data.world logo

data.world

Growth

data.world is an enterprise data catalog and knowledge graph platform that connects data assets with business context for governed, AI-ready data management.

Best for: Enterprise Data Catalog & Knowledge Graph
53
AI Score
Grade C
AI Visibility Score (Beta)
Data & AnalyticsEnterprise Data Catalog & Knowledge GraphWebsiteUpdated October 2026

Brand Intelligence Graph

Capabilities
Enterprise Data Catalog & Knowledge Graph

Company Overview

About data.world

data.world is an enterprise data catalog and knowledge graph platform that represents the data landscape as a connected graph of relationships between data assets, business concepts, people, and processes — enabling organizations to answer not only "where is this data?" but "how does this data relate to our business concepts, who owns it, what policies govern it, and which other assets does it affect?" The platform's knowledge graph architecture stores metadata in a graph structure that can represent the rich interconnections between entities in the data environment more naturally than tabular catalog storage, making it possible to query the catalog with graph traversal logic that discovers relationships and dependencies that flat catalog structures cannot navigate. This approach is particularly valuable for organizations building AI applications that need richly connected contextual metadata to ground language model responses in accurate organizational knowledge.

Business Model & Competitive Advantage

Data.world's catalog provides data asset discovery with business glossary integration, stewardship workflows, and lineage visualization that gives data consumers the context needed to assess fitness for use. The platform's governance capabilities include policy management, data classification, and access request workflows that enforce data governance policies at the catalog layer, providing a governed data marketplace experience where data consumers can discover, request access to, and consume data through a structured governance process. Data.world also provides APIs that expose the knowledge graph to external applications, making the catalog's connected metadata accessible for downstream AI, analytics, and governance tool integrations.

Competitive Landscape 2025–2026

Data.world is headquartered in Austin, Texas and has raised significant venture funding to develop its knowledge graph-based approach to enterprise data management. The platform targets data governance leaders and chief data officers at enterprises in financial services, pharmaceutical, retail, and technology sectors that are investing in both governance programs and AI-readiness initiatives where high-quality, contextually rich metadata is a prerequisite. Data.world competes with Collibra, Alation, and Atlan in the enterprise data catalog market, differentiating through its knowledge graph data model and its positioning as an AI-ready data catalog for organizations building LLM-powered data applications.

Headquarters
Austin, Texas
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Frequently Asked Questions

Estimated Visibility Trend (Beta)

Simulated 8-week rolling score

53
→ Stable

Based on estimated brand signals. Historical tracking coming soon.

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