As Datto expanded, its data complexity grew with it. To create a complete view of the customer, the company needed to consolidate Salesforce CRM data with other enterprise systems. While Tableau was selected as the core analytics platform, native Salesforce reporting couldn’t support the scale, speed, or cross-platform integration Datto required. They needed a near real-time data pipeline to Snowflake that could flex with evolving data structures, and empower business users to access insights without bottlenecks.
CapStorm deployed a self-hosted solution to extract Salesforce data in high-frequency increments and replicate it into Snowflake, enabling Tableau to become a unified analytics layer across all systems. This eliminated native Salesforce limitations and enabled a scalable, self-serve business intelligence model.
CapStorm synced only new or modified records to Snowflake, keeping data fresh and minimizing API impact.
Salesforce data was cleansed and staged in Snowflake prior to Tableau integration, ensuring clean and consistent reporting.
Snowflake served as the single point of query across enterprise systems, powering a true 360-degree customer view.
CapStorm enabled a self-serve reporting model, reducing IT dependency and enabling rapid, business-driven insights.
Talk to us about what’s possible in your environment.
Protect Salesforce data with self-hosted backups, rapid restore, and full compliance – no cloud reliance required
Sync Salesforce data to Snowflake, SQL, and BI tools in near real-time for analytics.
Seed sandboxes, version metadata, and enable faster dev cycles with compliant, consistent test data.
