Case Study: Fountain achieves real-time cloud data replication and a data-driven culture with Fivetran

After Embracing Fivetran a Data-Driven Culture Blossoms at Applicant-Tracking Startup Fountain

Fountain, a San Francisco–based applicant-tracking SaaS startup that helps companies hire hourly workers, needed fresh, advanced analytics without diverting its small engineering team to build and maintain ETL pipelines. To avoid months of custom work and stale reports, Fountain chose Fivetran to replicate its business application data into a modern cloud warehouse (Google BigQuery) and enable easier analysis.

Fivetran delivered zero-configuration, zero-maintenance data pipelines and prebuilt connectors (Salesforce, Zendesk, Facebook Ad Insights, LinkedIn, Google Sheets) that sync as often as every five minutes into BigQuery, letting Fountain pair the warehouse with Looker for BI. The result: fast, low-effort setup and sustainable operations, democratized access to up-to-date data across the ~30-person company, a cultural shift to data-driven decision making, and freed engineering resources to focus on product and machine-learning work.

Fountain

Mark Schindler

Head of Analytics and Business Intelligence