Discover & Document Your Entire Data Estate in Hours.
Enterprise data estates with thousands of undocumented tables, pipelines, and business rules across Snowflake, Databricks, BigQuery, Teradata, Oracle, SQL Server, and legacy databases. 3X Metadata Intelligence automatically extracts, enriches, and documents metadata for 10,000+ objects at scale, delivering SME-grade data cataloging, lineage mapping, and compliance-ready documentation in hours.
Undocumented data shouldn't block your modernization.
Every stalled data migration, governance initiative, and AI readiness program traces back to the same root cause: incomplete, inaccurate, or missing metadata across the enterprise data estate. Basic metadata extraction tools capture structure but miss business context. 3X Metadata Intelligence eliminates these gaps with AI-powered enrichment and graph-based relationship inference at scale.
Thousands of Undocumented Tables
Massive enterprise data estates across Snowflake, Databricks, BigQuery, Teradata, Oracle, and legacy databases with no documented business context, no data ownership records, and no description of what each table, column, or pipeline actually does. Basic data catalog tools extract schema structure, but without context engineering, the metadata remains meaningless labels that don't help anyone make decisions.
Outdated and Inaccurate Definitions
Existing data dictionaries and metadata catalogs filled with generic, auto-generated descriptions that no longer reflect what the data actually represents. Column definitions copied from years ago, business context that has drifted from reality, and stale documentation that misleads data consumers rather than informing them. Teams making critical migration and governance decisions based on metadata they cannot trust.
Missing or Outdated Data Lineage
No clear end-to-end data lineage from source systems through ETL pipelines to reporting and analytics layers. Without graph-based dependency analysis, teams cannot perform confident impact analysis, trace data quality issues to their root cause, or modify pipelines without risking undiscovered downstream breakage across the data estate.
Stalled Data Governance and Compliance
Data governance programs and regulatory compliance initiatives blocked by lack of comprehensive metadata coverage across the enterprise. Compliance teams cannot identify PII, classify sensitive data, or produce audit-ready reports for GDPR, HIPAA, and SOX without accurate, enriched metadata that goes beyond table names and column types.
Slow Data Team Onboarding
New data engineers, analysts, and architects taking months to understand complex enterprise data estates with no searchable data catalog, no functional documentation, and no self-service metadata discovery. Without AI-inferred business context and enriched object descriptions, every question goes back to the same overloaded SMEs who built the system.
Migration Planning Blocked by Uncertainty
Cloud migration and data platform modernization planning stalled because teams cannot accurately scope what needs to move, how objects depend on each other, or what business logic is embedded in existing data flows. Without graph-mapped relationships and enriched metadata, migration effort estimates, timelines, and risk assessments are guesswork.
Intelligent metadata discovery. Not manual spreadsheets.
3X Metadata Intelligence combines Advanced RAG, Context Engineering, and Graph Intelligence to deliver accurate, enriched, production-ready metadata documentation, not incomplete data catalogs filled with generic descriptions that go stale the day they're published.
Universal Platform Connectivity
Platform-agnostic, read-only connectivity to any enterprise data source: Snowflake, Databricks, BigQuery, Teradata, Oracle, SQL Server, PostgreSQL, Data Lakes, Lakehouses, NoSQL stores, and legacy mainframe databases. Unified automated metadata extraction across cloud and on-premises environments through a single engine. No platform-specific adapters or manual configuration required.
Graph Intelligence and Advanced Processing
Multi-layered metadata analysis powered by Graph Intelligence, Advanced RAG, and Context Engineering. Maps complex multi-hop data relationships, infers hidden dependencies, resolves implicit joins, and traces data flows across interconnected enterprise systems with accuracy that manual analysis and traditional data lineage tools cannot achieve. Every connection is validated, not assumed.
