Cognite has partnered with Databricks to connect its industrial data platform with Databricks’ Data Intelligence Platform. The integration links Cognite Data Fusion® and Cognite Atlas AI™ with Databricks’ Agent Bricks, allowing companies to share high-quality, governed data without duplication. This connection simplifies access to operational data and helps organizations analyze it more efficiently.
The partnership is focused on industries with complex data needs, including energy, manufacturing, and heavy industry. By combining Cognite’s contextualized industrial data with Databricks’ analytics capabilities, organizations can work with real-time data to improve decision-making, operational efficiency, and safety.
Connecting Industrial Data and Analytics
Cognite converts raw industrial data into structured, contextualized information. Its platform links equipment, operational, and process data into a framework that engineers and analysts can use for actionable insights. Databricks provides a unified environment for analytics, machine learning, and data engineering. Together, the companies reduce complexity caused by siloed data and deliver a single source of truth for industrial operations.
Girish Rishi, CEO of Cognite, said, “Customers deserve the freedom to choose the best platforms to meet the specific needs of their mission-critical operations. This partnership with Databricks is a commitment to an open ecosystem, where we use open standards and close collaboration to tear down data silos and deliver best-in-class results.”
Andy Kofoid, President of Global Field Operations at Databricks, added, “Our joint customers are seeking a governed, open AI and data foundation. By integrating the Databricks Data Intelligence Platform, including products like Agent Bricks, and the Cognite Industrial AI and Data Platform, we’re empowering them to innovate without compromise.”
The integration uses open standards such as Delta Sharing and Apache Iceberg, allowing companies to connect data across both platforms while maintaining governance and avoiding vendor lock-in.
Inside the Integration
Cognite organizes data using semantic models and knowledge graphs, giving context to operational information. Databricks provides analytics and AI tools that allow teams to build models on actual operational data. Outputs from these models continuously enrich the Cognite platform, improving the quality and relevance of the data.
The zero-copy approach eliminates redundant data pipelines, reducing costs and simplifying operations. Engineers and data scientists can focus on analyzing information instead of moving it between systems. Predictive maintenance models can process live sensor data, alerting teams before equipment failures occur. Operational teams can monitor performance in near real-time, improving efficiency and reducing risks.
Rishi said, “Industrial AI applications depend on accurate, contextualized data. Our goal is to provide a single source of truth that drives measurable operational outcomes.” Kofoid added, “The integration ensures that AI and analytics operate on the same high-quality data engineers use every day. This alignment improves trust in AI outputs and accelerates their use in industrial settings.”
Operational Benefits
The integration provides organizations with reliable, governed access to operational data. Companies in energy, manufacturing, and heavy industry can track equipment performance, reduce downtime, and improve operational efficiency using real-time insights.
With this partnership, Cognite and Databricks join other industrial data providers like Siemens, GE Digital, and Honeywell in modernizing operations through integrated analytics. Using open standards and interoperable platforms, companies can work with both systems while keeping full control over their data and operations.
