ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines
Summary: ELT-Bench is an end-to-end benchmark for AI agents orchestrating realistic ELT workflows across databases, tools, code, and SQL, spanning 100 pipelines, 835 sources, and 203 models. State-of-the-art agents generate only 11.3% of models, exposing substantial automation gaps. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tengjun Jin (University of Illinois Urbana-Champaign)
- 2. Yuxuan Zhu (University of Illinois Urbana-Champaign)
- 3. Daniel Kang (University of Illinois Urbana-Champaign)
BibTeX Citation
@article{jin_vldb26,
title = {{ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines}},
author = {Jin, Tengjun and Zhu, Yuxuan and Kang, Daniel},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {2},
pages = {84--98},
doi = {10.14778/3773749.3773750},
url = {https://doi.org/10.14778/3773749.3773750},
year = {2026}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,801 | BookRAG: A Hierarchical Structure-aware Index-based Approach for Retrieval-Augmented Generation on Complex Documents | 2026 | VLDB | 4.9769913e-05 |
| 10,841 | PrepBench: How Far Are We from Natural-Language-Driven Data Preparation? | 2026 | VLDB | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 52 | The Snowflake Elastic Data Warehouse | 2016 | SIGMOD | 0.00041210636 |
| 174 | Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation | 2024 | VLDB | 0.00026787121 |
| 533 | CodeS: Towards Building Open-source Language Models for Text-to-SQL | 2024 | SIGMOD | 0.00016818605 |
| 658 | DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing | 2025 | VLDB | 0.00015058738 |
| 2,592 | Text2SQL is Not Enough: Unifying AI and Databases with TAG | 2025 | CIDR | 8.243678e-05 |
| 3,311 | Cloud Analytics Benchmark | 2023 | VLDB | 7.4364696e-05 |
| 3,924 | Pneuma: Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End System | 2025 | SIGMOD | 6.9195146e-05 |
| 4,926 | TPCx-AI - An Industry Standard Benchmark for Artificial Intelligence and Machine Learning Systems | 2023 | VLDB | 6.3481677e-05 |
| 4,930 | TPC-DI: The First Industry Benchmark for Data Integration | 2014 | VLDB | 6.346494e-05 |
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