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
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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.
No migration, re-instrumentation, or switching tools because you scaled out of them. If you really want to, we give you the credentials to directly access your data store to bring your own tools or export your data.
What's in your context warehouse
Use PostHog as the full context layer for your product, or mix and match with your own tools.
Data Sources
Data pipelines
Sync data in from your tools and databases, transform events as they arrive, and send data to the rest of your stack.
Warehouse
Store, query, and join your product and business data in one place without maintaining any infrastructure.
Data Modeling
Models
Define your metrics to keep them consistent across PostHog products, update them on a schedule.
Endpoints
Take any insight or SQL query and expose it as a stable API endpoint.
Data Tools
PostHog AI
Ask questions about your data in plain English. Generates SQL, builds dashboards, and surfaces insights.
SQL Editor
Write and run HogQL or standard SQL directly against your data. For when you know exactly what you want and just need to ask for it properly.
Notebooks
Combine insights, replays, flags, experiment results, and SQL into a single document. For when your analysis has a story and a dashboard isn't the right way to tell it.
Business Intelligence
Visualize your data with interactive dashboards and ad-hoc analyses right in PostHog.
Get started
Your first data source is free to connect. So is your second. By the time you've connected your third, you'll stop thinking about your stack entirely, which is the whole point.
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FAQ
Natively. Warehouse data can power cohorts used in experiments and flags. Pipeline data flows directly into analytics. Trino queries run on the same dataset your dashboards use. There's no separate sync to set up.
