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Dremel: interactive analysis of web-scale datasets
Abstract
Dremel is a scalable, interactive ad-hoc query system for analysis of read-only nested data. By combining multi-level execution trees and columnar data layout, it is capable of running aggregation queries over trillion-row tables in seconds. The system scales to thousands of CPUs and petabytes of data, and has thousands of users at Google. In this paper, we describe the architecture and implementation of Dremel, and explain how it complements MapReduce-based computing. We present a novel columnar storage representation for nested records and discuss experiments on few-thousand node instances of the system.
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Cited by
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Metadata
- Authors
- Melnik, S., Gubarev, A., Long, J. J., Romer, G., Shivakumar, S., Tolton, M., & Vassilakis, T.
- Venue
- Proceedings of the VLDB Endowment
- Published
- 2010-09
- Volume
- 3
- Issue
- 1-2
- Pages
- 330-339
- ISSN
- 2150-8097 (ISSN-L)
- OpenAlex
- W2074935284
- Cited by
- 711
- References
- 0
- FWCI
- 51.16
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Dremel: interactive analysis of web-scale datasets. https://app.cochat.ai/papers/10.14778/1920841.1920886
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- Melnik, S., Gubarev, A., Long, J. J., Romer, G., Shivakumar, S., Tolton, M., & Vassilakis, T. (2010). Dremel: interactive analysis of web-scale datasets. Proceedings of the VLDB Endowment. https://doi.org/10.14778/1920841.1920886
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
