SqlDBM for BI developers, BI consultants and data architects
Create, modify, and maintain your cloud-based data warehouse. Midhun Paul at PwC reports SqlDBM cuts modeling time by twenty-five percent by removing much of the manual, repetitive work BI teams face.
Use SqlDBM for Snowflake, Synapse and Redshift
SqlDBM helps you develop or transition to supported cloud data warehouses such as Snowflake, Synapse, and Redshift. In 2019 SqlDBM became the first online modeling tool to support Snowflake projects, and native reverse and forward engineering is why over 300 Snowflake clients rely on it today, with SqlDBM available directly as a Snowflake Premier Partner Connect member. Whether you want to migrate your existing enterprise data warehouse and data lake or build a new data warehouse, SqlDBM’s functionality is designed for the BI professionals and it provides all users with cutting-edge capabilities. And all that without writing a single line of code.
Data warehouse with forward & reverse engineering
Design and forward engineer all objects from your model into the cloud data warehouse of your choice. John Holland Group, one of Australia’s largest infrastructure firms with 70+ years of data, completed its Databricks cloud migration in nine months using SqlDBM as the authoritative source for its gold-layer models. Use the SqlDBM reverse engineering feature to produce a graphical representation of your data warehouse objects and the relationships between them. Make appropriate modifications and then export back to the data warehouse.
Collaborate with your team
Work remotely with your team and stakeholders in the same project and stay in sync across locations. Mercadona, Spain’s largest supermarket chain, governs an Enterprise Data Model of nearly 5,000 tables in SqlDBM, with technical leads using it as the shared template for its Dato Unico single-source-of-truth strategy.
Document your data warehouse and share with business users
To fully support model governance and BI efforts, SqlDBM lets you document, share, and export any data definitions across large-scale integration, master data management, data quality, and analytics initiatives. Les Mills uses SqlDBM as its all-in-one tool for development, discovery, governance, and CI/CD across 1,000+ Snowflake tables, chosen after erwin was rejected over usability and maintenance trade-offs. for consistency, clarity and artifact reuse across large-scale data integration, master data management, data quality, metadata management, Big Data, and analytics initiatives.
Complete data warehouse development lifecycle with alter script
SqlDBM provides the alter script feature to incorporate changes into an existing database or data warehouse design and keep it in sync through Git and CI/CD. As a Databricks Validated Data Partner, SqlDBM is described in Databricks’ own SQL engineering blog as a fully cloud-based collaborative environment that replaces isolated, locally installed modeling. This is vital to ensure that your database can be easily kept up-to-date with your ever-evolving data model. Apply alter script on a model to synchronize changes SqlDBM and your database.
Trusted by data teams globally
Trusted by data teams globally, with 400,000+ users across hundreds of enterprises including DocuSign, SurveyMonkey, DirecTV, Sophos, Hulu, Zendesk, SAS, Sanofi, and Pfizer.
SqlDBM was named Database Modeling Solution of the Year by the Data Breakthrough Awards two years running, in both the 2023 and 2024 programs, judged by an independent panel of data science and technology experts.
