Apache HAWQ is a Hadoop native SQL query engine that combines the key technological advantages of MPP 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)