A Smarter Approach to Unstructured Data for Analytics and AI
Databricks and Qumulo together help organizations unlock the full value of unstructured data for AI, analytics, and modern data workflows. Qumulo delivers a globally distributed, high-performance data platform spanning core, cloud, and edge, while Databricks provides a unified environment for data engineering, analytics, and AI.
Additional Resources
Why Databricks & Qumulo
Native cloud object storage integrations often require organizations to move data before AI workflows, such as those in Databricks, can begin, while also relying on separate ETL pipelines, crawlers, and indexing infrastructure to locate and manage data. These approaches can add operational complexity and often provide limited support for file-based workflows. Qumulo removes these limitations by providing:
Direct secure projection into Databricks
Storage-native search without external indexing
Enterprise-grade support for both file and object data
Strict global consistency across distributed environments
Single source of truth, eliminating lock-in, and preserving flexibility
A single governed platform across edge, core, and cloud
Use Cases
Enterprise Analytics
Unlock dark data and enable real-time discovery
across hybrid and multi-cloud infrastructures.
AI/ML Training Pipelines
Access raw video, genomics, telemetry, and training
datasets instantly without waiting for IT-driven
migrations.
Media & Entertainment
Provide governed access to large unstructured media
assets across distributed teams and cloud
environments.
Healthcare & Life Sciences
Analyze NFS-based medical images directly without
conversion—improving fidelity while reducing time
and cost.
