SqlDBM

“One of the most common questions my team gets asked is: where does this column come from? With SqlDBM’s view lineage feature, I can easily answer that question”

“SqlDBM revolutionized our approach to data modeling, creating a foundation for innovation and scalability within our modern tech stack.”

“SqlDBM served as the backbone of our tech stack, linking Databricks’ scalability with dbt’s transformation capabilities.”

“The Data Modeling Forum ensured quality and consistency, with SqlDBM at the center of every decision.”

“By meticulously modeling our data, we simplified a complex migration into manageable phases.”

“Our documentation in SqlDBM served as a foundation for both governance and collaboration, making our data assets accessible and reliable.”

“Collaboration across teams has never been smoother; SqlDBM provided the clarity we needed.”

“SqlDBM allowed us to uncover redundancies and improve our models’ quality, avoiding issues downstream.”

“By visualizing our data structures early, SqlDBM helped us avoid bottlenecks and stay on schedule.”

“SqlDBM bridged the gap between our Databricks data lake and dbt workflows, enabling seamless data transformations and advanced analytics.”

“SqlDBM empowered our teams by offering a shared repository for collaboration, enabling engineers, analysts, and report writers to work more effectively.”

“When someone works on new data ingestion into the lake, they must explain how they’re modeling it. SqlDBM helps us review and reconcile these changes, preventing redundant tables and ensuring consistency across projects .”

“SqlDBM became our authoritative source for documenting Databricks’ gold layer models, showing how dimensions and facts are related, streamlining our transition to the cloud .”

“One of the things we really appreciate about the SqlDBM team is that they are genuinely interested in what their users have to say.”

“I’ve been very pleased with the functionality that SqlDBM provides. I think it’s extremely functional and very complete without being overbearing.”

“Usually, ‘web-hosted’, to me, means a sacrifice of functionality, but in this case, SqlDBM is feature rich and fully functional.”

“As a Snowflake Partner, we help move [our clients] from on-premises to a modern, cloud data platform. We also want to introduce them to a modern data modeling solution like SqlDBM. You’re going to a SaaS-based data warehousing platform; why are you still using a client-based modeling tool?””

““We’re optimizing and modeling new datasets every day — making data available for AI and machine learning use cases that directly improve patient care.””

“Once you get your data modeling out of the desktop and into the cloud, everyone can align on a single vision — that’s the real power of modeling.”

“It takes time to understand how things link together. SqlDBM helps speed up operational efficiency and agility, and, at the same time, adds more governance around the way we manage our data.”