Splice Machine Introduces PL/SQL Support for Oracle-to-Hadoop Migration

Splice Machine, provider of an SQL RDBMS powered by Hadoop and Spark, now supports native PL/SQL on Splice Machine. Announced at Strata + Hadoop World in NYC, the new capabilities are available through the Splice Machine Enterprise Edition.

The Splice Machine PL/SQL support has two components, according to the vendor. The compiler converts the PL/SQL into a type-checked and optimized runtime representation. In addition, the interpreter executes the optimized runtime representation with PL/SQL semantics so that users can ensure their application will behave the same on Splice Machine as it does on Oracle. It maintains a procedural context and handles scoping for variable de-referencing, iteration and conditional testing, and also dispatches DDL and DML to the Splice Machine RDBMS for execution.

The goal, the company says with PL/SQL support is to reduce the time and cost for companies to move big data workloads from Oracle databases.

Describing a key use case for the technology, Monte Zweben, CEO, Splice Machine, said that many customers are developing artificial intelligence applications that deploy machine learning models, but this real-time intelligence can be difficult to achieve in PL/SQL applications because of the time it takes to get data out of the engine into an analytical framework via ETL. Now,  he said, with this PL/SQL capability, applications can run their native application logic while running new machine learning processes on Splice Machine's RDBMS powered by Apache Spark and Apache Spark MLlib.

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