data.world Data Catalog

data.world data catalog

data.world models metadata as a knowledge graph (RDF and SPARQL), with custom resource types and relationships, a glossary, and completeness and freshness checks.

Compare: data catalog tools

• Data Catalog: Data catalog with enterprise-grade knowledge graph, search, lineage, governance, and zero-copy connectors to major cloud warehouses (docs).

• Automated Metadata Harvesting: Zero-copy connectors to Snowflake, Databricks, Redshift, and BigQuery automatically harvest metadata without data movement (docs).

• Search & Discovery: Google-like federated search across all catalog assets with AI-enhanced relevance and natural language querying (docs).

• AI-Powered Search: AI-powered natural language search enables query-by-question discovery across the enterprise catalog (docs).

• Usage & Popularity Statistics: Popularity Analytics ranks trending resources from org metrics, and search cards show usage (docs).

• Custom Fields & Templates: The Catalog Toolkit adds custom metadata fields, resource types, sections and relationships (docs).

• Asset Certification: Configurable approval statuses (e.g., Approved, In review, Rejected) mark whether a resource is ready for use (docs).

• Catalog Usage Analytics: Governance dashboards cover engagement, search, resources and users (docs).

• Business Glossary: Business glossary with term management and catalog asset linkage, stewardship workflows for owner accountability and change management, and knowledge-graph-native semantic links between terms — related concepts, hierarchies, and cross-domain relationships (docs).

• Metadata Propagation: The Inherited Value automation fills empty fields from the parent resource through "Is Part of" relations (docs).

data.world data lineage

data.world shows table, column and end-to-end lineage with impact analysis.

Compare: data lineage tools

• Data Lineage: Automated lineage tracking across pipelines with policy enforcement and impact analysis confirmed (docs).

• Table-Level Lineage: Dataset-level lineage automatically built across connected sources (docs).

• Column-Level Lineage: Eureka Explorer shows an interactive graph of technical lineage with table, column, and query-level details; selecting an edge reveals its table-level and column-level dependencies (docs).

• End-to-End Lineage: End-to-end lineage from source through transformation to consumption layer confirmed (docs).

• Impact Analysis: Impact analysis confirmed — identifies downstream effects of upstream data changes (docs).

• OpenLineage Support: The Marquez collector (public preview) harvests OpenLineage datasets, jobs and runs as lineage; no native OpenLineage endpoint (docs).

data.world data stewardship

Access requests route to ServiceNow for approval, with suggest-and-approve changes and description write-back to Snowflake and Databricks.

Compare: data stewardship tools

• Data Stewardship: Stewardship workflows for ownership assignment and governance task management confirmed (docs).

• Review & Approval Workflows: Suggested changes to business terms and catalog resources go to authorized approvers by email and in-app task, and the requester is notified of the decision; a premium automation can open ServiceNow tickets (docs).

• Governance Campaigns: Bulk editing through saved search filters, plus completeness automations that create stewardship tasks per resource (docs).

• Metadata Automation: Smart governance workflows that trigger automatically based on metadata events confirmed (docs).

• Critical Data Elements: No CDE registry found in the docs; custom fields could model it (docs).

• Governance Scorecards: No questionnaire-based maturity scoring; only metadata-completeness tasks (docs).

data.world data classification

• Sensitive Data Discovery: ML-based Sensitive Data Classification (PII, PHI, PCI) runs through the collector (public preview, paid add-on) (docs).

• Data Policy: Keep true but re-source: the cited automations are metadata workflows, while real row-level access control exists only for virtualized tables (private preview, private installs only) (docs).

• Native Policy Enforcement: Writeback to Snowflake and Databricks pushes descriptions and metadata, not access or masking policies (docs).

• Data Masking: No masking; Snowflake masking policies are only cataloged as metadata entities (docs).

data.world AI features

The Archie assistant answers questions in the catalog and in Slack, writes descriptions in bulk, and a hosted MCP server with write tools went live in June 2026.

