastructure cost of self-hosting session replay?

Session replay is resource-intensive — storing DOM snapshots or video frames for every user session requires significant storage. At 10,000 sessions per day, expect 50-200 GB of storage per month depending on session length and replay fidelity. A mid-range server (8 vCPU, 32 GB RAM, 500 GB SSD) costs approximately $80-150/month on most cloud providers. All three tools use ClickHouse for efficient compressed storage, and PostHog and Highlight.io additionally support S3-compatible object storage for long-term archival.

Can I use these tools for mobile app session replay?

OpenReplay supports React Native and mobile web replay. PostHog has SDKs for iOS, Android, React Native, and Flutter with session replay available on mobile. Highlight.io supports React Native with full session replay. Native mobile replay is more limited than web replay — it typically captures screenshots rather than DOM snapshots due to platform constraints.

How do these compare to commercial tools like Hotjar or FullStory?

Commercial tools offer easier setup (no infrastructure management) and polished UIs, but come with significant limitations: per-session pricing that scales poorly, data residency concerns (your user data sits on their servers), and feature gating behind enterprise tiers. Self-hosted tools give you unlimited sessions at infrastructure cost, complete data control, and full access to all features without tier restrictions. The trade-off is operational overhead — you need to manage Docker deployments, database backups, and software updates.

Do I need a separate error tracking tool alongside session replay?

It depends on which tool you choose. If you use Highlight.io, its built-in error monitoring may be sufficient to replace a standalone tool like Sentry or GlitchTip. If you choose OpenReplay or PostHog, you may still want a dedicated error tracker. OpenReplay captures console errors and network failures within sessions but does not provide alerting, issue grouping, or release tracking. PostHog has basic error capture but no alerting system. For teams that need comprehensive error management, pairing OpenReplay with a self-hosted error tracker is a common pattern.

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