An automation suite that modernizes legacy environments to the IBM Cloud Pak for Data fabric β eliminating the effort, cost, and risk of manual IBM DataStage rewrites. It's the engine behind the trusted data foundation every AI initiative depends on.
Rewriting IBM DataStage jobs and Universe functions during a migration or upgrade demands rare skills, long timelines, and significant cost β with real risk to data integrity.
nFolks Data Accelerators automate this work, running conversion workflows that ensure data integrity and quality while taking the guesswork away. Demonstrated on difficult IBM Cloud Pak for Data and IBM DataStage legacy assets β and integral to many successful IBM Expert Labs engagements.
The Data Accelerators remain nFolks' flagship product line for trusted data modernization. The AI Practice extends that same accelerator mindset into reusable connectors, workflow templates, semantic-layer blueprints, and domain-specific agentic solutions.
Pre-built patterns reduce time to value for common enterprise workflows, integrations, notifications, and approval paths.
Reusable structures help teams expose business meaning safely to agents and AI applications without starting every project from scratch.
Specialized accelerators target high-value use cases in BFSI, customer support, and other knowledge-intensive operations.
Automated Server-to-Parallel and Parallel-to-Parallel conversion that accelerates job migration on an aggressive timeline.
Export current IBM DataStage jobs pointing to existing on-prem data sources.
Load the IBM DataStage files into the nFolks Data Accelerators application.
Accelerators prepare migration job files, replacing existing targets with the new cloud target.
Automated data validation compares input and output jobs for full integrity.
The nFolks solution gives teams confidence in every migration and competitive replacement β proven tooling and an automation-first approach that take the risk out of change.
Automated workflows compress projects that would otherwise take months of manual rewriting.
Automation removes repetitive manual work, delivering significant savings on effort and budget.
Built-in validation compares source and target so data quality is never left to chance.
Short walkthroughs of nFolks Data Accelerators β automated conversion and validation, end to end.