Leveraging Compression in the Tableau Data Engine
Summary: Tableau Data Engine leverages compression to accelerate analytic queries by operating directly on compressed data. A unified, simpler design replaces specialized access paths and uses novel metadata extraction to guide the runtime optimizer. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Richard Wesley (Tableau Research)
- 2. Pawel Terlecki (Tableau Research)
BibTeX Citation
@inproceedings{wesley_sigmod14,
title = {{Leveraging Compression in the Tableau Data Engine}},
author = {Wesley, Richard and Terlecki, Pawel},
series = {{SIGMOD} '14},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2588555.2595639},
url = {https://dl.acm.org/doi/10.1145/2588555.2595639},
year = {2014}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,686 | On Improving User Response Times in Tableau | 2015 | SIGMOD | 8.25822e-05 |
| 3,592 | The FastLanes Compression Layout: Decoding >100 Billion Integers per Second with Scalar Code | 2023 | VLDB | 7.2774889e-05 |
| 6,028 | Hillview: A trillion-cell spreadsheet for big data | 2019 | VLDB | 6.0019322e-05 |
| 6,485 | Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent | 2019 | SIGMOD | 5.8657457e-05 |
| 9,038 | The FastLanes File Format | 2025 | VLDB | 5.3270943e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12 | C-Store: A Column-oriented DBMS | 2005 | VLDB | 0.00069513174 |
| 14 | MonetDB/X100: Hyper-Pipelining Query Execution | 2005 | CIDR | 0.0006312782 |
| 51 | Dremel: Interactive Analysis of Web-Scale Datasets | 2010 | VLDB | 0.0004291425 |
| 60 | Integrating Compression and Execution in Column-Oriented Database Systems | 2006 | SIGMOD | 0.0003955489 |
| 98 | Encapsulation of Parallelism in the Volcano Query Processing System | 1990 | SIGMOD | 0.00034510605 |
| 1,927 | Here are my Data Files. Here are my Queries. Where are my Results? | 2011 | CIDR | 9.4703074e-05 |
| 3,230 | An Analytic Data Engine for Visualization in Tableau | 2011 | SIGMOD | 7.6208919e-05 |
| 8,109 | Relational Support for Flexible Schema Scenarios | 2008 | VLDB | 5.4843869e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,665 | MorphStore: Analytical Query Engine with a Holistic Compression-Enabled Processing Model | 2020 | VLDB |
| 2 | 10,580 | GPU Acceleration of SQL Analytics on Compressed Data | 2026 | VLDB |
| 3 | 4,723 | Aggregation Algorithms for Very Large Compressed Data Warehouses | 1999 | VLDB |
| 4 | 5,755 | Compression Aware Physical Database Design | 2011 | VLDB |
| 5 | 3,336 | White-box Compression: Learning and Exploiting Compact Table Representations | 2020 | CIDR |
| 6 | 921 | Query Optimization In Compressed Database Systems | 2001 | SIGMOD |
| 7 | 3,230 | An Analytic Data Engine for Visualization in Tableau | 2011 | SIGMOD |
| 8 | 7,173 | CompressDB: Enabling Efficient Compressed Data Direct Processing for Various Databases | 2022 | SIGMOD |
| 9 | 8,436 | Adaptive Compression for Fast Scans on String Columns | 2021 | SIGMOD |
| 10 | 60 | Integrating Compression and Execution in Column-Oriented Database Systems | 2006 | SIGMOD |