HPL/SQL - Procedural SQL on Hadoop, NoSQL and RDBMS

====== Procedural SQL on Hadoop, NoSQL and RDBMS ====== HPL/SQL is an open source tool (Apache License 2.0) that implements procedural SQL language for Apache Hive, SparkSQL, Impala as well as any other SQL-on-Hadoop implementation, any NoSQL and any RDBMS. HPL/SQL is a hybrid and heterogeneous language that understands syntaxes and semantics of almost any existing procedural SQL dialect, and you can use with any database, for example, running existing Oracle PL/SQL code on Apache Hive and Microsoft SQL Server, or running Transact-SQL on Oracle, Cloudera Impala or Amazon Redshift. HPL/SQL language is compatible to a large extent with Oracle PL/SQL, ANSI/ISO SQL/PSM (IBM DB2, MySQL, Teradata i.e), Teradata BTEQ, PostgreSQL PL/pgSQL (Netezza), Transact-SQL (Microsoft SQL Server and Sybase) that allows you leveraging existing SQL/DWH skills and familiar approach to implement data warehouse solutions on Hadoop. It also facilitates migration of existing business logic to Hadoop. HPL/SQL is an efficient way to implement ETL processes in Hadoop. * [[why|Why HPL/SQL]] * [[doc|HPL/SQL Reference]] * [[download|Download]] * [[new|What's New]]