SHIFT automates the translation of legacy code when moving to Big Data environments

SHIFT is an Automated Code Translation Engine to automate the conversion of legacy code into various target languages, to run natively inside of Big Data environments, including Hadoop, Spark, R and in the Cloud.

SHIFT can accelerate the translation of up to 80% of the most complex code, and the output is always consistent, ensuring compliance with industry coding standards.

SHIFT allows organizations to minimize the cost and manual effort involved in many migration-oriented projects, including decommissioning and migrating an enterprise data warehouse to a data lake, source system rationalization, or modernizing legacy ETLs.

SHIFT supports several different source and target languages, and based on its continuous learning functionality, it increases the scope of automation over time.

SHIFT is the only tool to help accelerate your data journey.


Automation of code translationAutomation of
Code Translation

Automation of code translation based on user-defined target languages

No developersNo dependence
on resources

Removes the need for developers with knowledge of both source and target languages

Continuous-learningContinuous Learning

Continuous improvement of the code translation through SHIFT’s continuous learning functionality

Enforces GovernanceEnforcement of

All code is translated based on industry standards, providing companies with consistent delivery of defect-free code every time

What’s new in SHIFT 2.0?

    Components for Mixed source languages developed

    PL-SQL support added

    Spark-Scala and Spark-SQL support added

    HTML-based reports added

    Increased translation performance for Greenplum

    General enhancements to the SHIFT engine

Witness Our Translation with Your Data

Don’t believe it? We’ll take some sample code and show you the results in real-time.