Smart data lineage from source to AI
Know exactly where your data comes from, where it goes, and how it’s transformed: get field-level traceability across your entire environment, automatically mapped and kept current.
When your AI gets it wrong, do you know why?
of AI projects will be abandoned due to data that isn't pipeline-ready or traceable
Source: Gartner
or fewer of global banks fully meet data governance standards
Source: ElectricMind
of AI training datasets have missing or wrong lineage information
Source: MIT
Know your data, trust your AI
Simplify compliance
Full traceability of data flows across international boundaries supports right-to-be-forgotten requests and breach scoping. Audit trails stay current automatically.
Prevent pipeline disruption
Accurate impact analysis before changes ship means fewer surprises and faster recovery when something does break.
Build data trust
A clear view of your data’s movement and transformations down to the field level builds trust in your reports, dashboards, and AI outputs.
Govern AI inputs
Know exactly what data is feeding your AI models, where it originated, and how it was transformed.
Smart lineage for every use case
Compliance and governance
- 100% visibility: Cross-system picture of data flows, enriched by the catalog, updated automatically.
- Audit trails: Automatic metadata synchronization keeps lineage current; catalog integration supports data ownership documentation.
- Cross-system traceability: Track flows across international boundaries, scope breaches, and handle right-to-be-forgotten.
- PII detection and security classifications: Automatic flagging, custom properties, enrichment tools.
Data engineering
- Automated mapping: New sources added to lineage automatically, zero manual work.
- Field-level lineage: Column-level traceability that table-level lineage can’t deliver. Required for modern data architectures and complete audit trails.
- Impact analysis: Scope warehouse transitions, platform migrations, and pipeline changes accurately before they happen.
- Cross-platform: Full lineage across cloud, on-premises, and hybrid environments.
AI readiness
- Semantic context: A unified intelligence layer of metadata, lineage, governance policies, and observability grounds your AI.
- Governance: Get full visibility into what data AI systems consume and how it’s been transformed, enabling explainable AI.
- Downstream impact assessment: Lineage visualization powered by the federated knowledge graph shows how data landscape changes ripple into AI outputs.
Data products and marketplace
- Active metadata: Understand which data products users engage with, then trace exactly where that data originates and where it flows to.
- Enterprise data marketplace: Business users select data products with lineage attached, giving them the context to act with confidence.
Automated lineage mapping across your entire data environment
The fuller your lineage, the faster you find problems. Actian has native support for 100+ sources, automatically discovered and kept current.
Modern data stack sources (Snowflake, Redshift, S3)
Legacy data environments (on-premise)
Semi-structured data (JSON, Parquet)
High-performance engines (Iceberg)
Specialized and NoSQL databases (Cassandra, DynamoDB)
BI tools (PowerBI, Tableau)
Automated lineage mapping across your entire data environment
The fuller your lineage, the faster you find problems. Actian has native support for 100+ sources, automatically discovered and kept current.
Modern data stack sources (Snowflake, Redshift, S3)
Legacy data environments (on-premise)
Semi-structured data (JSON, Parquet)
High-performance engines (Iceberg)
Specialized and NoSQL databases (Cassandra, DynamoDB)
BI tools (PowerBI, Tableau)
Trusted by data and AI leaders
Ready to See Your Data's Full Journey?
Actian starts building your lineage automatically as soon as you add a data source. Most teams are up and running in weeks.
Book a 30-minute demo to see:
- Why our federated architecture makes this more powerful than traditional centralized models.
- How to achieve compliance faster with automatic audit trails.
- What widespread adoption looks like in customer environments.
Request a Product Demo
(i.e. sales@..., support@...)
