Data Lineage
Data Lineage

Know where your data has been and where it's going

Visualize your full data lifecycle with automated, native lineage to power trusted AI and analytics

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Key features
and capabilities

Collibra Data Lineage maps the exact journey of your data, exposing every transformation and dependency. Gain absolute clarity and control across your entire data and AI ecosystem with native, end-to-end visualization.

Automate data lineage extraction

Automatically map data lineage across all sources, ETL and BI tools for an end-to-end view with complete context.

  • Reduce manual effort
    Eliminate the burden of manual mapping with AI-powered lineage extraction that instantly documents data flows
  • Ecosystem-wide support
    Seamlessly integrate with nearly 40 data sources, including SQL databases ETL tools, and BI platforms
  • Assure explainable AI
    Build trust in AI by tracing inputs to their source and visualize the policies required to prove fairness, privacy and compliance
See it in action

Prevent data issues and trace root causes

Trace root causes and analyze downstream impacts at the table, column and report level to accelerate issue resolution.

  • Reduce downtime and discrepancies
    Quickly Identify and resolve data issues to minimize potential losses or misinformed decisions
  • Anticipate downstream effects
    Instantly visualize how changes to data sources or calculations propagate across your landscape to eliminate change management guesswork
  • Accelerate proactive data management
    Gain complete visibility to identify root causes and understand downstream impacts before they escalate

Speed time to insight

Understand the full context of data to assure accurate, complete and trustworthy business decisions.

  • Accelerate decisions
    Act with speed and agility by replacing data skepticism with the Data Confidence™ that comes from trusted, traceable insights
  • Eliminate decision friction
    Establish shared trust in data with granular lineage visibility, ending debates over "whose numbers are right"
  • Pinpoint error sources
    Restore trust in reporting quickly by gaining granular visibility into the exact transformation logic behind every data anomaly
Read how

Ensure compliance with data traceability

Trace data flows across systems and processes, identify purpose and location of processing and ensure contracts and controls are in place.

  • Visualize audit trails
    Satisfy strict regulatory demands with a visual audit trail that proves exactly where data originated, how it was processed and who accessed it
  • Verify data integrity
    Prove to regulators that the data used for regulatory reporting is accurate, complete and consistent across systems
  • Mitigate risk
    Pinpoint where sensitive data resides, how it's exposed and where potential vulnerabilities or compliance gaps might exist
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  • OpenLineage Support

    Achieve complete visibility across your data landscape with Collibra’s automated support for the OpenLineage standard.

  • Indirect lineage

    View direct data flows across assets as well as participating indirect relationships that influence the movement of data, such as conditional statements and joins.

  • Explore data transformations and flows with in-line code context

    Easily identify and drill down into relevant table and column-level code within lineage diagrams.

  • Export data lineage diagrams

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

Learn how data lineage transforms and enables your teams

Featured blog post

Collibra blog

Five reasons why data lineage is essential for regulatory compliance

In today’s data-driven world, businesses face increasing pressure to comply with stringent regulatory frameworks. From financial reporting standards such as SOX and BCBS 239, to data privacy laws like GDPR and CCPA, AI regulations such as the EU AI Act, and industry-specific mandates like HIPAA and GxP, the need for transparency, accuracy, and accountability in data management has never been greater. Meeting these diverse and complex requirements is not just a best practice—it is a legal and reputational necessity. But how can organizations confidently demonstrate that their data complies with these standards? The answer lies in data lineage.

Read the blog post
Featured blog post

Collibra blog

Uncover data blindspots with OpenLineage

“Where did this data actually come from?” If that question causes a collective sigh in your meetings, you’re likely staring into a data lineage black hole. Custom code and modern data tools, while powerful, often hide data’s true journey, eroding trust and wasting valuable time. In fact, Forrester finds data teams spend up to 70% of their time just trying to verify and prepare their data. To build trust and accelerate insights, organizations need a complete, end-to-end view of their data's journey, without any blindspots. That is why we are thrilled to announce our latest lineage feature.

Read the blog post
Featured resource

Factsheet

Collibra Data Lineage: Visualize your enterprise data movement, transformation and consumption

Understanding how data flows and transforms is critical to making confident business decisions. Collibra Data Lineage automatically maps relationships across systems, applications and reports, providing a complete end-to-end view of your data’s journey. Learn how to gain visibility, trust and actionable insights with Collibra.

Get the factsheet
Featured resource

Whitepaper

Data lineage features: unlocking business opportunities

The benefits of building and maintaining data lineage are clear for both business and technical stakeholders. By comprehensively understanding your data, you can unlock its value. Learn how lineage provides the data visibility and transparency required to support positive business outcomes.

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Frequently asked questions

What is data lineage and why is it important?

Data lineage documents the full lifecycle of your information, tracking how data moves, transforms and resides within your organization. By mapping these flows and dependencies, lineage makes your information meaningful, giving you immediate visibility into where your data came from, where it is now and where it is going.

Understanding this journey is crucial for building trust in your data. Accurate lineage strengthens data quality, security and governance, while also simplifying troubleshooting by allowing you to quickly trace errors and eliminate bottlenecks. Ultimately, accurate lineage builds trust in your analytics, empowering stakeholders to make confident, strategic decisions and ensures regulatory readiness.

Learn more about the importance of data lineage here
What are the benefits of data lineage?

Data lineage helps organizations in the following ways:

  • Ensure regulatory compliance and mitigate risks: Provides a defensible, auditable trail of data transformations across the data ecosystems.
  • Increase productivity: Automatically extract and maintain lineage from various source systems.
  • Better understand and trust your data: Understand the full context of your data to ensure accurate, complete and trustworthy data is used to drive business decisions.
  • Save time doing manual impact analysis: Enable impact analysis at a granular level (columnar, table, or business report) of any changes to downstream systems.
Learn more about the importance of data lineage here
What are the different types of data lineage?

There are two different types of data lineage: business lineage and technical lineage. Technical data lineage typically involves analyzing column-level lineage at the field or attribute level. This granularity helps technical teams identify precisely how columns get calculated, transformed or affected by changes in informational pipelines within an organization.

Business lineage generally aligns with table-level data lineage, providing broader visibility across datasets. It helps stakeholders understand how information interacts, clarifying how entire datasets contribute to organizational outcomes.

Learn more about the different types
What is the difference between data lineage diagrams and data flows?

Data flows simply visualize the movement of data between systems. Data lineage, however, provides the complete picture, tracking the data's entire lifecycle from its origin to its final consumption, including every transformation.

The road to Data Confidence™ starts here.