Automated end-to-end data lineage every transformation, join and aggregation recorded and visualised, from source system to pipeline to dashboard to model input
DataAstra is MFD's data catalog governance platform that unifies data discovery, lineage, and governance in one solution. Built for regulated enterprises, it helps teams find, trust, and govern data with automated compliance and audit-ready controls.
DataAstra is not simply a metadata repository. It is an active data catalog governance platform that automates discovery, lineage, classification and policy enforcement across your entire data estate and extends those capabilities into the AI layer.
Automated end-to-end data lineage every transformation, join and aggregation recorded and visualised, from source system to pipeline to dashboard to model input
Semantic discovery find any table, column, dashboard, pipeline or model in seconds with plain-English search, classified by sensitivity and quality score
Policy-as-code access control, dynamic data masking, retention schedules and data residency rules defined, versioned and deployed as code
Data product framework publish, certify and version governed data products that other teams can discover and consume through the catalog
AI-aware governance register and classify training datasets by AI risk tier, track lineage from raw data to model artefacts and surface audit-grade evidence
DataAstra is a composable data catalog governance platform that overlays your existing data infrastructure Snowflake, Databricks, BigQuery, Redshift, PostgreSQL and Hive; dbt, Apache Airflow and Fivetran for automatic lineage capture; Power BI, Tableau, Looker and Sigma for end-to-end lineage to dashboards; MLflow and Hugging Face for AI/ML governance; Apache Kafka for streaming; and bi-directional integration with Collibra and Alation.
DataAstra's data catalog governance platform is deployed across the enterprise from compliance and legal to data engineering and AI development.
Automated, continuous lineage, policy enforcement and classification let compliance teams generate audit-grade evidence packages in hours rather than weeks for GDPR, HIPAA and SOC 2 Type II.
Domain teams own, certify and publish data products through the catalog, while policy-as-code enforces the central guardrails that prevent governance fragmentation.
DataAstra classifies datasets by AI risk tier, tracks training data lineage to model artefacts and produces the structured documentation required for high-risk AI systems.
Automatically discover and catalogue data assets across acquired entities, applying the acquirer's policy-as-code framework and surfacing data quality and lineage issues before they become integration blockers.
