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Akram Chetibi

dblp:416/0185 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Distributed and cloud data management · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed and cloud data management
data sharing
0.912025
Delta Sharing: An Open Protocol for Cross-Platform Data Sharing · Proc. VLDB Endow. 2025
YearPublicationVenuePosition
2025 Delta Sharing: An Open Protocol for Cross-Platform Data Sharing
abstract
Organizations across industries increasingly rely on sharing data to drive collaboration, innovation, and business performance. However, securely and efficiently sharing live data across diverse platforms and adhering to varying governance requirements remains a significant challenge. Traditional approaches, such as FTP and proprietary in-data-warehouse solutions, often fail to meet the demands of interoperability, cost, scalability, and low overhead. This paper introduces Delta Sharing, an open protocol we developed in collaboration with industry partners, to overcome these limitations. Delta Sharing leverages open formats like Delta Lake and Apache Parquet alongside simple HTTP APIs to enable seamless, secure, and live data sharing across heterogeneous systems. Since its launch in 2021, Delta Sharing has been adopted by over 4000 enterprises and supported by hundreds of major software and data vendors. We discuss the key challenges in developing Delta Sharing and how our design addresses them. We also present, to our knowledge, the first large-scale study of production data sharing workloads offering insights into this emerging data platform capability.
Krishna Puttaswamy, Abhijit Chakankar, Zaheera Valani, Ramesh Chandra, William Chau, Mengxi Chen, Akram Chetibi, Tianyi Huang, Jonathan Keller, Celia Kung, Andy Liu, Charlene Lyu, Samarth Shetty, Steve Weis, Ryan Zhu, Reynold Xin, Matei Zaharia
Proc. VLDB Endow.8