Carsten Binnig

Technical University of Darmstadt — Germany

Computer Science · Physical Sciences

29h-index3.4kcitations229works1.22yr avg
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Research Topics

Cloud Computing and Resource Management(64), Advanced Database Systems and Queries(56), Distributed systems and fault tolerance(42), Advanced Data Storage Technologies(41), Data Management and Algorithms(28)

Publications229 total

Using LLMs for data engineering in enterprises is challenging
Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt)·2026
HLR-SQL: Human-like reasoning for Text-to-SQL with the human in the loop
Information Systems·2026Open Access
PACMMOD V3, N6 (SIGMOD), December 2025: Editorial
Proceedings of the ACM on Management of Data·2025
PystachIO: Efficient Distributed GPU Query Processing with PyTorch over Fast Networks & Fast Storage
arXiv (Cornell University)·2025Open Access
Redbench: Workload Synthesis From Cloud Traces
arXiv (Cornell University)·2025Open Access
Towards Complex Table Question Answering Over Tabular Data Lakes (Extended Version)
Datenbank-Spektrum·2025Open Access
Is it Bigger than a Breadbox: Efficient Cardinality Estimation for Real World Workloads
arXiv (Cornell University)·2025Open Access
PACMMOD V3, N4 (SIGMOD), September 2025: Editorial
Proceedings of the ACM on Management of Data·2025
JUSTINE (JUST-INsert Engine): Demonstrating Self-Organizing Data Schemas
Proceedings of the VLDB Endowment·2025
Opening the Black-Box: Explaining Learned Cost Models for Databases
Proceedings of the VLDB Endowment·2025
Panel on Neural Relational Data: Tabular Foundation Models, LLMs... or Both?
Proceedings of the VLDB Endowment·2025
How SMPC Query Execution Can be Sped Up through Efficient and Flexible Intermediate Result Size Trimming
Proceedings of the VLDB Endowment·2025
PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing
Lecture notes in computer science·2025· 1 cited
Opening The Black-Box: Explaining Learned Cost Models For Databases
ArXiv.org·2025Open Access
JOB-Complex: A Challenging Benchmark for Traditional & Learned Query Optimization
arXiv (Cornell University)·2025Open Access
A Wake-Up Call for Kernel-Bypass on Modern Hardware
2025
An Analysis of AWS Nitro Enclaves for Database Workloads
2025
How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks
Proceedings of the ACM on Management of Data·2025· 2 citedOpen Access
Panel on AI for Future Databases: A New Beginning or a Boulevard of Broken Dreams?
2025
21 <sup>st</sup> International Workshop on Data Management on New Hardware (DaMoN)
2025
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Frequent Co-authors

Tim Kraska(20), Donald Kossmann(9), Emanuel Zgraggen(7), Tobias Ziegler(7), Andrew Crotty(6), Alex Galakatos(6), Uğur Çetintemel(6), Eric Lo(5), Zheguang Zhao(5), Benjamin Hilprecht(4), Erfan Zamanian(4), Muhammad El-Hindi(4), Christoph Pinkel(4), Philipp Eichmann(3), Eli Upfal(3), Abdallah Salama(3), Evgeny Kharlamov(3), Nathaniel Weir(3), Prasetya Ajie Utama(3), Amir Ilkhechi(3)