Get the full story around your data with Collibra Data Lineage. Automatically map relationships between systems, applications and reports to provide a context-rich view across the enterprise. Hone in on the data you care about most and trust that it is relevant, complete and trustworthy.
Extract and maintain lineage automatically from source systems, SQL dialects, ETL tools and BI tools with our native lineage harvesters. Save 95% of time typically spent manually documenting and maintaining lineage.
Business lineage
Trace data flows with an interactive lineage diagram that shows summary lineage from source to destination. Make data lineage accessible to everyone in your organization to drive visibility and trust in data.
Detailed technical lineage
View detailed technical lineage at the table, column, transformation and SQL query levels to quickly understand the impact of potential changes.
Indirect lineage
View direct data flows across data assets as well as indirect relationships to get a complete picture of data dependencies.
Intelligent faceting and filtering
Filter lineage diagrams and reduce the time it takes to surface relevant information.
In-line context of code
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.
Get end-to-end data lineage
Understand where your data comes from, where it has been and how it is being used.
Get enterprise-wide visibility into your data
Give your teams comprehensive visibility into data lineage to drive data literacy and transparency. Make lineage accessible at scale to all your data engineers, stewards, analysts, scientists and business users.
Automate lineage mapping and maintenance
Automatically map end-to-end lineage across data sources and systems. Effortlessly keep lineage up to date with native harvesters that extract lineage from source systems, SQL dialects, ETL tools and BI tools.
Enable easy and complete impact analysis
Easily identify the upstream and downstream impacts of any particular change at the table, column or business report level with automated, easy-to-use lineage diagrams.
Maintain compliance and mitigate risks
Support BCBS 239, GDPR, CCPA and other compliance efforts with automated data mapping to show how data flows across the organization and third parties.
Drive better analytics
View upstream and downstream lineage to discover relevant data context including source, changes and usage. Identify how a data asset was created and where it came from to verify how accurate, complete and trustworthy it is.
Customer stories
Financial services
Moody's offers 10 tips from a non-tech background
Technology
Cox Automotive leverages Collibra to provide a one-stop shop for all data
Data lineage makes data meaningful, providing visibility into 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 accurate and trusted.
There are three main types of data lineage: technical, operational, and business. Technical lineage provides a detailed view of data transformations and system interactions. Operational lineage focuses on system operations and data movement. Business lineage provides a high-level view of data flow in the context of business processes and decisions.
Key features to look for in data lineage software 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.
Data mapping is the process of combining multiple data fields across multiple data models. 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.
Data governance is the practice of managing and organizing data and processes to enable collaboration and data access compliance. Data governance allows your data citizens — and that’s everyone in your organization — to create value from data assets. Data lineage, on the other hand, is a component of data governance that focuses on tracing the life cycle of data, including its origin and transformations.
Data lineage software supports regulatory compliance by providing a clear, auditable trail of data transformations across your data ecosystems. Data lineage helps organizations demonstrate compliance with regulations — like GDPR and CCPA — that require understanding of data flows.
