Conference Information

PODS 2027: ACM SIGMOD Conference on Principles of DB Systems

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Submission Date:
2026-12-03 Due in 92 days
Notification Date:
2027-03-01
Conference Date:
2027-06-13
Location:
Huntington Beach, California, USA
Years:
46
CCF: B   ICORE: A*   QUALIS: A1   Viewed: 7155520   Tracked: 117   Attend: 13

Conference Partner Index (CP-I)

79.4 / 100
Ranked #204 of 5,647 conferences · Top 4%

#12 of 336 in Data Mining & Databases

Academic recognition (35%)
100
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
100
Community attention (10%)
68
Public record completeness (15%)
50

Inputs used: Listed as CCF B, QUALIS A1 · Editions on record: 46 · Researchers following it here: 117 · Researchers who opened this page in the past 24 months: 19

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 80% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-02

Call For Papers

PODS 2027 (ACM SIGMOD Conference on Principles of DB Systems) is a CCF B / ICORE A* / QUALIS A1 conference held in Huntington Beach, California, USA on 2027-06-13. The paper submission deadline is 2026-12-03. Acceptance notifications are sent on 2027-03-01.

The Principles of Database Systems (PODS) symposium series, held in conjunction with the SIGMOD conference series, provides a premier annual forum for the communication of new advances in the theoretical foundations of data management, traditional or nontraditional (see https://sigmod.org/pods-home/). The 2027 conference will be held in Huntington Beach, California on June 13 - 19, 2027. Mission The PODS community has a pivotal position in the research of computer science. It aims to provide a solid scientific basis for methods, techniques, and solutions for the data management challenges that continually arise in our data-driven society. It develops new ways of advancing data management to reflect the rich landscape of data requirements in applications nowadays. Our goal is to develop solutions that ensure high levels of efficiency, scalability, usability, expressiveness, robustness, security, clarity, and privacy, among others. The PODS community is an open space where researchers from various areas related to the principles of computer science can discuss, interact, and propose solutions to problems in data management. Scope PODS seeks scientific articles that present principled contributions to modeling, application and system building in the context of data management. Such articles might be based, among others, on establishing theoretical results, developing new concepts and frameworks that deserve further exploration, providing experimental work that sheds light on the scientific foundations of the discipline, or a rigorous analysis of important industry artifacts. At a time when computer science is increasingly data-centric, it is essential to promote an active exchange of tools and techniques between PODS and other communities focused on data management. PODS thus pays special attention to those papers that help in the urgent process of integrating data management techniques within broader computer science. Topics that fit the interests of the symposium include, but are not limited to: Database processing: Query evaluation, query optimization, schema management, distributed data processing, approximate data processing Database design: Data models, query languages, schemas, constraints Database access: Data structures, access methods, concurrency, transactions Data quality: Data cleaning, data discovery, data exploration Data analysis: Data mining, machine learning, information extraction, data streams Uncertainty: Incompleteness, inconsistency, ontological query answering, semi-structured data Interoperability: Mappings and views, data integration, data exchange, ontology-based data access Responsible data management: Access control, privacy, security, verification, ethical aspects of data management Connections between database principles and other disciplines
Last updated by Dou Sun on

Best Papers

YearBest Papers
2023Extremal Fitting Problems for Conjunctive Queries
2022Optimal Bounds for Approximate Counting
2022Convergence of Datalog over (Pre-) Semirings
2021Relative Error Streaming Quantiles
2020A Framework for Adversarially Robust Streaming Algorithms
2019On the Enumeration Complexity of Unions of Conjunctive Queries By Nofar Carmeli, Markus Kröll
2019Interventional Fairness: Causal Database Repair for Algorithmic Fairness
2019Efficient Logspace Classes for Enumeration, Counting, and Uniform Generation
2018SuRF: Practical Range Query Filtering with Fast Succinct Tries
2018Entity Matching with Active Monotone Classification
2017Tight Space-Approximation Tradeoff for the Multi-Pass Streaming Set Cover Problem
2017Dichotomies in Ontology-Mediated Querying with the Guarded Fragment
2016FAQ: Questions Asked Frequently
2015Parallel-Correctness and Transferability for Conjunctive Queries
2014Weaker Forms of Monotonicity for Declarative Networking: A More Fine-Grained Answer to the CALM-Conjecture
2013Verification of database-driven systems via amalgamation
2012Worst-case Optimal Join Algorithms
2011Data exchange beyond complete data
2010An optimal algorithm for the distinct elements problem
2009Size and treewidth bounds for conjunctive queries
2008Estimating PageRank on graph streams
2007Generalized hypertree decompositions: np-hardness and tractable variants
2006Two-variable logic on data trees and XML reasoning
2005On the complexity of division and set joins in the relational algebra
2005XML data exchange: consistency and query answering
2004Conditional XPath, the First Order Complete XPath Dialect
2003An information-theoretic approach to normal forms for relational and XML data
2002Monadic Datalog and the Expressive Power of Languages for Web Information Extraction
2001Optimal Aggregation Algorithms for Middleware
2000Auditing Boolean Attributes
1999Exact and Approximate Aggregation in Constraint Query
1998A Lower Bound Theorem for Indexing Schemes and Its Application to Multidimensional Range Queries
1998Expressiveness of Structured Document Query Languages Based on Attribute Grammars
1997On the complexity of database queries (extended abstract)

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