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Integration of large-scale data processing systems and traditional parallel database technology
2019
Proceedings of the VLDB Endowment
In 2009 we explored the feasibility of building a hybrid SQL data analysis system that takes the best features from two competing technologies: large-scale data processing systems (such as Google MapReduce and Apache Hadoop) and parallel database management systems (such as Greenplum and Vertica). We built a prototype, HadoopDB, and demonstrated that it can deliver the high SQL query performance and efficiency of parallel database management systems while still providing the scalability, fault
doi:10.14778/3352063.3352145
fatcat:qnwfplmf3jgodaw7tsu3kwjsnq