Data lineage

Visualize how your enterprise’s data moves, transforms and is consumed. Gain visibility across your data ecosystem to quickly understand it, spot dependencies, proactively minimize risks and meet regulatory compliance requirements

Key features and capabilities

Automate data lineage extraction

Save time and effort by automatically mapping your data’s journey from start to finish with native integrations and augmented with AI.

Prevent data issues and trace root causes

Quickly fix data issues with a clear, traceable data trail that shows root causes and downstream impacts.

Accelerate data understanding and analysis

Speed up data insights with a complete understanding of its dependencies, business context, compliance requirements and data quality information, all in one place.

Find data assets faster with intelligent faceting and filtering

Filter lineage diagrams and reduce the time it takes to surface relevant information.

Explore data transformations and flows with in-line code context

Drill down into relevant table- and column-level code within lineage diagrams to better understand how data transforms and flows.

Export data lineage diagrams

Extract lineage state diagrams in different file formats (PDF, PNG, CSV, etc.) to accelerate reporting and manage risks.

Customer stories

Financial services

Freddie Mac creates a one-stop-shop for data

Communications and media

Orange Spain delivers better business decision making with Collibra

Financial services

AXA XL builds a data culture through governance

Frequently asked questions

  • What is data lineage and why is it important?

    Data lineage makes data meaningful, providing a visual representation of where your data is, where it came from and where it's going. It’s a valuable solution for enterprises that want to ensure data is well-understood and trusted.

    Learn more about the importance of data lineage here
  • What are the different types of data lineage?

    There are two main types of data lineage: technical and business. Technical lineage provides a detailed view of data transformations and system interactions. Business lineage provides a high-level view of data flow in the context of business processes and decisions.

    Learn more about each type of data lineage here
  • What are the key features to look for in a data lineage solution?

    Key features to look for in a data lineage solution include automated lineage discovery, visualization capabilities, integration with various data sources, support for both technical and business lineage, and the ability to handle large volumes of data.

    Learn more about the key features of data lineage solutions here
  • What is the difference between data mapping and data lineage?

    Data mapping is the process of linking data fields across data sources. Data lineage, on the other hand, provides visibility into the flow of data from its origin to its destination, providing a clear picture of where data came from, how it moves and transforms, and where it goes.

    Learn more about the basics of data lineage here

Learn more about data lineage

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