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
It was a pleasure to contribute to the review process, and I'm truly grateful for the recognition.
Congratulations to all awardees!
#VLDB2025
September 2, 2025 at 1:58 PM
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
It was a pleasure to contribute to the review process, and I'm truly grateful for the recognition.
Congratulations to all awardees!
#VLDB2025
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!
Congrats to all the other Distinguished Reviewers and Associate Editors — great to be in such company!
September 3, 2025 at 9:09 AM
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!
Congrats to all the other Distinguished Reviewers and Associate Editors — great to be in such company!
Azim Afroozeh gave a great talk at @vldb.bsky.social VLDB2025 in London on the FastLanes file format.
FastLanes compresses 1.4x better than Parquet/snappy and allows 40x faster reads on the PublicBI dataset!
Paper: vldb.org/pvldb/vol18/p4629-afroozeh.pdf
Code: github.com/cwida/FastLanes
FastLanes compresses 1.4x better than Parquet/snappy and allows 40x faster reads on the PublicBI dataset!
Paper: vldb.org/pvldb/vol18/p4629-afroozeh.pdf
Code: github.com/cwida/FastLanes
September 3, 2025 at 3:59 PM
Azim Afroozeh gave a great talk at @vldb.bsky.social VLDB2025 in London on the FastLanes file format.
FastLanes compresses 1.4x better than Parquet/snappy and allows 40x faster reads on the PublicBI dataset!
Paper: vldb.org/pvldb/vol18/p4629-afroozeh.pdf
Code: github.com/cwida/FastLanes
FastLanes compresses 1.4x better than Parquet/snappy and allows 40x faster reads on the PublicBI dataset!
Paper: vldb.org/pvldb/vol18/p4629-afroozeh.pdf
Code: github.com/cwida/FastLanes
🚀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
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
August 26, 2025 at 8:48 PM
🚀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
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
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
See you in London
August 31, 2025 at 10:08 AM
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
See you in London
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...
VLDB 2025: AI Meets Enterprise Data Management — The Tabular FM Moment – Johannes Hoffart
www.hoffart.ai
September 11, 2025 at 11:55 AM
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...
#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
📅 Submit by March 30, 2025
vldb.org/2025/?call-f...
@vldb.bsky.social
January 15, 2025 at 2:34 PM
#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
📅 Submit by March 30, 2025
vldb.org/2025/?call-f...
@vldb.bsky.social
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/...
📅 Mon, 9:00–9:30 (Moore Room, 4F)
📄 Paper: www.vldb.org/2025/Worksho...
🔗 Builds on NEMO (VLDB 2024): www.vldb.org/pvldb/vol17/...
August 29, 2025 at 6:03 PM
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/...
📅 Mon, 9:00–9:30 (Moore Room, 4F)
📄 Paper: www.vldb.org/2025/Worksho...
🔗 Builds on NEMO (VLDB 2024): www.vldb.org/pvldb/vol17/...
#VLDB2025 Congratulations to Matthias Boehm: honored as Distinguished Associate Editor.
www.bifold.berlin/news-events/...
www.bifold.berlin/news-events/...
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. ...
www.bifold.berlin
August 28, 2025 at 3:32 PM
#VLDB2025 Congratulations to Matthias Boehm: honored as Distinguished Associate Editor.
www.bifold.berlin/news-events/...
www.bifold.berlin/news-events/...
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/...
Read the paper ➡️ www.vldb.org/pvldb/vol18/...
www.vldb.org
March 25, 2026 at 1:09 PM
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/...
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
#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
January 28, 2026 at 1:29 PM
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
#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
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
🔹 3 research papers
🔹 5 demos
🔹 1 tutorial
🔹 5 workshops papers
🔹 1 workshop keynote
www.bifold.berlin/news-events/...
#VLDB2025 #BIFOLD #DataScience #DatabaseSystems #ML #AI
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. ...
www.bifold.berlin
September 3, 2025 at 11:31 AM
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
🔹 3 research papers
🔹 5 demos
🔹 1 tutorial
🔹 5 workshops papers
🔹 1 workshop keynote
www.bifold.berlin/news-events/...
#VLDB2025 #BIFOLD #DataScience #DatabaseSystems #ML #AI
🎉 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)!
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...
arxiv.org
September 4, 2025 at 6:42 AM
🎉 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)!
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
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...
arxiv.org
May 21, 2025 at 5:10 AM
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
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...
September 2, 2025 at 8:51 AM
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...
6/ Got takes?
📩 DM us or email ewu@cs.columbia.edu/raulcf@uchicago.edu
#SIGMOD2025 #VLDB2025 #databases #AI #academicresearch #CSResearch
📩 DM us or email ewu@cs.columbia.edu/raulcf@uchicago.edu
#SIGMOD2025 #VLDB2025 #databases #AI #academicresearch #CSResearch
July 7, 2025 at 2:25 PM
6/ Got takes?
📩 DM us or email ewu@cs.columbia.edu/raulcf@uchicago.edu
#SIGMOD2025 #VLDB2025 #databases #AI #academicresearch #CSResearch
📩 DM us or email ewu@cs.columbia.edu/raulcf@uchicago.edu
#SIGMOD2025 #VLDB2025 #databases #AI #academicresearch #CSResearch
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.
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....
arxiv.org
August 6, 2025 at 4:09 PM
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.
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.
May 29, 2025 at 6:29 PM
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.
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/...
He received the #VLDB2025 Early Career Research Contribution Award
Read the paper ➡️ vldb.org/pvldb/vol18/...
vldb.org
November 27, 2025 at 8:37 AM
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/...
He received the #VLDB2025 Early Career Research Contribution Award
Read the paper ➡️ vldb.org/pvldb/vol18/...
Tobias Schmidt (TUM) @vldb.bsky.social at VLDB2025 presented SQLStorm, which uses LLMs to generate a huge amount of complex queries
SQLStorm now has 18K different complex queries and runs on a large real-world dataset (stackoverflow)
paper: vldb.org/pvldb/vol18/...
code: github.com/SQL-Storm/SQ...
SQLStorm now has 18K different complex queries and runs on a large real-world dataset (stackoverflow)
paper: vldb.org/pvldb/vol18/...
code: github.com/SQL-Storm/SQ...
September 4, 2025 at 1:55 PM
Tobias Schmidt (TUM) @vldb.bsky.social at VLDB2025 presented SQLStorm, which uses LLMs to generate a huge amount of complex queries
SQLStorm now has 18K different complex queries and runs on a large real-world dataset (stackoverflow)
paper: vldb.org/pvldb/vol18/...
code: github.com/SQL-Storm/SQ...
SQLStorm now has 18K different complex queries and runs on a large real-world dataset (stackoverflow)
paper: vldb.org/pvldb/vol18/...
code: github.com/SQL-Storm/SQ...