• AI Features: AI-powered natural language search, AI governance workflows, and knowledge graph-enhanced AI capabilities confirmed (docs).

• AI Chat Assistant: Archie chat answers questions in the catalog and in Slack (docs).

• AI Documentation Generation: Archie enrich writes descriptions for tables, columns, terms and collections (docs).

• Agentic Metadata Enrichment: Archie enrichment is user-triggered (bulk up to 50 at a time), not autonomous (docs).

data.world data compliance

• Data Compliance: Compliance management confirmed — regulatory evidence and compliance reporting capabilities (docs).

• Audit Trail: Audit trail for governance events and policy changes confirmed as part of compliance capability (docs).

• Compliance Reporting: The cited "governance dashboards" track catalog adoption (overview, engagement, search, users), not regulatory evidence (docs).

• Regulatory Framework Mapping: No regulation-to-asset mapping in the docs (docs).

• Data Activity Monitoring: Audit events cover catalog activity, not source-system data access (docs).

• ROPA: No processing-records module (docs).

• Data Retention Policies: No retention policy management in the docs (docs).

• Data Subject Rights: No DSR workflows (docs).

data.world collaboration

• Collaboration: Collaborative data workspace with teams, discussions, and cross-functional data sharing confirmed (docs).

• Alert Notifications: In-app, email, digest and webhook notifications for catalog events (docs).

• Discussions & Annotations: Collaborative workspace allows team discussions and annotations on shared data assets (docs).

• Ticketing Integrations: Approved access requests and suggested changes can go to ServiceNow, with status synced back since Jan 2026 (docs).

data.world data marketplace

Compare: data marketplace tools

• Self-Service Access Requests: The access-request automation routes requests to approver groups (Data Governance Premium tier) (docs).

• Data Products: The Marketplace lists curated Data Products by domain, and users can request access (docs).

• Data Mesh Support: Keep, but re-source from the generic overview to the Marketplace, which publishes data products by business domain (docs).

• Data Marketplace: Enterprise catalog and sharing confirmed but a dedicated self-service marketplace storefront not confirmed (website).

• Subscription Management: Users can subscribe to datasets and projects (e.g., via Slack), but no data-product subscriptions with change alerts are documented (docs).

data.world data quality

• Data Profiling: Summary statistics for virtualized and extracted data (docs).

• Data Quality: Data quality monitoring not confirmed as a dedicated feature (website).

• SQL Table Tests: It runs no checks itself; external results come in through the Data Quality API (private preview) (docs).

• Data Health Scores: Only Good, Moderate or Poor badges set through the Data Quality API, not a composite score (docs).

• Anomaly Detection: No anomaly detection; it relies on integrations such as Monte Carlo (docs).

• Data Contracts: No contract definitions in the docs (docs).

data.world workflows

• Workflows: APIs, smart governance workflows, and enterprise integrations confirmed (docs).

• REST / GraphQL API: The cited API-token page now returns "Whoops!"; re-source to the developer docs (docs).

• MCP Server: Hosted MCP server (2026-06-18) with read and write tools under user permissions (docs).

• dbt Integration: dbt Core and dbt Cloud collectors harvest models, tests and lineage (docs).

• Python SDK: Official Python SDK for querying and managing datasets (docs).

• Browser Extension: The Hoots browser extension for Chrome and Edge shows catalog status inside Tableau and Power BI (public preview, Enterprise private or single-tenant instances only) (docs).

• Webhooks: Organization, dataset and project webhooks fire on changes and access requests (docs).

data.world data context layer

• Knowledge Graph: Core architecture is a standards-based knowledge graph connecting data assets, people, policies, and terms — differentiating product capability (docs).

• Semantic Models: Marketing claims a semantic layer and the graph supports ontologies and R2RML mappings, but auto-generated semantic models for AI are not documented (docs).