Next Pathway, a leading provider of enterprise Big Data and Digital Transformation software, launched the latest release of its leading code translation engine, SHIFT 2.0, a product designed to accelerate the migration from legacy data repositories to modern Big Data environments. SHIFT automates the majority of the migration effort, saving organizations up to 75% of operational and resourcing costs.
SHIFT allows users to import vast amounts of code, including SQL, stored procedures and application code, from legacy data systems, including Enterprise Data Warehouses, and automate the conversion to target languages that run natively inside of Big Data environments, including projects such as Apache Spark, Apache Hadoop, R, and various Cloud platforms.
Most organizations today see the promise of modern data platforms but are struggling to get there. The migration path from legacy systems is costly, time consuming, and high risk”, said Chetan Mathur, CEO of Next Pathway. “SHIFT accelerates and simplifies the migration effort through automation, saving organizations time and money; allowing development teams to focus on more value-adding tasks.”
SHIFT automatically translates up to 80% of legacy code, while ensuring the output is fully-governed based on industry and organizational standards, defect-free, and optimized for the new target Big data environment.
SHIFT 2.0 core capabilities include:
- Automated translation engine with source-to-target language translation
- Source language support for a variety of legacy data repositories
- Target language support for projects including Apache Hive, Apache Spark, R, and others
- Web-based GUI that provides different views and reports to manage migration projects
- Translation validator that provides early verification on the scope of automated translation, essential for project scoping and planning
- No vendor lock-in; SHIFT follows an open architecture that is plug-and-play with third party tools for code maintenance, automated testing, and continuous deployment
SHIFT is part of Next Pathway’s portfolio of Big Data and Digital Transformation software, which also includes Cornerstone, an automated metadata-driven data ingestion engine that enables customers to automatically ingest large volumes of data to Big Data environments without writing a single line of code; FUSE, which automates the enrichment and transformation of data inside of Big Data environments; Array, which helps organizations expose back-end services automatically via a service-oriented architecture; and Mercury, which automates microservices development, helping organizations modernize their monolithic applications.
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