dotData Announces dotData Insight’s Native Support for Databricks and Snowflake on Microsoft Azure

dotData Announces dotData Insight’s Native Support for Databricks and Snowflake on Microsoft Azure

Press Release

SAN MATEO, California, March 24, 2026 – dotData, a pioneer and leading provider of AI-powered insight discovery platforms, today announced the native integration of its data analytics platform, “dotData Insight,” with Azure Databricks and Snowflake on Azure.

This announcement follows dotData’s previous native integrations with Databricks on AWS (dotData Insight 2.0) in November 2025 and Snowflake on AWS (dotData Insight 2.1) in January 2026. With this expansion to Microsoft Azure, organizations leveraging Azure as their primary cloud infrastructure can now seamlessly utilize dotData Insight for advanced data analysis.

Merging Microsoft Azure Data Foundations with dotData’s AI-Powered Analytics 

Many enterprises rely on Microsoft’s ecosystem, including Microsoft 365 and Azure-based identity management and security policies. Azure Databricks and Snowflake on Azure have seen rapid adoption because they enable organizations to build data foundations that align with existing Azure-based ID management, network configurations, and security protocols.

Through this new integration, dotData Insight connects directly to these platforms, allowing users to leverage dotData’s unique Automated Business Driver Discovery while maintaining their established Azure governance. This ensures that business insights are discovered within the organization’s secure cloud perimeter without ever moving data outside the Azure environment.

Key Features of dotData Insight on Databricks / Snowflake 

By integrating natively, dotData Insight accesses data directly on each platform to perform automated business driver discovery and analysis without copying data to external environments.

  • Seamless Governance: Integrates with Unity Catalog (Databricks) and Horizon Catalog (Snowflake) to inherit existing data governance and access control settings.
  • Integrated Workflow: Drivers and scorecards generated by dotData Insight are stored directly within the respective platform’s storage, making them immediately available for use with existing tools such as Databricks Notebooks, AI/BI Dashboards, and other Snowflake-based analytics tools.

Support for dotData Cloud Private – Self-Managed Deployment 

This Azure expansion supports the recently announced “dotData Cloud Private – Self-Managed” deployment model. In this model, customers build and operate the dotData environment within their own cloud infrastructure with technical support from dotData.

This is particularly beneficial for organizations such as financial institutions that, for security reasons, cannot grant external vendors access to their cloud environments. Organizations can now deploy dotData Insight within their own managed Azure environment, meeting strict data management requirements without changing existing network policies or exporting data.

dotData continues to expand its partnerships with leading data platforms like Databricks and Snowflake to support data-driven decision-making for enterprises worldwide.

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E-mail: contact@dotdata.com

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E-mail: marketing@dotdata.com
Phone: 415-460-7844

About dotData

dotData's pioneering Statistical AI technology addresses the most complex challenge of modern analytics and AI projects: uncovering the nuanced, hidden gems of insight that were previously trapped in unexplored data. Our award-winning engine navigates the most complex and convoluted data structures by connecting the dots within large-scale datasets in hours, rather than days, discovering high-value, transparent, and explainable signals. dotData enables organizations to eliminate human bias and reduce costs by exploring 100 times more signals, including those yet to be imagined. The power of dotData’s technology is providing game-changing insights for Fortune 500 organizations around the world.

Learn more about dotData Insight at https://dotdata.com/dotdata-insight/ or contact dotData at contact@dotdata.com.

For more information, visit https://dotdata.com/ and join the conversation on X/Twitter and LinkedIn.

dotData
dotData

dotData Automated Feature Engineering powers our full-cycle data science automation platform to help enterprise organizations accelerate ML and AI projects and deliver more business value by automating the hardest part of the data science and AI process - feature engineering and operationalization. Learn more at dotdata.com, and join us on Twitter and LinkedIn.