Databricks

A Smarter Approach to Unstructured Data for Analytics and AI

Databricks and ��ҹѰ�� together help organizations unlock the full value of unstructured data for AI, analytics, and modern data workflows. ��ҹѰ�� 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.

Why Databricks & ��ҹѰ��

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. ��ҹѰ�� removes these limitations by providing:

SECURE

Direct secure projection into Databricks

SEARCH

Storage-native search without external indexing

SUPPORT

Enterprise-grade support for both file and object data

GLOBAL CONSISTENCY

Strict global consistency across distributed environments

FLEXIBILITY

Single source of truth, eliminating lock-in, and preserving flexibility

CONSISTENCY

A single governed platform across edge, core, and cloud

Use cases

Unlock dark data and enable real-time discovery
across hybrid and multi-cloud infrastructures.
Access raw video, genomics, telemetry, and training
datasets instantly without waiting for IT-driven
migrations.
Provide governed access to large unstructured media
assets across distributed teams and cloud
environments.
Analyze NFS-based medical images directly without
conversion—improving fidelity while reducing time
and cost.