FROM SOURCE TO USE

Data Lineage Tool

Provide clarity on data origin, transformations, and usage across your landscape.

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Trusted by data leaders across Banking, Insurance & Telecom

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Transparent end-to-end lineage.

Triage Data Issues with Precision Using Column-Level Lineage

Our Column-Level Lineage mapping offers deep visibility into your data pipelines, enabling you to trace issues down to the most granular level. By pinpointing the exact origin of data discrepancies and understanding their downstream impact, you can resolve problems faster and more effectively. This level of insight ensures timely resolution and minimizes disruptions across your data workflows.

Manual Lineage to Bridge the Missing Links

Easily define and manage data lineages manually wherever automated tracking may fall short. With Decube, you can establish an approval workflow for data owners, ensuring that every manually defined lineage is accurate and aligned with organizational data governance standards. This flexible approach helps maintain data integrity and fills in gaps for complex or custom data assets.

Impacted Assets in Lineage

When changes occur within a data asset—such as a table, job, or dashboard—the owners of these affected components can easily notify downstream stakeholders. This proactive communication helps downstream asset owners understand the potential ripple effects of the changes, enabling them to take necessary actions to mitigate any disruptions or data quality issues.

Update lineage using API

Engineers now have the flexibility to update data lineage directly through APIs, bypassing the need for manual updates via the user interface. This streamlined approach saves time and enables seamless integration with existing workflows, allowing for faster and more efficient management of data lineage.

Our partners

No more firefighting.

Preset field monitors

Choose which fields to monitor with 12 available test types such as null%, regex_match, cardinality etc.

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ML-powered tests for data quality

Thresholds for table tests such as Volume and Freshness are auto-detected by our system once data source is connected.

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Smart alerts

Alerts are grouped so we don't spam you 100s of notifications. We also deliver them directly to your email or Slack.

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Data Reconciliation

Always experience missing data? Check for data-diffs between any two datasets such as your staging and production tables.

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Everything you need to trust your data

Detect issues in freshness, volume, schema, and quality before they reach your dashboards.

Automated column-level lineage

See how data flows field by field, mapped automatically from your SQL.

End-to-end cross-system lineage

Trace data across warehouses, BI, and pipelines in one connected graph.

Root-cause and impact analysis

Find the source of a broken metric and see everything it affects.

SQL parsing and auto-extraction

Lineage is built automatically by parsing your queries and models.

OpenLineage and API

Push and pull lineage programmatically and stay open-standard.

Manual lineage for gaps

Push and pull lineage programmatically and stay open-standard.

How to map your data lineage in three steps

Connect your sources

Decube connects to your warehouses, lakes, BI, and pipelines in minutes.

Auto-map lineage

Decube parses your SQL and models to build column-level lineage automatically.

Trace and analyze

Trace any field to its source and see downstream impact before you change it.

Column-level vs table-level lineage

Most tools stop at the table. Decube traces every column, so impact analysis is precise.

Data observability

Continuously monitor freshness, volume, schema, and pipelines, and get alerted the moment something breaks.

Column-level lineage

Shows exactly which field flows into which, so you see the precise impact of any change.

Decube maps automated column-level lineage, so you fix the right thing the first time.

Connect lineage to your entire data stack

Auto-map lineage across your warehouses, lakes, BI, and orchestration tools, with OpenLineage and API support. And many more..

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Your data stays put.

Decube runs on a metadata-only architecture and meets the standards regulated teams require.

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SOC 2 Compliant

Safeguarding your information with industry-leading standards.

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ISO 27001

Ensuring your information is protected with the highest level of integrity.

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HIPAA Compliant

Ensuring the confidentiality and integrity of your healthcare data.

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GDPR Compliant

Protecting personal data with robust privacy and security measures.

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Encryption

Your data is encrypted in motion with TLS and at rest with AES-256.

Signs your team needs data observability

If any of these sound familiar, your data needs monitoring you can trust.

Cause unknown

A dashboard breaks and no one knows which pipeline caused it.

Silent schema breaks

Schema changes break downstream reports without warning.

No answer for auditors

Auditors ask where a number came from and you cannot show it.

Untraceable origins

Analysts do not trust data because they cannot trace its origin.

Manual impact analysis

Impact analysis before a change is manual and error prone.

Lineage lives in people's heads

Tribal knowledge is the only map of how data flows.

Who needs data lineage?

Built for teams that must trace, trust, and prove where their data comes from, and see what breaks downstream before they change anything.

Banking and Financial Services

Trace critical data elements to their source for regulatory reporting and audits.

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Column level lineage from source to report

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Data origin evidence for BCBS 239 and audit

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Downstream impact analysis before any change

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Root cause tracing when numbers look wrong

Insurance

Prove how actuarial and risk numbers were calculated, field by field.

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End to end lineage across claims pipelines

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Trace how premiums and reserves are calculated

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Impact analysis before model or rule changes

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A clear audit trail for regulators

Telecom

Untangle how data flows across many systems and pipelines.

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Lineage across multi cloud and legacy systems

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Column level tracing for billing accuracy

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Downstream impact before pipeline changes

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Faster root cause on data incidents

Data-heavy enterprises

Understand impact before changes across a large, complex data stack.

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End to end, column level lineage at scale

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See every downstream report before you change a field

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Trace any metric back to its source

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Shared context across analytics and AI teams

Trusted by organizations operating under OJK, BNM, MAS, and APRA regulatory frameworks across APAC.

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Trusted by Governance teams across industries

Rated 4.6/5 on

Frequently asked questions

What is data lineage and why does it matter?

Data lineage shows the complete journey of data as it flows across different systems—from source to transformation to consumption. It matters because it helps organizations ensure accuracy, trace errors, meet compliance needs, and build trust in their data.

What are the key benefits of implementing data lineage?

Key benefits include improved data quality, faster root-cause analysis, stronger compliance and audit readiness, better collaboration between business and technical teams, and increased confidence in AI and analytics initiatives.

How does data lineage support regulatory compliance?

Regulations like GDPR, HIPAA, and financial reporting standards require organizations to prove where data comes from, how it is transformed, and who has access. Data lineage provides the visibility needed to demonstrate compliance and reduce risk.

What challenges do companies face in tracking data lineage?

Common challenges include siloed systems, manual documentation, evolving pipelines, and incomplete metadata. Automated lineage tools help overcome these challenges by parsing queries, tracking dependencies, and keeping lineage up to date.

What tools or technologies are used for data lineage?

Modern data lineage platforms combine metadata management, query parsing, pipeline integration, and visualization. Advanced solutions (like Decube’s Data Trust Platform) provide end-to-end lineage across hybrid and multi-cloud environments, connecting both technical and business perspectives.

Does Decube tie Unity Catalog and non-Databricks sources into one lineage?

Yes. Decube consumes Unity Catalog lineage and stitches it together with your production databases, pipelines, and BI into one end-to-end, column-level graph.

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