Verdict is developed primarily by the database group at the University of Michigan, Ann Arbor; however, we welcome anyone to join and contribute to our project. See below for more details on the contributors.
As a research group at a university, we are committed to staying as an open-source project. Our project is under the Apache License version 2.0; therefore, one can use our code free of charge for both commercial and non-commercial purposes with or without modifications.
Several multinational corporations are now testing Verdict on top of their own data analytics platforms, and our team is supporting them.
Mailing list, Bug Reports, Feature Requests
For feature requests, bug reports, etc., please open an issue at our Github repository. For all other discussions or suggestions, please use our Verdict Gitter chat. For all issues and discussions, we are notified via email.
Verdict is developed and maintained primarily by the database group at the University of Michigan, Ann Arbor. However, anyone is welcome to join and contribute to this project. You can simply fork our Github repository, make any changes you want, and send a pull request. We will merge your changes after a review. Thus far, the following people have contributed to this project.
|Yongjoo Park||University of Michigan, Ann Arbor|
|Barzan Mozafari||University of Michigan, Ann Arbor|
|Joseph Sorenson||University of Michigan, Ann Arbor|
|Junhao Wang||University of Michigan, Ann Arbor|
|Xiaoran Xu||University of Michigan, Ann Arbor|
|Wen He||University of Michigan, Ann Arbor|
|Idris Hanafi||University of Michigan, Ann Arbor|
|Dong Young Yoon||University of Michigan, Ann Arbor|
|Shucheng Zong||University of Michigan, Ann Arbor|
If you are a researcher, you are welcome to discuss your ideas with us. Send an email to either
email@example.com. This will help us find possible improvements for Verdict and change our development plans or module dependencies considering your ideas.
We are a leading research group in the area of approximate query processing and are tracking most of the relevant academic papers published in major database conferences, such as SIGMOD, VLDB, CIDR, ICDE, and so on. Find our research contributions in this page.