Case Study: Pandata Group accelerates cloud data modeling with SqlDBM

The end-to-end cloud data warehouse solution

Pandata Group, a consultancy specializing in digital transformation, sought a cloud-based data modeling tool to architect data warehouses for its clients. Their challenge was finding a solution that aligned with their "everything on a browser" philosophy, as traditional full-client tools with complex licensing and large deployments were not suitable. They needed a tool to create models efficiently for their clients' modern cloud data stacks.

The solution was implementing SqlDBM, a cloud-hosted SaaS data modeling tool. SqlDBM provided immediate ease of setup, collaborative capabilities for working anywhere, and critical features like native export for documentation and DDL generation for Snowflake. This allowed Pandata Group to achieve greater flexibility and agility, fine-tuning models in response to changes and accelerating their ability to deliver a complete end-to-end cloud data management strategy for their customers.

Pandata Group

Joseph Caparula

Senior Consultant