Give your agents the full context
Your context warehouse combines data storage and tooling with no pipelines to maintain, optimized for agents to use.
- Store product and business data
- Transform, query, and model
- Data-driven self-driving development
Built for data engineers, loved by product teams
Data engineers
Build complex models and transformations that need your expertise, not plumbing.
- Set up CDC pipelines from Postgres, MySQL, and other sources
- Define and version core metrics so every team is working from the same numbers
- Build and manage reverse ETL syncs to keep downstream tools up to date
- Write transformation logic that enriches events with data from other systems
- Query billions of rows without managing a cluster
- Flexibility to use PostHog's full context warehouse or bring your own tools
Product engineers
Your data is already in PostHog. Query it, use it in experiments, and ship against it without waiting on the data team.
- Sync external data sources and query them alongside your product events
- Build experiment cohorts from warehouse data without creating a custom pipeline
- Use PostHog AI to write SQL when you don't want to
Better data in, better AI out
Start with data you trust
AI products don't fail because the model is bad. They fail because the data feeding them is incomplete, inconsistent, or stuck in a tool it can't reach.
PostHog's context warehouse gives your AI features a foundation that works: clean event data, business context from your other tools, and full data ownership.
The stack that grows with you, not one you grow out of
The data you need on day one looks nothing like the data you need at scale. Start with what a small team needs and add capability as you grow into it.