SME-Grade Documentation Generation
Advanced RAG and Context Engineering auto-generate production-ready functional documentation, enriched data dictionaries, ERD diagrams, data lineage maps, and technical specifications at the object, table, and column level. Every description is contextually accurate and semantically enriched with business meaning, not generic placeholder text from template-based metadata tools.
Automated PII Discovery and Compliance Reporting
Automated PII detection and sensitive data classification across every table and column in your enterprise data estate with high-accuracy contextual inference. Generates audit-ready compliance reports for GDPR, HIPAA, SOX, and industry-specific regulatory requirements. Catches sensitive data patterns that keyword-based PII scanners miss.
Business Context and Functional Insights
Context Engineering infers business meaning, transformation logic, and functional purpose for every data object across the enterprise. Understands not just what the data is, but what it means, how it's used, and why it matters to the business. Delivers contextually rich institutional knowledge with the accuracy and depth that typically requires months of SME interviews.
Data Usage Analytics and KPI Recommendations
Analyzes SQL query patterns, data access frequency, join relationships, and consumption metrics to recommend business intelligence KPIs, identify unused or redundant data objects, and optimize data platform costs across Snowflake, Databricks, BigQuery, and cloud data warehouses. Graph-based relationship mapping ensures recommendations reflect actual data usage patterns, not assumptions.
From connected data platform to complete metadata catalog.
A multi-stage intelligent pipeline that scans, analyzes, and documents your entire data estate automatically.
- Advanced RAG
- Context Engineering
- Platform Agnostic
- Graph Intelligence
- Enterprise-ready
- Searchable
- Governance-Aligned
- API-Integrable
See exactly what you get.
Every discovery run produces structured, auditable deliverables. Here's a live preview of what your team receives.
- Discovery Summary
- Data Dictionary
- PII & Compliance
- Lineage & Relationships
Connect to any platform. Cloud or on-premises.
3X Metadata Intelligence extracts and catalogs metadata natively from every major data platform.
Snowflake
Tables, views, stages, pipes
Databricks
Unity Catalog, Delta Lake
BigQuery
Datasets, routines, models
Teradata
Tables, macros, stored procs
Oracle
Schemas, PL/SQL, packages
SQL Server
Databases, T-SQL objects
Microsoft Fabric
Synapse, OneLake, pipelines
PostgreSQL
Schemas, extensions, types
Complete metadata visibility. From day one.
Everything your team needs to discover, document, and govern your entire enterprise data estate, delivered with the accuracy and depth that only Advanced RAG, Context Engineering, and Graph Intelligence can provide. No manual data cataloging. No shallow metadata. No tribal knowledge dependency.
Hours, Not Weeks
Complete automated metadata discovery, enriched data dictionary generation, end-to-end lineage mapping, and functional documentation for thousands of data objects delivered in hours. Advanced RAG ensures every description is contextually accurate and meaningful. Replaces 6-8 weeks of manual metadata analysis and SME interviews.
Enterprise Scale, Deep Understanding
Built to handle massive enterprise data estates with 10,000+ tables across multiple platforms, databases, data lakes, and cloud environments simultaneously. Graph Intelligence maps every data relationship and dependency thoroughly at scale, regardless of how complex or interconnected the enterprise data estate is.
Always Current, Always Accurate
Continuous automated metadata refresh with context-aware enrichment ensures data documentation stays synchronized with schema changes, new tables, modified pipelines, and evolving data landscapes automatically. Every refresh maintains the same depth and accuracy as the initial analysis, not just a shallow schema diff.
Full Ownership
All extracted metadata, enriched documentation, ERD diagrams, lineage maps, and semantic understanding become your permanent enterprise data assets. Full intellectual property ownership with optional source code access. No vendor lock-in, no subscription dependency for accessing your own metadata documentation.
See Metadata Intelligence in Action
Get a personalised walkthrough tailored to your data engineering needs and metadata management challenges.
Let's talk scale.
Our team of engineering experts and AI architects is ready to help you accelerate your data modernization journey.