Data Lineage Solutions

In-depth knowledge of data, its lineage and how it is used, is crucial to all organizations. Apart from a regulatory imperative to understand the data flows within your organization, data lineage is fundamental to getting the right data to the right people, at the right time – the basis of sound decision making, risk management and new data driven initiatives.

What is data lineage and why is so important?

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Catalog your data like never before

Quickly discover, document, analyze and share your data with a modern, fully integrated, feature-rich, machine learning assisted catalog.

Data Lineage is the visual representation of anything that is connected, whether that be the flow of data through an organization, or any form of business or technology connectivity.

Our multidimensional data lineage capabilities provide a comprehensive view of your enterprise, incorporating all the contextual metadata surrounding your data. There’s no costly maintenance overhead, and our software is easy to use.

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Build data lineage at speed

Visualize data lineage at industry leading speeds with our browser-based application. Become operational in minutes by rapidly building data lineage using our supercharged connectors and open API. Our intuitive interface drives quick adoption and efficiency gains up to 90%.

Build data lineage with confidence

Reassure regulators and minimize migration risks and costs by automatically tracking all data changes, with differences displayed along a timeline.

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Build data lineage collaboratively

Collaborate with ease, by federating data lineage to system owners. Maintenance can be shared, federated, and democratized. Experts can find, record, confirm, and share knowledge and insights from your data.

Data Lineage is a very important aspect of modern data management. It represents the journey of data as it travels from source to destination. Find out more here.

Your world-leading data lineage solution

Solidatus has been designed since its inception to provide world-leading visualization of lineage, together with the technical and business metadata that informs and contextualizes that lineage.

 

With Solidatus’ data lineage services, you can quickly develop a data landscape, crowdsource metadata, agree terminology, and analyze data usage throughout your systems to deliver comprehensive data lineage.

 

Capture and visualize data lineage at any level of granularity – from system to deeply-nested field –  and connect with relevant contextual information such as regulatory models, business rules, business glossaries, or enterprise modeling. 

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Explore the power of data lineage

Data lineage frequently asked questions

Data lineage is the ability to trace the origins and movement of data from its source to destination across technical and organizational systems. It provides visibility into data flows to understand upstream sources and downstream impacts. 

Data lineage delivers vital visibility into data origins and flows, enabling governance, compliance, risk reduction, productivity gains, and collaboration across the data ecosystem. 

A huge amount but examples include:

  • How has this data changed over time?
  • Who has accessed this data?
  • Is there an issue upstream?
  • Is this data consistent across systems?
  • Does our data meet compliance rules?
  • Document critical data flows and touchpoints.
  • Standardize data types, schemas, and rules across systems.
  • Log key data transformation steps.
  • Integrate lineage into data governance processes.
  • Monitor data lineage continuously.
  • Collaborate across teams. Data stewards, IT, compliance, and business units must align.

A huge amount but examples include: 

  • Compliance – Demonstrate adherence to data regulations and governance policies by documenting flows. Critical for sectors like financial services and healthcare. 
  • Data governance – Improve trust in data by providing transparency into origins and processing. Enables proactive data quality management. 
  • Migration – Streamline transition by mapping legacy systems to new databases and assets.  
  • Analytics – Understand data context and meaning by tracing roots. Leads to reliable insights and actions from BI tools. 
  • Incident response – Rapidly diagnose causes of issues by tracing upstream flows. Accelerate restoration and remediation. 

The main types of data lineage include:

  • Technical Lineage – Follows the data journey through technical systems like databases, ETL tools, and APIs. Provides complete view of how data is structured, transformed, and processed.
  • Business Lineage – Traces data origins and flows through business operations, policies, and user activities. Documents the business context surrounding data.
  • End-to-End Lineage – Combines forward and backward tracking to give complete view across the data ecosystem.