Data Catalog Platform (data.world)
Business Profile
Core Value Proposition
data.world Data Catalog Platform provides an enterprise data catalog that turns data chaos into clarity for CIOs, governance professionals, data analysts, and engineers in the AI era.
Target Customer
Enterprise data teams and decision-makers including CIOs, data governance professionals, data analysts, data engineers, and business users across large organizations.
Key Differentiator
AI-ready from Day One with a knowledge graph that turns the entire data ecosystem into a living, learning brain; includes an AI Context Engine for governed, explainable AI-powered responses; enterprise-grade search and DataOps governance without infrastructure headaches.
Implementation Timeline
Not specified
Pain Points
- 1Siloed data and lack of a single view across data sources
- 2Difficulty discovering data and understanding data lineage and metadata
- 3Managing data governance, compliance, and consistent DataOps in an AI-led environment
Key Features
- 1Data catalog for enterprise-wide discovery and governance
- 2Knowledge graph to model relationships between data elements, business elements, and decision elements
- 3AI Context Engine for accurate, explainable responses from LLMs
- 4Enterprise search tailored for technical context and business meaning
- 5Common integrations with Snowflake, Oracle, Postgres, SQL, Databricks, and Dremio
Target Customer Industries
Decision Makers
- 1Brand President
- 2VP of Data and Analytics
Client Results
- 14.2x more accurate insights from knowledge graph-enabled AI queries (cited as a performance claim in materials)
- 2Reduced downtime and faster issue resolution in real-world deployments (case examples show rapid fixes)
- 3Improved data discovery and governance across enterprise data landscapes
Competitive Advantages
- 1Strong knowledge-graph-based understanding of data relationships
- 2AI-ready platform with automated governance capabilities
- 3Unified view across sources and data lineage from source to insight
- 4No hidden infrastructure costs and cloud-native delivery
Key Benefits
Case Studies & Success Stories
A Norwegian Cruise Line brand president's 5 AM dashboard crisis
data.world helped transform operations across a 28-ship fleet, turning a 5 AM dashboard crisis into a 10-minute fix.
How OneWeb gets Data from Space to Earth to End Users in Minutes
data.world enables rapid delivery of space-derived data to end users in minutes.
Prologis — VP of Data and Analytics
Luke Slotwinski (VP of Data and Analytics) cites the knowledge graph as enabling relationships between data elements, business elements, and decision elements.
Learning Care Group
Focused on encouraging and facilitating data use in non-technical business-user decision making across the organization.
Vopak
Sought a clearer understanding of and access to data assets and associated metadata.
White Lion
Aimed to democratize access to data while ensuring its integrity.
Penguin Random House
International home to 300+ editorially and creatively independent imprints; case referenced as a customer example for data catalog capabilities.
Additional Product Information
Product Description
An enterprise data catalog designed to turn data chaos into clarity, enabling data discovery, data governance, and DataOps with AI-ready governance and a knowledge-graph-driven understanding of data relationships.
Target Market
Enterprises and large organizations seeking to unify data discovery, governance, and AI-enabled data use across multiple teams and domains.
Unique Value Proposition
AI-ready data catalog powered by a knowledge graph and AI Context Engine, delivering accurate, governed AI responses and unified enterprise search across source-to-insight data landscapes.
Technical Requirements
Common Integrations: Snowflake, Oracle Database, Postgres, SQL, Databricks, dremio
Pricing Model
Not disclosed
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