ENTERPRISE SOLUTIONS

DataStage Migration & Data Lineage Solutions

The AI transformation runs on Databricks, Microsoft Fabric, and Snowflake — but your data is still trapped in IBM DataStage. PipelineX automates the migration with 200+ function translations across all three platforms, 3-tier complexity scoring, and 7-point reconciliation — plus column-level lineage and enterprise catalog across your full estate.

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Common Questions

PipelineX Solutions FAQ

What solutions does PipelineX offer?
PipelineX covers the full DataStage modernization lifecycle: automated DataStage migration to Databricks, Microsoft Fabric, and Snowflake; enterprise column-level data lineage across your databases, DataStage, and cloud platforms; and a data catalog for asset discovery and classification.
Which DataStage migration target should I choose?
Databricks suits ML-heavy and lakehouse workloads. Microsoft Fabric fits organizations already on the Microsoft stack (Azure, Power BI, Teams). Snowflake fits SQL-centric analytical workloads. PipelineX's platform-fit analysis evaluates your estate against all three targets and produces a scored recommendation.
Which ETL tools does PipelineX migrate?
PipelineX focuses exclusively on IBM DataStage. That single-source focus is what lets it parse DataStage exports deeply, score job complexity accurately, generate code for Databricks, Microsoft Fabric, and Snowflake, and reconcile the result — rather than spreading thin across many source tools.
How does PipelineX handle data lineage across multiple platforms?
PipelineX builds a single cross-platform lineage graph spanning database stored procedures, DataStage job graphs, Databricks Delta Live Tables, Fabric pipelines, and Snowflake. Column-level provenance is stitched end-to-end — from raw source columns through every transformation to the final reporting layer.

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Start with a Free DataStage Assessment

Send us your DataStage export files. PipelineX returns a full estate inventory, complexity scores, and wave plan — no commitment required.