Databricks offers three distinct methods for secure data and AI asset sharing—OpenSharing, Clean Rooms, and Marketplace—each suited to different partnership dynamics and technical requirements. Selecting the right tool can save engineering effort and protect sensitive data.
- OpenSharing cuts data duplication and simplifies real-time read access.
- Clean Rooms allow joint data computation without exposing entire datasets.
- Marketplace enables public distribution of data products to unknown consumers.
Infrastructure signal
Databricks’ OpenSharing shifts away from traditional data pipelines by granting consumers direct, read-only access to live assets without copying data, reducing storage overhead and update delays. This method supports diverse asset types including Delta and Iceberg tables, views, notebooks, and AI models, improving infrastructure efficiency and data freshness.
Clean Rooms introduce a neutral compute environment where multiple organizations run mutually approved code on their combined data without exposing full underlying datasets. This architecture protects sensitive information while enabling collaborative insights, increasing compliance and security. The Marketplace acts as a public exchange for distributing a wide variety of data products and software, encouraging broader adoption without pre-existing relationships.
Developer impact
Developers working with OpenSharing benefit from simplified workflows by eliminating the need to build and maintain external pipelines and credential systems. The real-time direct access reduces synchronization issues and accelerates development for BI integrations and AI workflows, lowering operational complexity.
What teams should watch
Cloud cost teams should monitor the impact of OpenSharing’s avoidance of duplicated storage and pipelines, which can significantly reduce total cost of ownership. They should also evaluate the computational cost of running workloads in Clean Rooms, as protected, multi-tenant environments may introduce different scaling characteristics.
Reliability teams need to ensure that direct access via OpenSharing maintains consistent uptime and performance since consumers connect live to source data. Monitoring and observability must be in place for Clean Rooms to detect any unauthorized compute activity or data leakage attempts within the controlled environment.
Product and platform teams should watch evolving partner relationship models to decide when an existing partnership calls for OpenSharing or Clean Rooms, versus when public distribution through the Marketplace drives revenue and adoption. API and asset versioning, as well as granular access controls, will be critical governance points to manage across all three sharing methods.