Case Study: IBM Manta Data Lineage achieves trusted, transparent data lineage with Neo4j

Governance and Migration with IBM Manta Data Lineage and Neo4j

IBM Manta Data Lineage, a world-class data lineage platform, needed to move beyond the limits of its original relational database and an earlier graph database that could not keep up with growing relationship-based queries. To support customers in regulated industries, it needed a faster, more flexible way to scan code, SQL, ETL jobs, and BI reports and present end-to-end lineage clearly. Neo4j was selected after a six-month proof of concept for its performance, maturity, and support.

With Neo4j, IBM Manta Data Lineage implemented a property graph model that powers fast multi-hop queries and real-time lineage analysis, including historical “point-in-time” views. Neo4j helped Manta deliver enterprise-scale performance for tens of millions of relationships, speed up innovation with easier development, and strengthen future scalability. The result was improved visibility for compliance, DataOps, and cloud migration use cases, with faster queries and deeper insight into data flow.

IBM Manta Data Lineage