Snowplow for SQL

Universal language

SQL remains the universal language of data analytics, from basic reporting to advanced machine learning. By making behavioral data directly accessible via SQL, teams unlock deeper insights while leveraging existing skills and expertise.

Seamless integration into cloud data warehouses

SQL is fully supported in all major cloud data warehouses, with mature optimization and performance patterns. Build a powerful analytics foundation in your data warehouse leveraging SQL.

Rich ecosystem of analytics and BI tools

SQL is the default integration language for tools in the Modern Data Stack, from data observability & lineage, through data quality & validation, to analytics & BI. Bring your team’s current tools and workflows to behavioral data via SQL.

Real-time streaming into your data warehouse

Snowplow provides low-latency loaders which stream event data into your cloud data warehouse in near real-time (2-5 seconds).

Dynamically alter tables as event structures evolve

Data producers regularly add new types of events and evolve the schemas of their events. Snowplow dynamically adjusts target tables to reflect these changes without disrupting the streaming load.

Support incremental updates to silver and gold tables

Drop-and-recompute doesn’t work for event data. Instead, Snowplow uses proprietary incremental algorithms to update downstream tables efficiently as new events arrive.