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It provides real-time dashboards, user segmentation, push notifications, crash reporting, and A\u002FB testing across mobile, web, and desktop applications with SDKs for 15+ platforms.","8a910e34-3180-11f1-9bc6-00163e2b0d79","Script Depot","",0,7,"en",[16],{"id":17,"step_order":18,"title":19,"description":11,"prompt_template":20,"variables":11,"depends_on":21,"expected_output":11},3692,1,"Countly Analytics","# Countly — Self-Hosted Product Analytics and User Engagement Platform\n\n## Quick Use\n```bash\n# Deploy with Docker\ngit clone https:\u002F\u002Fgithub.com\u002FCountly\u002Fcountly-server.git\ncd countly-server\ndocker compose up -d\n# Access dashboard at http:\u002F\u002Flocalhost\n```\n\n## Introduction\nCountly is a self-hosted product analytics platform that gives teams complete control over their user data. It tracks events, sessions, crashes, and user journeys across mobile, web, and desktop applications, providing real-time dashboards and segmentation without sending data to third-party services.\n\n## What Countly Does\n- Tracks custom events, sessions, page views, and user properties in real time\n- Segments users by device, location, behavior, and custom attributes\n- Sends targeted push notifications for iOS, Android, and web\n- Provides crash and error reporting with stack traces and device context\n- Supports A\u002FB testing and feature flags for controlled rollouts\n\n## Architecture Overview\nCountly runs on Node.js with MongoDB as its data store. The server exposes a REST API that receives events from client SDKs. Data is aggregated into time-series buckets for fast dashboard queries. A plugin system extends core functionality with modules for push notifications, crash analytics, surveys, and revenue tracking. The web dashboard is a single-page application that visualizes metrics through charts, funnels, and cohort tables.\n\n## Self-Hosting & Configuration\n- Deploy via Docker Compose with MongoDB included in the stack\n- Use the one-line install script for Ubuntu or CentOS bare-metal deployments\n- Configure data retention, rate limiting, and API key management in the dashboard\n- Set up SMTP for email reports and push credentials for mobile notifications\n- Scale horizontally by adding Node.js workers and MongoDB replica sets\n\n## Key Features\n- Full data ownership with self-hosted deployment and no third-party data sharing\n- SDKs for iOS, Android, React Native, Flutter, Web, Node.js, and 10+ more platforms\n- Real-time dashboards with drill-down by any event property or user segment\n- Plugin marketplace with 50+ official and community plugins\n- GDPR-compliant with built-in consent management and data export tools\n\n## Comparison with Similar Tools\n- **Google Analytics** — Cloud-only, limited to web; Countly is self-hosted with mobile SDK support\n- **PostHog** — Similar self-hosted analytics; Countly has stronger push notification and A\u002FB testing features\n- **Matomo** — Focused on web analytics; Countly provides native mobile SDKs and crash reporting\n- **Plausible** — Privacy-focused but lightweight; Countly offers deeper user segmentation and engagement tools\n- **Mixpanel** — Cloud SaaS with event analytics; Countly can be fully self-hosted for data sovereignty\n\n## FAQ\n**Q: What database does Countly use?**\nA: MongoDB. Countly stores events, sessions, and user profiles in MongoDB collections with time-series aggregation for dashboard performance.\n\n**Q: Can I migrate from Google Analytics to Countly?**\nA: Countly tracks different data models than GA, so there is no direct import. You can run both in parallel and transition your dashboards over time.\n\n**Q: Is the self-hosted version feature-complete?**\nA: The Community Edition includes core analytics, crash reporting, and push notifications. The Enterprise Edition adds advanced features like funnels, cohorts, and drill.\n\n**Q: How much server resources does Countly need?**\nA: For small to medium apps (under 1M events\u002Fday), a single server with 4 GB RAM and 2 CPUs is sufficient. Larger deployments benefit from MongoDB sharding and multiple API workers.\n\n## Sources\n- https:\u002F\u002Fgithub.com\u002FCountly\u002Fcountly-server\n- 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