Apache HAWQ is a Hadoop native SQL query engine that combines the key technological advantages of the industry-leading parallel database with the scalability and convenience of Hadoop. HAWQ reads data from and writes data to HDFS natively. HAWQ delivers industry-leading performance and linear scalability. It provides users the tools to confidently and successfully interact with petabyte range data sets. HAWQ provides users with a complete, standards compliant SQL interface.

Research Papers

[1] Lei Chang et al: HAWQ: a massively parallel processing SQL engine in hadoop. SIGMOD Conference 2014: 1223-1234

[2] Mohamed A. Soliman et al: Orca: a modular query optimizer architecture for big data. SIGMOD Conference 2014: 337-348

[3] Lyublena Antova et al: Optimizing queries over partitioned tables in MPP systems. SIGMOD Conference 2014: 373-384

[4] Amr El-Helw et al: Optimization of Common Table Expressions in MPP Database Systems. PVLDB 8(12): 1704-1715 (2015)