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Cloud Analytics Benchmark
Summary: Analyzes Snowflake query traces vs TPC-H/TPC-DS, exposing workload skew, temporal fluctuations, and multi-tenant patterns overlooked by traditional benchmarks. Proposes CAB to model variability and multi-tenancy and evaluate cloud warehouses on user-centric cost/performance metrics.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 13005
- Venue
- VLDB
- Year
- 2023
- Pagerank
- 5.9751539e-05
- Overall Rank
- 4,717 | 67.19%
- DOI
-
10.14778/3583140.3583156
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 19 of 19 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 3,178 |
Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet |
2024 |
VLDB |
7.4325992e-05 |
| 3,644 |
BtrBlocks: Efficient Columnar Compression for Data Lakes |
2023 |
SIGMOD |
6.8854928e-05 |
| 6,604 |
MotherDuck: DuckDB in the cloud and in the client |
2024 |
CIDR |
4.9971118e-05 |
| 6,685 |
How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks |
2025 |
SIGMOD |
4.9627485e-05 |
| 7,876 |
Two Birds With One Stone: Designing a Hybrid Cloud Storage Engine for HTAP |
2024 |
VLDB |
4.6298182e-05 |
| 8,207 |
SQLStorm: Taking Database Benchmarking into the LLM Era |
2025 |
VLDB |
4.5583637e-05 |
| 8,415 |
Pruning in Snowflake: Working Smarter, Not Harder |
2025 |
SIGMOD |
4.5197687e-05 |
| 8,884 |
Workload Insights From The Snowflake Data Cloud: What Do Production Analytic Queries Really Look Like? |
2025 |
VLDB |
4.4283999e-05 |
| 9,232 |
AutoComp: Automated Data Compaction for Log-Structured Tables in Data Lakes |
2025 |
SIGMOD |
4.3690661e-05 |
| 9,981 |
Survivorship Bias in Industrial Database Workloads |
2026 |
CIDR |
4.1945683e-05 |
| 10,212 |
SQLBarber: A System Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,320 |
ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines |
2026 |
VLDB |
4.1945683e-05 |
| 10,405 |
Flux: Unifying Heterogeneous Infrastructure for Alibaba AnalyticDB |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,482 |
Fast and Scalable Data Transfer Across Data Systems |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,707 |
PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking |
2025 |
VLDB |
4.1945683e-05 |
| 10,726 |
Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries |
2025 |
VLDB |
4.1945683e-05 |
| 10,786 |
Freely Moving Between the OLTP and OLAP Worlds: Hermes – an High-Performance OLAP Accelerator for MySQL |
2025 |
VLDB |
4.1945683e-05 |
| 10,852 |
CloudGlide: Deconstructing the Landscape of Cloud-Based Analytics |
2025 |
VLDB |
4.1945683e-05 |
| 10,989 |
High-Performance Query Processing with NVMe Arrays: Spilling without Killing Performance |
2024 |
SIGMOD |
4.1945683e-05 |
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.
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Year |
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Pagerank |
| 7,889 |
Cost-Intelligent Data Analytics in the Cloud |
2024 |
CIDR |
4.6253386e-05 |
| 2,568 |
Towards Cost-Optimal Query Processing in the Cloud |
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8.5239227e-05 |
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White-Box OLAP Performance Modeling for the Cloud |
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CIDR |
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| 7,543 |
Cloud Databases: New Techniques, Challenges, and Opportunities |
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4.715241e-05 |
| 10,787 |
AnalyticDB-PG: A Cloud-native High-performance Data Warehouse in Alibaba Cloud |
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VLDB |
4.1945683e-05 |
| 9,973 |
End-to-End Declarative Data Analytics: Co-designing Engines, Interfaces, and Cloud Infrastructure |
2026 |
CIDR |
4.1945683e-05 |
| 8,884 |
Workload Insights From The Snowflake Data Cloud: What Do Production Analytic Queries Really Look Like? |
2025 |
VLDB |
4.4283999e-05 |
| 10,707 |
PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking |
2025 |
VLDB |
4.1945683e-05 |
| 3,753 |
Choosing A Cloud DBMS: Architectures and Tradeoffs |
2019 |
VLDB |
6.7871241e-05 |
| 3,178 |
Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet |
2024 |
VLDB |
7.4325992e-05 |