| Day 2 : Tuesday, Sept 2 |
| Room |
Albert |
Victoria |
Fleming |
Burton
and
Redgrave |
Moore |
Westminster |
St James |
Abbey |
Rutherford |
Gielgud |
Olivier |
Wordsworth |
Registration |
| Floor |
2F |
2F |
3F |
2F |
4F |
4F |
4F |
4F |
4F |
2F |
2F |
4F |
GF |
| 7:30 - 8:30 |
Welcome
Refreshments & Sponsor Booths
Room: Britten |
Registration
Desk
7:30 - 16:00
Ground Floor |
| 8:30 - 9:15 |
Opening
Session: Welcome by VLDB 2025 General Chairs, Remarks by Program Chairs, Best
Meta/Reviewer Awards, Best Paper Awards
Room: Fleming & Whittle |
| 9:15 - 10:15 |
Keynote 1 (by Stratos Idreos, Harvard University) : Alphabets, Grammars, Calculators,
and the End of Hand-Crafted Systems
Room: Fleming & Whittle |
| 10:15 - 10:45 |
Coffee
Break & Sponsor Booths
Room: Britten |
| 10:45
-12:15 |
D&I
Speed-mentoring |
Sponsor
Talks 1 |
Panel
1: Neural Relational Data: Tabular Foundation Models, LLMs... or both? |
Tutorial
1: Property Graph Standards: State of the Art & Open Challenges |
Industry
1: Distributed Systems |
Research
1: Cloud Data Management |
Research
2: Applied ML and AI for Data Management I |
Research
3: Vector Data Management I |
Research
4: Analytics over Different Data Types I |
Research
5: Data Cleaning and Preparation I |
Research
6: Graph Data Management I |
Research
7: Natural Language Interfaces to Data |
| 12:15 - 13:45 |
Lunch
Room: Britten |
| 13:45 -
15:15 |
D&I
Resume Review |
Sponsor
Talks 2 |
Panel
2: Where Does Academic Database Research Go From Here? |
Tutorial
2: Filtered Vector Search: State-of-the-art and Research Challenges |
Industry
2: Data Platforms for Analytics |
Research
8: Database Engines for OLAP |
Research
9: Query Processing and Optimization I |
Research
10: Data Mining and Analytics |
Research
11: Graph Data Privacy, Text and Semi-Structured Data Management |
Research
12: Time Series Data I |
Research
13: Graph Data Management II |
Research
14: User Interfaces for Data Exploration and Explainable AI |
| 15:15 - 15:45 |
Coffee
Break & Sponsor Booths
Room: Britten |
| 15:45 -
17:15 |
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Sponsor
Talks 3 |
Poster
Setup |
Tutorial
3: Data Discovery in Data Lakes: Operations, Indexes, Systems |
Industry
3: Document, Graph, and Vector Databases |
Research
15: Views, Indexing, and Search I |
Research
16: Query Processing and Optimization II |
Research
17: Applied ML and AI for Data Management II |
Research
18: Data Privacy and Security I |
Research
19: Time Series Data II |
Research
20: Road Networks, Social Networks |
Research
21: Specialized and Domain-Specific Data Management |
| 17:15 - 18:30 |
Poster
Session
Room: Whittle, Fleming & Britten |
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| Day 3 : Wednesday, Sept 3 |
| Room |
Albert |
Victoria |
Fleming |
Burton
and
Redgrave |
St James |
Westminster |
Moore |
Abbey |
Rutherford |
Gielgud |
Olivier |
Wordsworth |
Registration |
| Floor |
2F |
2F |
3F |
2F |
4F |
4F |
4F |
4F |
4F |
2F |
2F |
4F |
GF |
| 7:30 - 8:30 |
Welcome
Refreshments & Sponsor Booths
Room: Britten |
Registration
Desk
7:30 - 16:00
Ground Floor |
| 8:30 - 9:15 |
VLDB
Endowment Awards and Talks: Test of Time, Early Career, Women in DB
Research
Room: Fleming & Whittle |
| 9:15 - 10:15 |
Keynote
2 (by Juliana Freire, NYU) : Bridging Disciplines in Data Management Research
to Solve Complex Data Problems
Room: Fleming & Whittle |
| 10:15 - 10:45 |
Coffee
Break & Sponsor Booths
Room: Britten |
| 10:45 -12:15 |
Demo
A1 |
Demo
A2 |
Panel
3: Beyond Incrementalism: How to Change the World Through Data Systems
Research |
Tutorial
4: When Entity-Relationship Models Meet Graph Databases |
Industry
4: Machine Learning, AI, and Databases |
Research
22: Views, Indexing, and Search II |
Research
23: Applied ML and AI for Data Management III |
Research
24: Database Engines I |
Research
25: Time Series Data III |
Research
26: Distributed Transactions I |
Research
27: Graph Data Management III |
Research
28: Social Networks |
| 12:15 - 13:45 |
Lunch
Room: Britten |
| 13:45 -
15:15 |
Demo
B1 |
Demo
B2 |
Tutorial
5: Large Language Models for Spatial Analysis Queries |
Tutorial
6: Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods |
Industry
5: Transactions and Concurrency Control |
Research
29: Learned Database Systems |
Research
30: Information Integration and Data Quality I |
Research
31: Vector Data Management II |
Research
32: Data-centric Machine Learning |
Research
33: Data Stream Mining |
Research
34: Graph Data Management IV |
Research
35: Database Engines for Graphs |
| 15:15 - 15:45 |
Coffee
Break & Sponsor Booths
Room: Britten |
| 15:45 -
17:15 |
Demo
C1 |
Demo
C2 |
Poster
Setup |
Tutorial
7: Machine Learning for Graph Data Management and Query Processing |
Industry
6: Database Engines |
Research
36: Data Cleaning and Preparation II |
Research
37: Applied ML and AI for Graph, Temporal, and Trajectory Data |
Research
38: Data Management on Novel Hardware |
Research
39: Analytics over Different Data Types II |
Research
40: Time Series and Vector Data |
Research
41: Graph Data Management V |
Research
42: Data Models and Query Languages |
| 17:15 - 18:30 |
Poster
Session
Room: Whittle, Fleming & Britten |
| 19:30 - 23:00 |
Social
Evening (Ticketed Event)
National Gallery |
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