Composable CDP vs traditional CDP: what are the main differences?

The main differences between composable CDPs and traditional CDPs are:

  • Data Storage: Traditional CDPs store data in their own systems (duplication), while composable CDPs use your existing data warehouse
  • Implementation: Traditional CDPs take 6-12 months to deploy, composable CDPs can be implemented in days or weeks
  • Customization: Composable CDPs offer complete flexibility in tool selection, while traditional CDPs have pre-configured, rigid structures
  • Pricing: Traditional CDPs use bundled pricing, composable CDPs offer pay-per-component models
  • Vendor Lock-in: Traditional CDPs create dependency, composable CDPs allow easy component switching

Using Snowplow for data collection in either approach, composable CDPs provide superior flexibility, faster time-to-value, and better cost efficiency while maintaining data quality and governance.

Get Started

Whether you’re modernizing your customer data infrastructure or building AI-powered applications, Snowplow helps eliminate engineering complexity so you can focus on delivering smarter customer experiences.