Anaconda Partners with Databricks to Bridge Security and Governance Gaps in Enterprise AI Development

Open Source Champions Join Forces to Accelerate Enterprise AI Adoption with Streamlined Data Science Workflows and Enhanced Security and Compliance

AUSTIN, TX (June 9, 2025) — Anaconda Inc., the leader in advancing AI with open source, today announced a go-to-market partnership and native integration with Databricks, the Data and AI company. By combining Anaconda’s AI Platform delivering secure, curated open source Python packages with the scale, performance, and governance of the Databricks Data Intelligence Platform – enterprises will experience a new standard of enterprise-ready AI development with enhanced governance.

Today’s enterprises invest millions in AI adoption, but they still struggle to deploy successfully due to three critical challenges: dependency blindspots creating a productivity imperative, crippling vulnerabilities expanding the risk surface, and a lack of visibility and confidence in delivering production-ready results. IDC Research predicts that 80% of AI project failures this year will result from these obstacles. Organizations need stability, consistency, and control to build AI systems at scale, not just experimentation environments alone.

The availability of Anaconda’s AI Platform delivering an enterprise-grade Python ecosystem natively within Databricks Runtime brings together the best of open source and enterprise-grade security into one seamless experience, enabling developers to deploy and scale AI/ML applications confidently with reduced friction, accelerated time-to-value, and improved governance and compliance.

”This partnership addresses one of the biggest challenges of AI production deployment today: combining the speed of open source experimentation with the rigor of enterprise security, governance, and compliance requirements,” said Stephen Orban, SVP of Product Ecosystem and Partnerships at Databricks. “Together, we’re removing key barriers around Python package governance and open source security for enterprises seeking to accelerate AI adoption.”

Anaconda and Databricks are partnering to empower enterprises to build, scale, and govern AI solutions with confidence. This unique partnership delivers the only end-to-end solution offering enterprise-grade Python open-source governance and reproducibility—from curated package selection to secure, compliant model deployment within the Databricks Data Intelligence Platform. Joint customers will benefit from faster time-to-value and more streamlined AI/ML workflows, enabled by the elimination of dependency conflicts with frictionless collaboration across their teams.

“Our collaboration with Databricks marks a major milestone in accelerating enterprise AI adoption and advancing open-source innovation at scale,” said Barry Russell, SVP of Partnerships at Anaconda. “By bringing together Anaconda’s trusted AI Platform and open-source ecosystem with the power of the Databricks Data Intelligence Platform, we’re enabling organizations to build, deploy, and scale AI applications faster and more securely—while maintaining strict compliance and governance. This partnership accelerates enterprise adoption across industries to harness the full potential of open-source AI with confidence and agility.”

Learn more about what the Anaconda and Databricks partnership can mean for your enterprise AI strategy by scheduling a demo today.

About Anaconda

With more than 45 million users, Anaconda is the most popular operating system for AI providing access to the foundational open-source Python packages used in modern AI, data science and machine learning through a seamless platform. We pioneered the use of Python for data science, championed its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open-source for competitive advantage, groundbreaking research, and a better world. To learn more visit https://www.anaconda.com.

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