W-DaaS
A data-asset platform with full audit.
- →Dataset management
- →Lineage & audit trail
- →S3/MinIO object storage
- →Fine-grained access
UI previewW-DaaS is a governed data-asset platform that treats datasets as first-class managed objects — versioned, lineage-tracked, and access-controlled from the moment they land. Teams building ML pipelines, analytics workflows, or compliance-sensitive products can store raw and derived data in S3/MinIO-compatible object storage while maintaining a complete audit trail of who accessed, transformed, or published each asset. Fine-grained access policies mean the right people see the right data, nothing more.
Dataset management
Register datasets with rich metadata — schema, source system, owner, tags, and retention policy — and version them automatically on each write. Browse the catalog to discover existing assets before creating duplicates, and link derived datasets back to their parents so downstream consumers always know what they depend on.
Lineage & audit trail
Every read, write, transform, and publish event is recorded in an immutable audit log tied to the authenticated W-ID user who triggered it. Lineage graphs show the full upstream provenance of any dataset — from raw ingestion through each transformation step — so you can answer compliance questions and debug data quality issues with confidence.
S3/MinIO object storage
Data lives in S3-compatible object storage, meaning any existing tool that speaks S3 — Spark, DuckDB, pandas, AWS SDK — works with W-DaaS without modification. Pre-signed URLs let you grant time-limited, scoped access to external collaborators without exposing long-lived credentials.
Fine-grained access control
Access policies attach to individual datasets or folders and evaluate the requesting W-ID identity, workspace membership, and declared purpose. Row-level and column-level filters are supported for sensitive datasets, so PII can remain in the same store as aggregate tables without exposing it to analysts who only need the aggregates.
Use cases
- →Govern training datasets for ML models with versioning and lineage tracking
- →Audit who accessed sensitive customer data for GDPR and SOC 2 compliance
- →Share datasets with external partners via scoped, expiring pre-signed URLs
- →Discover and reuse existing data assets before building new ingestion pipelines
- →Track data quality regressions by comparing schema and statistics across versions
No per-product fees. Your W membership unlocks every product — sign in anywhere with W-ID.