Databricks, the lakehouse company, today announced Databricks Lakehouse for Manufacturing, the first open, enterprise-scale, manufacturer-focused Lakehouse platform that brings together data and AI, delivering record-breaking performance for any analytics use case. The sheer volume of tools, systems, and architectures required to run a modern manufacturing environment makes secure data exchange and collaboration a major challenge, with over 70 percent of data projects in the proof-of-concept (PoC) phase stalled. Databricks’ Lakehouse for Manufacturing, available today, breaks down these silos and is purpose-built for manufacturers to access all of their data and make real-time decisions. Databricks’ Lakehouse for Manufacturing has been adopted by industry-leading organizations such as DuPont, Honeywell, Rolls-Royce, Shell, and Tata Steel.
Databricks’ latest industry-specific Lakehouse goes beyond the limitations of traditional data warehouses by offering built-in AI capabilities and out-of-the-box solutions that accelerate time-to-value for manufacturers and their partners. This includes powerful solutions for predictive maintenance, digital twins, supply chain optimization, demand forecasting, real-time IoT analytics, and more. A robust partner ecosystem and custom, partner-developed Brickbuilder solutions give customers even more choice in delivering real-time insights and impact across the value chain, at a lower total cost of ownership (TCO) than complex legacy technologies
“We used Databricks to use data and analytics to optimize inventory planning and position parts where they are needed based on the insights we gain from our connected engines in real-time and the usage patterns we see in our service network,” said Stuart Hughes, Chief Information and Digital Officer at Rolls-Royce Civil Aerospace. “This has helped us mitigate engine availability risks, reduce lead times for spare parts and make inventory turns more efficient – all of which enable us to offer TotalCare, the aviation industry’s premier Power-by-the-Hour (PHB) maintenance program, to offer.”
With Databricks, organizations can unlock the value of their existing investments and achieve AI at scale by unifying all of their data—regardless of type, source, frequency, or workload—onto a single platform. Built with robust data management and sharing, the Lakehouse for Manufacturing enables companies to deliver real-time insights for agile manufacturing and logistics across their entire ecosystem.
