An open standard for secure data sharing
Delta Sharing is the industry’s first open protocol for secure data sharing, making it simple to share data with other organizations regardless of which computing platforms they use.
Watch the Data+AI Summit 2021 Sharing Announcement
Open Data Sharing Keynote by Matei Zaharia, original creator of Apache Spark™ and MLFLow.
Key Features
Share live data directly
Easily share live data in your Delta Lake without copying it to another system.
Support diverse clients
Data recipients can directly connect to Delta Shares from Pandas, Apache Spark™, Rust, and other systems without having to first deploy a specific compute pattern. Reduce the friction to get your data to your users.
Security and governance
Delta Sharing allows you to easily govern, track, and audit access to your shared datasets.
Scalability
Share terabyte-scale datasets reliably and efficiently by leveraging cloud storage systems like S3, ADLS, and GCS.
Connecting to Delta Sharing
Load table as Pandas DataFrame
delta_sharing.load_as_pandas(…)
Load table as Spark DataFrame
delta_sharing.load_as_spark(…)
Load directly into Power BI
Delta Sharing Ecosystem
Join the Delta Lake Community
Delta Lake is supported by more than 190 developers from over 70 organizations across multiple repositories.
Chat with fellow Delta Lake users and contributors, ask questions and share tips.
Project Governance
Delta Lake is an independent open-source project and not controlled by any single company. To emphasize this we joined the Delta Lake Project in 2019, which is a sub-project of the Linux Foundation Projects. Within the project, we make decisions based on these rules.