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20182026
most citedLearned Cardinalities: Estimating Correlated Joins with Deep Learning

162 citations · 403 across the 28 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.DB2025

Redbench: Workload Synthesis From Cloud Traces

Johannes Wehrstein, Roman Heinrich, Mihail Stoian +5

Workload traces from cloud data warehouse providers reveal that standard benchmarks such as TPC-H and TPC-DS fail to capture key characteristics of real-world workloads, including…

cs.DB2025

SemBench: A Benchmark for Semantic Query Processing Engines

Jiale Lao, Andreas Zimmerer, Olga Ovcharenko +12

We present a benchmark targeting a novel class of systems: semantic query processing engines. Those systems rely inherently on generative and reasoning capabilities of state-of-the…

cs.DB2025

Instance-Optimized String Fingerprints

Mihail Stoian, Johannes Thürauf, Andreas Zimmerer +2

Recent research found that cloud data warehouses are text-heavy. However, their capabilities for efficiently processing string columns remain limited, relying primarily on techniqu…

cs.DB2025

Parachute: Single-Pass Bi-Directional Information Passing

Mihail Stoian, Andreas Zimmerer, Skander Krid +4

Sideways information passing is a well-known technique for mitigating the impact of large build sides in a database query plan. As currently implemented in production systems, side…

cs.DB2025★ 1 cited

Redbench: A Benchmark Reflecting Real Workloads

Skander Krid, Mihail Stoian, Andreas Kipf

Instance-optimized components have made their way into production systems. To some extent, this adoption is due to the characteristics of customer workloads, which can be individua…

cs.DB2025★ 6 cited

Pruning in Snowflake: Working Smarter, Not Harder

Andreas Zimmerer, Damien Dam, Jan Kossmann +3

Modern cloud-based data analytics systems must efficiently process petabytes of data residing on cloud storage. A key optimization technique in state-of-the-art systems like Snowfl…