Data Catalog, Lineage & Metadata Management
Centralized data asset registry with automated metadata harvesting, end-to-end lineage tracking, and a business glossary that connects technical assets to business meaning
A centralized, searchable registry of every data asset in your organization. Automated discovery ensures completeness; semantic search makes finding data effortless.
- Automated asset discovery across 50+ source types
- Natural-language search for business users
- Rich metadata profiles for every asset
- Usage analytics showing who accesses what
Centralized Data Asset Registry
Every table, column, API endpoint, file share, and data stream in your organization registered in a single searchable catalog. Automated crawlers continuously discover new data assets as they are created, ensuring your catalog never goes stale.
Traditional data catalogs rely on manual registration that becomes outdated within weeks. Conzento's automated crawlers continuously scan connected systems, detect new tables, columns, and data assets, and register them with rich metadata including data types, sample values, usage patterns, and ownership information.
Business users search the catalog using natural language queries powered by the same semantic search engine used across the platform. Find datasets by business meaning, not just technical names.
- Automated crawling of databases, APIs, file systems, and cloud storage
- Natural-language search powered by semantic AI
- Rich metadata: data types, freshness, ownership, usage frequency
- Automatic tagging and classification of sensitive data fields
- Integration with existing data catalogs via import/export APIs
End-to-End Data Lineage
Visualize exactly where every piece of data originates, how it transforms through ETL pipelines, and where it ultimately lands. Column-level lineage tracking provides the granularity needed for impact analysis — know exactly what breaks downstream when a source column changes.
Conzento automatically discovers lineage from SQL queries, ETL job definitions, API call patterns, and data pipeline configurations. No manual lineage mapping required — the system builds and maintains lineage graphs continuously.
Impact analysis capabilities let data stewards simulate changes before they happen. Ask 'what would break if I rename this column?' and get an instant, comprehensive answer.
- Automated lineage discovery from SQL, ETL, and API patterns
- Column-level tracking across multi-hop transformations
- Impact analysis: simulate changes before execution
- Visual lineage graphs with drill-down exploration
- Real-time lineage updates as pipelines execute
Business Glossary & Data Domains
Create a shared vocabulary for your organization. Define business terms, link them to technical data assets, and organize data into logical domains. Resolve the gap between what business users call 'customer revenue' and what the database stores as 'cust_rev_ytd'.
- Standardized business term definitions with ownership
- Link business terms to physical data assets across systems
- Domain-based data organization for logical grouping
- Version-controlled glossary with approval workflows
- Multi-language glossary support (Thai and English)
Metadata-Driven Governance
Use metadata as the foundation for governance policies. Automatically apply classification labels, retention rules, access controls, and quality expectations based on data asset metadata. When metadata changes, governance policies update automatically.
- Auto-apply governance policies based on data classification
- Sensitivity labels propagate through lineage chains
- Retention policies enforced based on metadata attributes
- Access control recommendations based on data sensitivity
- Governance coverage reports showing unclassified assets
System Architecture
How It Works
Connect Sources
Register your databases, APIs, file systems, and cloud storage. Automated crawlers begin discovering assets immediately.
Harvest Metadata
Crawlers extract table structures, column definitions, relationships, and usage patterns. Assets are auto-classified for sensitivity.
Build Lineage
SQL parsers and ETL analyzers trace data flows end-to-end, building column-level lineage graphs automatically.
Govern & Discover
Business users search and discover data. Stewards manage governance policies. Lineage powers impact analysis for safe changes.
Connect Sources
Register your databases, APIs, file systems, and cloud storage. Automated crawlers begin discovering assets immediately.
Harvest Metadata
Crawlers extract table structures, column definitions, relationships, and usage patterns. Assets are auto-classified for sensitivity.
Build Lineage
SQL parsers and ETL analyzers trace data flows end-to-end, building column-level lineage graphs automatically.
Govern & Discover
Business users search and discover data. Stewards manage governance policies. Lineage powers impact analysis for safe changes.
Use Cases
Data Asset Discovery
New analysts find relevant datasets in minutes instead of weeks. Semantic search understands business intent, not just keywords.
Regulatory Lineage
Demonstrate to auditors exactly where regulated data originates and flows. Meet PDPA data mapping requirements automatically.
Migration Impact Analysis
Before migrating systems, know exactly which downstream reports, dashboards, and processes will be affected.
Data Domain Management
Organize data assets into business domains (Finance, HR, Operations) with clear ownership and stewardship.
M&A Data Integration
Quickly catalog and understand the data landscape of acquired organizations for faster integration.
Self-Service Analytics
Enable business users to find, understand, and trust data without relying on data engineering teams.