Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools
Summary: Cackle blends fast, scalable but costly cloud functions with slow-start, inexpensive VMs for analytical workloads. It delivers stable latency and cost across diverse workloads by blending these tiers to avoid provisioning cliffs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Matthew Perron (Massachusetts Institute of Technology)
- 2. Raul Castro Fernandez (University of Chicago)
- 3. David DeWitt (Massachusetts Institute of Technology)
- 4. Michael Cafarella (Massachusetts Institute of Technology)
- 5. Samuel Madden (Massachusetts Institute of Technology)
BibTeX Citation
@inproceedings{perron_sigmod23,
title = {{Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools}},
author = {Perron, Matthew and Fernandez, Raul Castro and DeWitt, David and Cafarella, Michael and Madden, Samuel},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3626720},
url = {https://dl.acm.org/doi/10.1145/3626720},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,864 | Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD | 2024 | VLDB | 5.4367919e-05 |
| 10,451 | FaaSBoard: Efficient Graph Processing with a Disaggregated Architecture on Serverless Services | 2026 | SIGMOD | 4.9793485e-05 |
| 10,928 | Real-time SQL Plan Management in Oracle | 2026 | VLDB | 4.9793485e-05 |
| 11,436 | Analyzing Near-Network Hardware Acceleration with Co-Processing on DPUs | 2025 | VLDB | 4.9793485e-05 |
| 11,460 | Off-the-shelf Data Analytics on Serverless | 2024 | CIDR | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 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 | 0.00041219077 |
| 233 | Amazon Redshift and the Case for Simpler Data Warehouses | 2015 | SIGMOD | 0.00023783585 |
| 479 | The Making of TPC-DS | 2006 | VLDB | 0.00017622471 |
| 680 | Amazon Redshift Re-invented | 2022 | SIGMOD | 0.00014828697 |
| 932 | Starling: A Scalable Query Engine on Cloud Functions | 2020 | SIGMOD | 0.00013008551 |
| 1,160 | P-Store: An Elastic Database System with Predictive Provisioning | 2018 | SIGMOD | 0.00011769228 |
| 1,763 | Lambada: Interactive Data Analytics on Cold Data Using Serverless Cloud Infrastructure | 2020 | SIGMOD | 9.7003359e-05 |
| 1,790 | POLARIS: The Distributed SQL Engine in Azure Synapse | 2020 | VLDB | 9.6272006e-05 |
| 3,647 | The evolution of Amazon Redshift (extended abstract) | 2021 | VLDB | 7.1375005e-05 |
| 5,005 | Using Cloud Functions as Accelerator for Elastic Data Analytics | 2023 | SIGMOD | 6.3177105e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 11,433 | CloudGlide: Deconstructing the Landscape of Cloud-Based Analytics | 2025 | VLDB |
| 2 | 5,087 | Releasing Cloud Databases from the Chains of Performance Prediction Models | 2017 | CIDR |
| 3 | 12,534 | COCCUS: Self-Configured Cost-Based Query Services in the Cloud | 2013 | SIGMOD |
| 4 | 12,069 | Serverless Query Processing on a Budget | 2020 | SIGMOD |
| 5 | 10,222 | Towards Resource-adaptive Query Execution in Cloud Native Databases | 2024 | CIDR |
| 6 | 9,839 | Cost-efficiency and Performance Robustness in Serverless Data Exchange | 2022 | SIGMOD |
| 7 | 932 | Starling: A Scalable Query Engine on Cloud Functions | 2020 | SIGMOD |
| 8 | 2,213 | Towards Cost-Optimal Query Processing in the Cloud | 2021 | VLDB |
| 9 | 5,005 | Using Cloud Functions as Accelerator for Elastic Data Analytics | 2023 | SIGMOD |
| 10 | 10,187 | Saving Money for Analytical Workloads in the Cloud | 2024 | VLDB |