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 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,755 | Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD | 2024 | VLDB | 5.5519655e-05 |
| 10,236 | FaaSBoard: Efficient Graph Processing with a Disaggregated Architecture on Serverless Services | 2026 | SIGMOD | 5.093636e-05 |
| 11,080 | Analyzing Near-Network Hardware Acceleration with Co-Processing on DPUs | 2025 | VLDB | 5.093636e-05 |
| 11,112 | Off-the-shelf Data Analytics on Serverless | 2024 | CIDR | 5.093636e-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 |
|---|---|---|---|---|
| 66 | The Snowflake Elastic Data Warehouse | 2016 | SIGMOD | 0.00038561587 |
| 237 | Amazon Redshift and the Case for Simpler Data Warehouses | 2015 | SIGMOD | 0.0002369895 |
| 476 | The Making of TPC-DS | 2006 | VLDB | 0.00017860667 |
| 818 | Amazon Redshift Re-invented | 2022 | SIGMOD | 0.00013822916 |
| 939 | Starling: A Scalable Query Engine on Cloud Functions | 2020 | SIGMOD | 0.00013083524 |
| 1,218 | P-Store: An Elastic Database System with Predictive Provisioning | 2018 | SIGMOD | 0.00011621066 |
| 1,784 | Lambada: Interactive Data Analytics on Cold Data Using Serverless Cloud Infrastructure | 2020 | SIGMOD | 9.7726335e-05 |
| 1,925 | POLARIS: The Distributed SQL Engine in Azure Synapse | 2020 | VLDB | 9.4764398e-05 |
| 3,585 | The evolution of Amazon Redshift (extended abstract) | 2021 | VLDB | 7.2840127e-05 |
| 4,908 | Using Cloud Functions as Accelerator for Elastic Data Analytics | 2023 | SIGMOD | 6.4488784e-05 |
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| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 11,076 | CloudGlide: Deconstructing the Landscape of Cloud-Based Analytics | 2025 | VLDB |
| 2 | 4,987 | Releasing Cloud Databases from the Chains of Performance Prediction Models | 2017 | CIDR |
| 3 | 12,243 | COCCUS: Self-Configured Cost-Based Query Services in the Cloud | 2013 | SIGMOD |
| 4 | 11,767 | Serverless Query Processing on a Budget | 2020 | SIGMOD |
| 5 | 10,039 | Towards Resource-adaptive Query Execution in Cloud Native Databases | 2024 | CIDR |
| 6 | 9,664 | Cost-efficiency and Performance Robustness in Serverless Data Exchange | 2022 | SIGMOD |
| 7 | 939 | Starling: A Scalable Query Engine on Cloud Functions | 2020 | SIGMOD |
| 8 | 2,344 | Towards Cost-Optimal Query Processing in the Cloud | 2021 | VLDB |
| 9 | 4,908 | Using Cloud Functions as Accelerator for Elastic Data Analytics | 2023 | SIGMOD |
| 10 | 10,000 | Saving Money for Analytical Workloads in the Cloud | 2024 | VLDB |