VLDB 2026: Call for Contributions - Industrial Track

The Industrial Track of VLDB 2026 will cover all aspects of innovative, commercial, and industrial-strength (including open-source) data management systems and solutions. We also welcome submissions describing novel applications of data management systems and experiences in doing so for challenging industry problems. We require that at least one of the authors has a non-academic affiliation.

Submission Guidelines

The submissions to this track may be up to 12 pages long (excluding references). The papers should be prepared using the VLDB 2026 paper formatting guidelines as specified at Formatting. Submissions to the Industrial track are required to include all author names and affiliations. After a paper is accepted, the set of authors cannot be changed.

Submissions must be made electronically, in PDF format, to the conference submission site. It will be open for submission shortly.

Revision Phase

Unlike the Research Track, the revision phase in the Industrial Track will be akin to what is traditionally viewed as shepherding, with requests for limited changes only, and all changes being completed in a 2-week interval between the initial notification and the final decision.

Conflicts of Interest

To minimize biases in the evaluation process, we use CMT's conflict management system, through which authors need to flag any conflicts with members of the Industrial Track Program Committee. Regarding conflicts, the VLDB Industrial Track follows the same rules as the VLDB 2026 Research tracks. They are:

Each author is responsible for entering their own domain and individual PC conflicts on CMT. All authors of a paper (listed in the pdf) must register themselves in CMT and declare their individual domain and PC conflicts at the time of submission. It is the full responsibility of all authors of a paper to identify and declare all conflicts of interest with members of the PC prior to the submission deadline. Submissions with undeclared conflicts or spurious conflicts will be desk-rejected.

You can mark your domain and individual PC conflicts by clicking on your name (upper right-hand side on CMT) and selecting "Personal Conflicts". An author's declared conflicts will be automatically applied to all of their submissions.

X and Y have a conflict of interest (CoI) if any of the following apply:

Important Dates (deadlines are end-of-day in Anywhere on Earth (AoE) time zone)

Industrial Track PC Chairs

Arnd Christian König, Microsoft Research, USA
Efthymia Tsamoura, Huawei Labs, UK
Hannes Voigt, Neo4j, Germany

Industrial Track PC Members

A. Jesse Jiryu Davis, MongoDB
Alekh Jindal, Tursio
Alexander Böhm, SAP SE
Alin Deutsch, UC San Diego & TigerGraph
Allison Holloway, Oracle
Anderson Chaves Carniel, Huawei Technologies R&D (UK) Ltd.
Anisoara Nica, SAP SE, Waterloo, Canada
Bailu Ding, Microsoft Research
Bolin Ding, Data Analytics and Intelligence Lab, Alibaba Group
Boris Motik, University of Oxford
Byungchul Tak, Kyungpook National University
Calisto Zuzarte, IBM
Campbell Fraser, Google
Christos Christodoulopoulos, Information Commissioner's Office
Clemens Lutz, NVIDIA
Cong Yan, Snowflake
Danica Porobic, Oracle
Dirk Habich, TU Dresden
Fabian Hueske, Confluent Inc.
Hanuma Kodavalla, Microsoft
Hesam Shahrokhi, RelationalAI
Ismail Oukid, Snowflake Computing
Jan Hidders, Birkbeck, University of London
Jia Li, Edinburgh Research Center, Central Software Institute, Huawei
Jie Song, ByteDance
Jiexing Li, Databricks
Jim Webber, Neo4j
Justin Levandoski, Google
Kai Wang, Shanghai Jiao Tong University
Lev Novik, Databricks
Marcus Paradies, LMU Munich
Maria Krommyda, Huawei ERC
Matteo Interlandi, Microsoft
Matthaios Olma, MongoDB
Meichun Hsu, Oracle America
Milos Nikolic, University of Edinburgh
Nicolas Bruno, Microsoft
Norman May, SAP SE
Paris Carbone, KTH Royal Institute of Technology
Pavel Klinov, Stardog Union
Petra Selmer, Bloomberg
Raghav Kaushik, Microsoft
Rahul Potharaju, Databricks
Rebecca Taft, Cockroach Labs
Riccardo Tommasini, INSA Lyon - LIRIS
Rong-Hua Li, Beijing Institute of Technology
Sergey Melnik, Amazon
Silu Huang, Bytedance
Stefan Plantikow, Microsoft
Sudipto Das, Amazon Web Services
Supun Nakandala, Databricks Inc
Theodoros Rekatsinas, Apple
Tim Gubner, Huawei
Uta Störl, University of Hagen
Vladi Vexler, Huawei
Wei Ma, University of Glasgow
Yeounoh Chung, Google
Yongchao Liu, Ant Group
Ziyang Li, Johns Hopkins University
Zoi Kaoudi, IT University of Copenhagen