Poly'21: Polystore systems for heterogeneous data in multiple databases with privacy and security assurances

Co-located with VLDB 2021

Conference date: August 16, 2021

Location: Virtual (probably)


Important Dates:

June 1, 2021: Due date for full workshop papers submission 

June 15, 2021: Notification of paper acceptance to authors 

July 20, 2021: Workshop Presentation

August 20, 2021: Workshop (virtual)

August 20, 2021: Camera Ready Version of Article


Enterprises are routinely divided into independent business units to support agile operations. However, this leads to "siloed" information systems. Such silos generate a host of problems, such as:

-DISCOVERY of relevant data to a problem at hand. For example: Merck has 4000 (+/-) Oracle databases, a data lake, large numbers of files and an interest in public data from the web. Finding relevant data in this sea of information is a challenge.

-INTEGRATING the discovered data. Independently constructed schemas are never compatible.

-CLEANING the resulting data. A good figure of merit is that 10% of all data is missing or wrong.

-ENSURING EFFICIENT ACCESS to resulting data. At scale operations must be performed "in situ", and a good polystore system is a requirement

It is often said that data scientists spent 80% (or more) of their time on these tasks, and it is crucial to have better solutions.

In addition, the EU has recently enacted GDPR that will force enterprises to assuredly delete personal data on request. This "right to be forgotten" is one of several requirements of GDPR, and it is likely that GDPR-like requirements will spread to other locations, for example, California. In addition, privacy and security issues are increasingly an issue for large internet platforms. In enterprises, these issues will be front and center in the distributed information systems in place today.

Lastly, enterprise access to data in practice will require queries constructed from a variety of programming models. A "one size fits all" mentality just won't work in these cases.

At IEEE BigData'16, BigData'17, VLDB'18, VLDB'19, and VLDB’20 we organized workshops on Polystore systems. These successful workshops brought together experts from around the world working on novel advances in the field. Poly'21 will continue to focus on the broader real-world polystore problem, which includes data management, data integration, data curation, privacy, and security. In the past, conference proceedings have been published as a part of the Springer Lecture Notes in Computer Science. This year's workshop will be virtual.

Research topics included in the workshop:

Privacy, Security, and Policy in heterogeneous data management. 

Languages/Models for integrating disparate data such as graphs, arrays, relations

Query evaluation and optimization in polystore and other multi-DBMS systems

Efficient data movement and scheduling, failures and recovery for polystore analytics

High Performance/Parallel Computing Platforms for Big Data

Data Discovery, Integration, Cleaning, and Best Practices

Privacy and Access control in Polystore and multi-DBMS systems

Enterprise support for GDPR and similar privacy regulations

Policy implications of GDPR and similar privacy regulations

Mathematics for Polystore and other multi-DBMS systems

Demonstrations of new tools and techniques for heterogeneous data

We welcome submissions from various communities to exchange ideas and foster interactions that could advance state-of-the-art polystore systems and their supporting applications. Poly’21 features three types of submissions: (1) work-in-progress efforts; (2) position papers; (3) regular research papers; and (4) Lightning talks: A 2-page paper that briefly presents an interesting finding or idea. 


Please visit:

Workshop Organizers:

Vijay Gadepally, MIT Lincoln Laboratory

El Kindi Rezig, MIT CSAIL

Tim Kraska, MIT CSAIL

Timothy Mattson, Intel Corporation

Michael Stonebraker, MIT CSAIL