Analyze product and customer data in PostHog – no matter where it was generated.

Whether you're looking for an ETL, reverse ETL, a data warehouse, event pipelines, a CDP built for product engineers, or another ambiguous industry term – it's all here.

Built for product engineers

PostHog's customer data infrastructure is built for product engineers who want to understand how product usage (tracked with PostHog) correlates with business data (generated elsewhere).

• Get data IN
  SDKs, warehouse sources, webhooks
• Transform data
  HogQL, API, webhooks
• Query & visualize data
  SQL editor, BI, data viz
• Send data OUT
  Realtime event streaming pipelines, batch exports, webhooks

How it works

Here's how data flows in and out of PostHog, and how you can transform and analyze it all in one place.

🪦 RIP the modern data stack

It was a great idea, but as the stage of your company changes, the “modern data stack” inevitably devolves into a complicated mess of tools and integrations.

What’s worse: it usually means hiring someone to manage it all – and at that point, the data becomes less accessible to the product engineers and product managers responsible for building products.

If you’re interested in reading more about how we feel about the modern data stack, read our definitely not-opinionated blog post on it: The modern data stack sucks

So what if it didn’t have to be this way?

That’s the idea with PostHog’s customer data infrastructure. everything can finally live in one place, and can be analyzed with any of PostHog’s insight tools or BI visualizations. it doesn’t require a data engineer, and it scales with you as you grow.

A customer data platform isn't just event pipelines and destinations. it’s not a regurgitated feed of user activity. it’s not just a SQL editor and some transformations.

A true CDP is when you combine an ETL solution, event pipelines, modeling, data exporting and realtime event streaming, and a way to analyze and visualize it (insights, product analytics, BI) – all in a single place.

That's why we call it customer data infrastructure – as it's specifically built with the needs of product engineers in mind – to help you get the data points you need to build success products – without having to hire a dedicated team to handle it all.