Qumulo integrated its NeuralSearch with Databricks OpenSharing, letting Databricks users and AI agents access Qumulo storage when searching the Databricks repository.
Databricks rolled out OpenSharing in June as an open, cross-platform, vendor-neutral protocol for sharing AI assets including agent tools, models and unstructured data. Built on Delta Sharing, it adds Iceberg REST Catalog client compatibility to broaden data delivery coverage. Users can connect on-premises and private cloud storage via partners Everpure, MinIO, Qumulo and VAST Data.
Qumulo has launched its official OpenSharing integration. NeuralSearch is embedded storage search technology that converts unstructured data into searchable intelligence via SQL, natural language and semantic search, eliminating external crawlers and third-party indexing tools, and comes native to Qumulo Data Platform and Cloud Data Fabric. Paired with OpenSharing, clients gain a unified global data view in Unity Catalog covering all sites, regions and clouds for cross-team discovery, query and collaboration on tabular datasets.
Qumulo SVP of Product Brandon Whitelaw stated: “Copying huge datasets across environments for AI and analytics creates excessive costs, complexity and delays. NeuralSearch plus OpenSharing lets users securely explore, query and collaborate on cross-datacenter, edge and cloud data in real time without data migration. This joint solution speeds AI rollouts, streamlines governance and delivers faster insights on distributed data while preserving one authoritative data source.”
The firms note secure direct links between Databricks compute and Qumulo’s end-to-edge storage cut latency caused by frequent cross-region data replication. The open, lock-free architecture expands Qumulo’s addressable market across finance, life sciences and manufacturing, enabling smooth data pipelines between storage and AI analytics on all mainstream public clouds.
Core joint customer benefits:
1.Enterprise-wide open data access: Strong multi-format support for open table standards Apache Iceberg, Delta Lake and files like Parquet; unified file-object platform uniquely capable of consistent data projection across multi-region, multi-cloud deployments.
2.Centralized AI governance: All globally dispersed Qumulo data is managed under Databricks Unity Catalog for uniform security, oversight and full-lifecycle compliance.
3.Faster workflows: Smooth data handoff from Qumulo to Databricks shortens data product delivery timelines and cuts data cleaning workloads.
Databricks SVP of Product Ecosystem & Partnerships Stephen Orban commented: “Enterprises demand unrestricted use of internal data across tool ecosystems without proprietary lock-in. Our Qumulo partnership embodies Databricks’ open-platform vision, delivering a universal non-proprietary single source of truth and flexible cross-environment data access.”
As businesses scale agentic AI, AI applications and advanced analytics, governed open access to distributed data grows essential, driving Databricks’ OpenSharing initiative with Qumulo as a key storage partner.
MinIO already supports the protocol, embedding OpenSharing natively within its AIStor Table Sharing stack. Orban added MinIO’s integration connects on-prem data to Databricks without cumbersome replication, accelerating hybrid cloud analytics insights.
Everpure and VAST Data’s OpenSharing connectors remain in private preview. Databricks also received commitments from Cohesity, Commvault, HPE, NetApp, Nutanix, Rubrik and more to launch native integrations before 2026 year-end.
Footnote
Databricks Delta Sharing enables zero-copy external data sharing; Unity Catalog serves as its unified metadata management hub.
Beijing Qianxing Jietong Technology Co., Ltd.
Sandy Yang/Global Strategy Director
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