Alternatives to PostHog

Product analytics platform for understanding user behavior and driving data-driven product decisions.

Heap is a product analytics platform that automatically captures user interactions to provide insights.

A feature management platform that enables engineering teams to control the rollout of new features, experiment with product variations, and manage the software release lifecycle.

Amplitude is a leading digital analytics platform that helps companies unlock the power of their products.

A knowledge layer for AI, unifying data assets and tribal knowledge to enable AI to answer and act with confidence.

Collaborative analytics platform empowering business users with AI-driven data insights.

A unified data analytics and AI platform built on the lakehouse architecture.

AI-powered data analyst that lets users upload datasets and ask questions in natural language to generate charts and derive insights instantly.

Data observability platform for data reliability and quality.

Data platform for apps and AI, unifying distributed data for analytics and AI innovation.

Cloud data warehouse for building next-gen analytics experiences with sub-second performance, designed for engineers and AI agents.

Automated AI predictive analytics platform for businesses to build and deploy models.

High-performance observability warehouse and real-time analytics platform powered by Apache Druid.

A software platform for integrating, visualizing, and analyzing complex data to power AI-driven decisions.

Open-source business intelligence and embedded analytics platform.

Revenue intelligence platform that spots and prevents revenue leaks before they happen.

Streaming data processing hub for building, deploying, and monitoring contextual data pipelines.

Data science platform that proactively identifies growth opportunities from company data.

Empowering software engineering leaders with real-time data and actionable insights for team success.

Automates data management and analytics for businesses, simplifying data modeling, cleanup, and infrastructure.