Hightouch's schema-agnostic advantage

Hightouch won by refusing to make the warehouse look like a CDP first. In practice, that means a team can take whatever tables and joins already exist in Snowflake, BigQuery, or Databricks, define an audience or sync directly from SQL, and push it into Salesforce, Braze, or ad platforms without remapping everything into a vendor owned customer model. That matters most in enterprises where customer data spans many objects, teams, and edge cases.1 2 3 4

• Traditional CDPs usually expect data to fit their built in user and account model. Census described this tradeoff clearly, all in one tools work well until a company needs custom entities, unusual connectors, or marketplace style data structures. Hightouch leaned into the opposite design point, using the warehouse schema as is.2 3
• That flexibility also fits how reverse ETL is actually adopted. Early deployments often start with one team and one use case, then expand across sales, marketing, support, and finance as the same warehouse definitions are reused everywhere. A schema agnostic product makes that expansion easier because each team can sync different objects without rebuilding the core data model.2 3
• The strategic payoff is visible in category outcomes. Census raised a $60M Series B at a $630M valuation in February 2022, but the pure reverse ETL category later consolidated and Census was acquired by Fivetran. Hightouch instead moved up into marketer facing products like audience building, identity resolution, and campaign tooling, reaching an estimated $100M ARR by April 2026.1 4 5 6

The next phase is less about moving rows between systems and more about owning the marketer workflow that sits on top of warehouse data. As SaaS apps, CDPs, and warehouses converge on audience building and campaign execution, Hightouch's schema agnostic base gives it a clean path to become the operating layer for activation across increasingly messy enterprise data estates.1 3 4