Cheetah: A High Performance, Custom Data Warehouse on Top of MapReduce
Summary: Cheetah is a high-performance data warehouse on MapReduce/Hadoop. Virtual view over star/snowflake schemas enables a SQL-like language and an optimization stack with ~1 GB/s per node and seamless MapReduce integration. (summarized by gpt-5-nano on Feb 09 2026)
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,615 | The Performance of MapReduce: An In-depth Study | 2010 | VLDB | 0.00011137225 |
| 6,326 | Peta-Scale Data Warehousing at Yahoo! | 2009 | SIGMOD | 5.1041587e-05 |
| 3,709 | Multi-Query Optimization in MapReduce Framework | 2014 | VLDB | 6.8211506e-05 |
| 2,340 | Efficient Processing of Data Warehousing Queries in a Split Execution Environment | 2011 | SIGMOD | 9.001663e-05 |
| 2,476 | A Platform for Scalable One-Pass Analytics using MapReduce | 2011 | SIGMOD | 8.6907971e-05 |
| 3,120 | Llama: Leveraging Columnar Storage for Scalable Join Processing in the MapReduce Framework | 2011 | SIGMOD | 7.533894e-05 |
| 789 | Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing) | 2010 | VLDB | 0.00016602215 |
| 70 | Hive - A Warehousing Solution Over a Map-Reduce Framework | 2009 | VLDB | 0.00059744625 |
| 3,966 | Apache Hive: From MapReduce to Enterprise-grade Big Data Warehousing | 2019 | SIGMOD | 6.5782437e-05 |
| 6,280 | Cheetah: Accelerating Database Queries with Switch Pruning | 2020 | SIGMOD | 5.1239052e-05 |