PostHog

Description

PostHog is an all-in-one, open-source analytics platform designed to help businesses build better products. It empowers teams to track and analyze user interactions, monitor session replays, experiment with feature flags, and gather actionable insights to improve user experiences. PostHog supports scalable deployments, integrates seamlessly with external services, and is SOC 2 Type 2 compliant. Its robust features and intuitive interface make it suitable for startups, enterprises, and data-driven teams looking to optimize their product development workflows.

Features

• Event-based Analytics: Capture events automatically or customize them to suit your needs.
• User and Group Tracking: Gain detailed insights into user behavior and group analytics.
• Data Visualizations: Create interactive graphs, funnels, paths, retention charts, and dashboards.
• SQL Access: Perform advanced queries for deeper analysis and tailor-made visualizations.
• Session Replays: Watch user interactions with privacy controls, console logs, and network monitoring.
• Heatmaps: Visualize user engagement and interactions with click tracking.
• Feature Flags: Roll out new features selectively or as kill-switches for controlled deployments.
• Experimentation Tools: Run A/B tests with automatic statistical analysis.
• Customizable Surveys: Collect user feedback through targeted and customizable surveys.
• PostHog CDP: Import/export data seamlessly to/from various services.
• Data Warehouse Integrations: Supports BigQuery, Redshift, Snowflake, and S3 for data management.

Technology Stack

• Programming Languages and Frameworks: JavaScript, Python, Ruby, Node.js, Go, Android, iOS, PHP, Flutter, React Native, Elixir.
• Data Management Tools: SQL for querying, visualization, and advanced analytics.
• Deployment Tools: Docker for scalable open-source deployments.
• Integration Tools: Built-in connectors for BigQuery, Redshift, Snowflake, S3, and more.

Requirements

• PostHog Cloud: No installation required; free sign-up available for up to 1 million events and 5k session replays per month.
• Open-source Deployments: Requires Linux with Docker (minimum 4GB memory recommended) for hobby instances, scaling to approximately 100k events per month.