Census

Data platform

Reverse ETL and data activation pioneer, acquired by Fivetran in 2025.

Updated July 2026 getcensus.com

Overview

Census is a reverse ETL platform: it syncs modeled data out of the warehouse into the operational tools where revenue teams work — CRM, marketing automation, CS platforms, ad networks. Data and RevOps teams use it to push warehouse-computed facts like product usage scores, billing totals, and churn risk into Salesforce fields or Braze audiences, so frontline tools act on the same numbers analytics reports on. Now part of Fivetran, it completes the round trip that Fivetran's ingestion pipelines start. In the revenue stack it is the activation layer of the warehouse-centric architecture.

Capabilities on the RevOps map

Which of the capability map's modules Census covers — each links to the module's own page, with every tool that supports it.

Module Phase Depth Note
Grow Revenue
Reverse ETL Retention & Insights Core warehouse-to-SaaS syncs defined on SQL and dbt models with diff-based updates

What makes it different

Census helped define the reverse ETL category and remains one of its most mature implementations, with SQL- and dbt-model-based sync definitions, diff-based updates, and observability on what changed where. Inside Fivetran, it offers ingestion and activation from one vendor, which simplifies the composable-CDP stack for teams that would rather not assemble it piecemeal.

Frequently asked questions

What is reverse ETL actually for in a revenue stack?

It moves the metrics your warehouse already computes — usage, spend, health, fit scores — into the tools where sellers and CS actually operate. Without it, those numbers live in dashboards nobody opens mid-call.

How does Census differ from a packaged CDP like Segment?

A packaged CDP collects and stores customer data in its own infrastructure; Census assumes your warehouse is the source of truth and only handles activation. The warehouse-native approach avoids duplicating data and logic, provided you have data engineering capacity to model it.

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