The evolution from Delta Sharing to OpenSharing marks a pivotal advancement in secure, zero-copy sharing of live data and AI assets across clouds and platforms, emphasizing open protocols and vendor neutrality for more diverse enterprise needs.
- Supports live sharing of AI models, agent skills, and unstructured assets
- Enables seamless collaboration across clouds, on-premises, and multiple platforms
- Introduces vendor-neutral governance and compatibility with Apache Iceberg
Infrastructure signal
The transition from Delta Sharing to OpenSharing broadens infrastructure scope from sharing structured tables to encompassing the full range of AI assets including models, agent skills, and unstructured data. This shift reflects growing enterprise demands for zero-copy, governed access that spans hybrid and multi-cloud environments while preserving real-time data delivery without replication.
Additionally, OpenSharing introduces support for the Apache Iceberg format and enables sharing assets hosted in on-premises or private cloud environments alongside cloud-based platforms. These enhancements reduce data migration overhead and introduce flexibility in deployment architectures where organizations maintain distributed data estates but require unified, governed access.
Developer impact
Developers gain an expanded toolkit for collaborative workflows that unify AI model sharing with traditional data sets under a vendor-neutral protocol. The shift enables direct queries and interactions with shared assets from diverse tools including Apache Spark, Power BI, and pandas, enhancing productivity by removing platform lock-in and inconsistencies in asset management.
Open source Unity Catalog, a critical part of this ecosystem, empowers developers by standardizing governance and metadata management across the broader asset range. This improves transparency and security while simplifying integration, deployment, and lifecycle management of shared AI and data artifacts, leading to more agile and controlled development cycles.
What teams should watch
Teams responsible for cloud cost optimization should monitor how zero-copy sharing under OpenSharing can reduce data duplication and egress charges by allowing real-time access without data movement. Observability and platform teams will need to update monitoring and access controls to handle the broader variety of shared asset types and their hybrid deployment contexts.
Data engineering, AI, and platform teams should evaluate integration pathways for Apache Iceberg compatibility and how OpenSharing's open governance model via Unity Catalog can be leveraged to ensure compliance and facilitate seamless, audited asset sharing across organizational boundaries and technology stacks.