Introduction
Cake includes connectors for Snowflake data. Snowflake is a cloud-native data warehouse and analytics platform to store, process, and analyze data at scale—with strong support for structured, semi-structured, and real-time data workloads. Snowflake decouples storage and compute, enabling dynamic scaling and high concurrency while maintaining strong security, cost-efficiency, and governance. It acts as the central data lakehouse for teams at Cake—powering analytics, ML pipelines, experimentation, and reporting across the organization.
Use Cases
Snowflake serves as the analytics and ML backbone for:
Product analytics and usage metrics, feeding dashboards and executive reporting layers.
Data modeling and transformation via dbt, powering operational views for GTM, finance, and customer success.
Feature engineering for ML workflows, including time-series aggregations, label generation, and real-time scoring joins.
Data ingestion and normalization pipelines, integrating upstream sources from APIs, Kafka, and third-party SaaS tools.
Experiment tracking and evaluation for A/B tests and model performance metrics.