IBM Data Lineage (Manta) is an automated, code-based lineage solution that reconstructs and visualizes end-to-end data flows (often down to column/field level) by scanning metadata and parsing code to support impact analysis, root-cause investigations, and compliance audit trails.
Published May 15, 2026
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The vendor cites enterprise customers across multiple sectors, indicating use in regulated environments.
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Download full report →From platform review summaries for IBM watsonx.data intelligence (which includes Manta lineage capability):
On historical listings for Manta, reviewers have described the product as capable of parsing stored procedures and scripts to generate detailed lineage. Other reviewers raised concerns about export options and the volume of objects included in lineage views, indicating a need for improved filtering or scoping in some deployments.
Community discussions and forum posts show practitioners include Manta in enterprise shortlists for regulated, heterogeneous environments, though forum excerpts are limited in scope and depth.
The source set for this report includes vendor press material and partner announcements describing product releases and integrations. However, detailed, independently validated ROI case studies with methodology and before/after metrics were not available in the captured material.
Examples of available vendor/press claims describe scanner additions and architectural improvements, but claims about savings or ROI typically lack customer-specific baselines, timeframes, and audited calculations in the public announcements.
IBM’s Data Lineage product (originally Manta Data Lineage) provides automated, code-based technical lineage across enterprise data ecosystems. The product reconstructs and visualizes end-to-end data flows (often down to column/field level) by scanning metadata and parsing code (SQL, ETL/ELT logic, BI semantic layers, etc.). Common uses include performing impact analysis before changes, accelerating root cause analysis during incidents, and supporting governance, privacy, and regulatory compliance with an auditable trail.
IBM presents this capability within the watsonx.data intelligence portfolio, indicating use cases that include tracing data inputs to models and tracking how data changes over time.