Blueprint

Composable Analytics

Drive faster time-to-insight by pairing Snowplow’s high-quality behavioral data with the modern warehouse or lakehouse

What is Composable Analytics?

Composable Analytics is a modular approach to building analytics stacks. Instead of relying on a single monolithic BI platform, teams assemble best-of-breed components—data collection, storage, modeling, and visualization—that can evolve with the business. With Snowplow’s Customer Data Infrastructure supplying clean, well-structured event data, you’re free to plug in whichever warehouse, transformation framework, or BI tool best fits each use case. The result is faster experimentation, lower costs, and analytics that scale seamlessly as your data volumes grow.

Key Benefits

Rapid Time-to-insight

Start answering questions in minutes, not days, by streaming enriched events directly into your warehouse and dbt models.

Future-proof

Swap or upgrade components—storage engines, query layers, or dashboards—without re-engineering the entire stack.

Unified Data Quality

Schemas, validation, and PII controls are enforced at the point of collection, ensuring trustworthy data across every downstream tool.

Cost-efficiency

Pay only for the compute and storage you use, avoiding the “all-in-one” premiums of legacy analytics suites.

Explore Composable Analytics Blueprints

Choose from these proven architectural patterns to build your analytics solution, each leveraging different components of Snowplow's Customer Data Infrastructure.

Direct Tool Sync via rETL

Collect and process data in your warehouse, then sync to directly into your preferred packaged analytics platform/UI