Conference Information
VLDB 2026: International Conference on Very Large Data Bases
https://www.vldb.org/2026/Submission Date: |
2026-03-01 |
Notification Date: |
2026-04-15 |
Conference Date: |
2026-08-31 |
Location: |
Boston, Massachusetts, USA |
Years: |
52 |
CCF: a CORE: a* Viewed: 895935 Tracked: 235 Attend: 24
Call For Papers
The Very Large Data Bases (VLDB) is a premier annual international forum for data management, scalable data science, and database researchers, vendors, practitioners, application developers, and users. The forthcoming VLDB 2026 conference is poised to deliver a comprehensive program, featuring an array of research talks, keynote and invited talks, panels, tutorials, demonstrations, industrial tracks, and workshops. It will cover a spectrum of research topics related to all aspects of data management, where systems issues play a significant role, such as data management system technology and information management infrastructures, including their very large scale of experimentation, novel architectures, and demanding applications as well as their underpinning theory. Key areas of interest for PVLDB include, but are not limited to, data mining and analytics, data privacy and security, database engines, database performance and manageability, distributed database systems, graph and network data, information integration and data quality, languages, machine learning, ai, and databases, novel database architectures, provenance and workflows, specialized and domain-specific data management, text and semi-structured data, and user interfaces. These thematic pillars represent the foundational elements underpinning the technological landscape of the emerging applications of the 21st century. The VLDB 2026 conference will take place from Aug 31st to 4th September, 2026 in Boston, MA, USA.
Last updated by Dou Sun in 2025-04-04
Best Papers
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| CCF | CORE | QUALIS | Short | Full Name | Submission | Notification | Conference |
|---|---|---|---|---|---|---|---|
| a | a* | a1 | SIGMOD | ACM Conference on Management of Data | 2025-10-10 | 2026-01-04 | 2026-05-31 |
| b | a* | b1 | WSDM | International Conference on Web Search and Data Mining | 2025-08-07 | 2025-10-23 | 2026-02-22 |
| b2 | MLDM | International Conference on Machine Learning and Data Mining | 2025-02-15 | 2025-03-20 | 2025-07-18 | ||
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| b | b1 | TPDL | International Conference on Theory and Practice of Digital Libraries | 2020-04-03 | 2020-05-15 | 2020-08-25 | |
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| c | c | b1 | WebDB | International Workshop on the Web and Databases | 2018-02-09 | 2018-03-14 | 2018-06-10 |
| a | a* | VLDB | International Conference on Very Large Data Bases | 2026-03-01 | 2026-04-15 | 2026-08-31 |
| Short | Full Name | Conference |
|---|---|---|
| SIGMOD | ACM Conference on Management of Data | 2026-05-31 |
| WSDM | International Conference on Web Search and Data Mining | 2026-02-22 |
| MLDM | International Conference on Machine Learning and Data Mining | 2025-07-18 |
| SSTD | International Symposium on Spatial and Temporal Databases | 2025-08-25 |
| TPDL | International Conference on Theory and Practice of Digital Libraries | 2020-08-25 |
| PSD | Privacy in Statistical Databases | 2020-09-23 |
| IDA | International Symposium on Intelligent Data Analysis | 2015-10-22 |
| SBBD | Brazilian Symposium on Databases | 2016-10-04 |
| WebDB | International Workshop on the Web and Databases | 2018-06-10 |
| VLDB | International Conference on Very Large Data Bases | 2026-08-31 |
Related Journals
| CCF | Full Name | Impact Factor | Publisher | ISSN |
|---|---|---|---|---|
| c | Distributed and Parallel Databases | 1.500 | Springer | 0926-8782 |
| IEEE Transactions on Very Large Scale Integration (VLSI) Systems | 2.800 | IEEE | 1063-8210 | |
| c | Intelligent Data Analysis | 0.900 | IOS Press | 1088-467X |
| Big Data Research | 3.500 | Elsevier | 2214-5796 | |
| ACM SIGMIS Database | ACM | 0095-0033 | ||
| Journal of Memory and Language | 2.900 | Elsevier | 0749-596X | |
| E-Learning and Digital Media | SAGE | 2042-7530 | ||
| a | ACM Transactions on Database Systems | 2.200 | ACM | 0362-5915 |
| Enterprise Information Systems | 4.400 | Taylor & Francis | 1751-7575 | |
| a | IEEE Transactions on Knowledge and Data Engineering | 8.9 | IEEE | 1041-4347 |
| Full Name | Impact Factor | Publisher |
|---|---|---|
| Distributed and Parallel Databases | 1.500 | Springer |
| IEEE Transactions on Very Large Scale Integration (VLSI) Systems | 2.800 | IEEE |
| Intelligent Data Analysis | 0.900 | IOS Press |
| Big Data Research | 3.500 | Elsevier |
| ACM SIGMIS Database | ACM | |
| Journal of Memory and Language | 2.900 | Elsevier |
| E-Learning and Digital Media | SAGE | |
| ACM Transactions on Database Systems | 2.200 | ACM |
| Enterprise Information Systems | 4.400 | Taylor & Francis |
| IEEE Transactions on Knowledge and Data Engineering | 8.9 | IEEE |