Know exactly where your data came from, every step of the way.
DataLineage360
Why It Matters

Regulatory compliance by default
Complete, automated lineage satisfies central bank and health authority data governance mandates — no scrambling to reconstruct data trails before an audit.

Auditor-readable lineage graphs
Unlike opaque hyperscaler lineage tools, auditors can directly inspect visual provenance graphs — dramatically shortening audit cycles and building regulator trust.

Faster root-cause analysis
When a model misbehaves, teams trace the problem back through transformations to the exact source in minutes, not weeks.
The Cloudly Advantage

Sharpest regulatory wedge yet
Central bank and health authority mandates make this a must-have, not nice-to-have — compliance-driven budgets close faster than innovation budgets.

Completes the audit-ready platform
Combined with NoteBook Sync and ExperimentHub, Cloudly can pitch end-to-end ML auditability that no hyperscaler or point vendor matches.

Differentiates against hyperscalers
"Lineage graphs your auditors can actually inspect" is a concrete talking point that beats opaque AWS/GCP native tooling in regulated deals.

Airflow and Glue services pull-through
Lineage hooks into Apache Airflow and AWS Glue Data Catalog create direct openings for our DevOps consultancy and AWS Migration services.

BFSI account expansion
Lineage touches every data pipeline in the bank — landing compliance use cases expands naturally into enterprise-wide data engineering engagements.
The Final Takeaway
Long-lived recurring revenue — Regulatory tooling never gets decommissioned — once auditors depend on lineage reports, managed-service contracts renew indefinitely.
Powered By
Apache Atlas
Core to the DataLineage360 technology stack.
OpenLineage
Core to the DataLineage360 technology stack.
Apache Airflow lineage hooks
Core to the DataLineage360 technology stack.
AWS Glue Data Catalog
Core to the DataLineage360 technology stack.