Mat is a PhD researcher at TU Munich. His work on AnyBlox received the #VLDB2025 Best Paper Award

Read the paper ➡️ www.vldb.org/pvldb/vol18/...

How do data systems perform with user-defined functions?

#UDFBench benchmarks UDFs across data engines using @openairegraph.bsky.social , revealing bottlenecks and validating optimisations. Winner of the VLDB Best Experiment & Benchmark Paper 2025.

🔗 www.openaire.eu/udfbench-a-n...

#VLDB2025

Xiangyao is an Assistant Professor in the Computer Sciences Department at University of Wisconsin-Madison ( @wiscdb.bsky.social)

He received the #VLDB2025 Early Career Research Contribution Award

Read the paper ➡️ vldb.org/pvldb/vol18/...

VLDB 2025: AI Meets Enterprise Data Management — The Tabular FM Moment – Johannes Hoffart

At #VLDB2025 London I joined a panel on Neural Relational Data. My Take: LLMs solve some data management tasks, but the next wave is Foundation Models on Relational Data and Semantically Linked Tables. More on this and further trends in #AI and #DataManagement - www.hoffart.ai/vldb-2025-ai...

Efficient and Adaptive Estimation of Local Triadic Coefficients Characterizing graph properties is fundamental to the analysis and to our understanding of real-world networked systems. The local clustering coefficient, and the more recently introduced, local closu...

🎉 Happy to announce that today 4/09, I will present our work "Efficient and Adaptive Estimation of Local Triadic Coefficients" at #VLDB2025, a joint work with @aris-gionis.bsky.social. Join the talk or the poster session if you want to know more. The arXiv paper is out (arxiv.org/abs/2507.07536)!

VLDB 2025 Conference Contributions Researchers from five BIFOLD research groups will participate in the 51st International Conference on Very Large Data Bases (VLDB 2025), presenting a range of papers, tutorials, demos, and workshops. ...

VLDB 2025 kicks off soon. Meet BIFOLD researchers presenting:
🔹 3 research papers
🔹 5 demos
🔹 1 tutorial
🔹 5 workshops papers
🔹 1 workshop keynote

www.bifold.berlin/news-events/...

#VLDB2025 #BIFOLD #DataScience #DatabaseSystems #ML #AI

I’m honored and grateful to be recognized as a Distinguished Reviewer for #VLDB2025. 🎉

Congrats to all the other Distinguished Reviewers and Associate Editors — great to be in such company!

Honored to have received a Distinguished Associate Editor Award at @vldb.bsky.social 2025!

It was a pleasure to contribute to the review process, and I'm truly grateful for the recognition.

Congratulations to all awardees!

#VLDB2025

Title of the Demo, a short motivational example and the VLDB logo on top of a picture of famous buildings from London taken from the window of the conference center.

Greetings from London! This week, I am at #VLDB2025 to present our demo JUSTINE. Interested in how to store data in a structured representation – without designing a schema? Swing by tomorrow at 10:45 in demo session A1, Room Albert. Or read the paper here: vldb.org/pvldb/volume...

If you are at #VLDB2025 i London (@vldb) and interested in data management for graphs and knowledge graphs reach out and let's have a chat!

See you in London

Sadly, I won’t be at #VLDB2025 🇬🇧, but Xenofon Chatziliadis will present our #ADMS paper on GPU-accelerated optimization for streaming systems. 🚀

📅 Mon, 9:00–9:30 (Moore Room, 4F)

📄 Paper: www.vldb.org/2025/Worksho...

🔗 Builds on NEMO (VLDB 2024): www.vldb.org/pvldb/vol17/...

VLDB 2025 Conference Contributions Researchers from five BIFOLD research groups will participate in the 51st International Conference on Very Large Data Bases (VLDB 2025), presenting a range of papers, tutorials, demos, and workshops. ...

#VLDB2025 Congratulations to Matthias Boehm: honored as Distinguished Associate Editor.

www.bifold.berlin/news-events/...

🚀What do data transfer and space missions have in common?

A lot of parameters you need to tune in complex environments!
👉At #VLDB2025 we will showcase Enter the Warp, an interactive game that turns data transfer into a space mission using XDBC, our work presented at #SIGMOD2025

LIMAO: A Framework for Lifelong Modular Learned Query Optimization Query optimizers are crucial for the performance of database systems. Recently, many learned query optimizers (LQOs) have demonstrated significant performance improvements over traditional optimizers....

Excited to share that our paper “LIMAO: A Framework for Lifelong Modular Learned Query Optimization” has been accepted to #VLDB2025. Check its details in our preprint on arxiv.org/abs/2507.00188 and code on github.com/Tsihan/LIMAOLifeLongRLDB.

6/ Got takes?
📩 DM us or email ewu@cs.columbia.edu/raulcf@uchicago.edu

#SIGMOD2025 #VLDB2025 #databases #AI #academicresearch #CSResearch

Thrilled to share that our demo on building a "quantum-augmented query optimizer", fully integrated into the PostgreSQL database engine, has been accepted to #VLDB2025. This is the "first" system prototype showing how quantum acceleration can be integrated into "real-time" query execution.

Conformal Prediction for Verifiable Learned Query Optimization Query optimization is critical in relational databases. Recently, numerous Learned Query Optimizers (LQOs) have been proposed, demonstrating superior performance over traditional hand-crafted query op...

Excited to share that our paper “Conformal Prediction for Verifiable Learned Query Optimization” has been accepted to #VLDB2025. Check more details in our preprint on arXiv: arxiv.org/abs/2505.02284

#VLDB2025 Call for Demos! We're on the hunt for innovative demos on any topic within data management. Deliver a compelling demo and win the Best Demo Award! 🏆

📅 Submit by March 30, 2025
vldb.org/2025/?call-f...
@vldb.bsky.social