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FEBench: A Benchmark for Real-Time Relational Data Feature Extraction

Summary: Analyzes real-time relational feature extraction (RTFE) workloads across 100+ public and industrial datasets, showing RTFE's SQL-like queries have markedly different operator mixes, query shapes, and latency/tail sensitivity than traditional DB benchmarks. Presents FEBench — a Gray-compliant domain benchmark with representative datasets, query templates, and an online request simulator — and uses it to compare OpenMLDB and Flink, revealing distinct latency and concurrency trade-offs. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13190
Venue
VLDB
Year
2023
Pagerank
4.3502487e-05
Overall Rank
9,364 | 34.86%
DOI
10.14778/3611540.3611550

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