Dataset lineage
Emit and query lineage so you can see where data came from.
Govern
Data Governance
Lineage and quality signals for your datasets
Bring datasets into the same governance as the rest of your stack: emit lineage events, query where data came from, classify datasets against policy, and surface data-quality checks. This is an emerging capability under active development as data joins governed delivery.
- Lineage queryable for any dataset, from origin through every transformation
- Sensitive data caught by classification policy before it reaches downstream consumers
- Quality signals visible to the service teams that depend on each dataset
The problem
Your datasets move through pipelines, land in warehouses, and feed production services, but no governance layer follows them. You cannot easily answer where a dataset came from, whether it contains sensitive data, or whether the quality checks upstream are passing. That gap becomes a liability the moment an auditor or a privacy review asks.
Without IntegraCI
- No record of where a dataset originated or how it was transformed
- Sensitive data classification done ad hoc, outside any policy
- Quality check results siloed from the services that depend on the data
- Data treated as outside the governed delivery stack
With IntegraCI
- Lineage events emitted and queryable for every dataset
- Datasets classified against policy as code, flagging sensitive data consistently
- Quality signals surfaced next to the services that use the data
- Data governed alongside code, pipelines, and deployments in one platform
What you get
Classification
Classify datasets against policy to flag sensitive data.
Quality signals
Surface data-quality checks alongside the services that use the data.
Growing capability
An emerging area under active development as data joins governed delivery.
How it works
- 1
Emit lineage
Datasets and jobs emit lineage events as they run.
- 2
Classify
Datasets are checked against classification policy.
- 3
Watch quality
Quality checks surface next to the services involved.
How it stays governed
The same gates everyone passes, applied here.
Gated by policy
Datasets are evaluated against classification policy as code, so sensitive data is flagged by a consistent rule set rather than a manual review. The same policy applies wherever datasets are registered, so no dataset skips classification by passing through a different path.
Recorded, tamper-evident
Each lineage event, classification decision, and quality check result writes once to a tamper-evident audit trail, so you can show what data existed, where it came from, and what its classification was at any point in time.
Works with your stack
Connect the tools you already run.
Lineage and quality connectors feed events from your existing data pipelines and quality tools into the governance layer without replacing them.
- Aqua Security
- DefectDojo
- Elastic
- Google Cloud
- Greenbone
- HashiCorp
- IBM QRadar
- Isovalent / Cilium
- Mend
- Microsoft Azure
- Open Policy Agent / CNCF
- OpenBao
- OWASP ZAP
- PlexTrac
- ProjectDiscovery
- Prowler
- ScanCode
- Snyk
- +37 more
Who it’s for
Where teams reach for it.
Trace the origin of a dataset under audit
When a privacy review or audit asks where a particular dataset came from, you query the lineage graph to show every source and transformation that produced it. No manual reconstruction needed.
Flag sensitive data before it reaches downstream services
A team ingesting new data sources runs classification against policy as code before the dataset enters production pipelines, so regulated or sensitive data is identified and handled correctly at the point of entry.
Surface data quality next to the services that depend on it
Quality checks run against the data your services consume, and the results appear alongside the service catalog entry, so the owning team sees a quality signal failure without switching tools.
Questions, answered.
Does IntegraCI replace our existing data catalog or lineage tool?
No. IntegraCI orchestrates and governs the tools you already run. Your existing lineage emitters, quality tools, and catalogs keep operating. IntegraCI ingests their events, classifies datasets against policy, and surfaces results in one governed view.
Is this capability production-ready?
Data governance is an emerging area under active development, and the core lineage, classification, and quality signal features are available now. We recommend evaluating it alongside your current data roadmap, as the capability is growing as data joins the governed delivery stack.
How are classification policies defined?
Classification rules are written as policy as code, so you define the criteria that matter for your regulatory context, whether that is sensitivity tiers, data residency, or retention class. IntegraCI applies those rules consistently to every registered dataset.
How are quality check results connected to services?
IntegraCI links quality check results to the services in the catalog that consume each dataset. When a check fails, the signal appears in the service view so the responsible team can act without waiting for an alert from a separate tool.
Put Data Governance on your stack.
Request a demo, or read the docs to see how it fits the tools you already run.