About data.world
Data.world is a data management platform from data.world that helps find data and metadata quickly while developing data products and analytics. It provides features such as data cataloging, collaborative tools, and reliable API access so teams can effectively manage their data assets. With AI-ready capabilities from the start, it supports building trusted AI applications. Users can use advanced analytics and visualization tools to gain insights and drive business decisions. Key capabilities: data cataloging collaborative tools API access analytics visualization Best for: data professionals and analysts that need to organize, analyze, and share data effectively.
[*Data.world*](http://Data.world) *by [data.world](http://data.world)* is a modern cloud-based data catalog and governance platform designed to enhance enterprise data collaboration, discovery, and stewardship. Positioned as an enterprise data governance solution with a knowledge-graph foundation, its core mission is to connect data, metadata, and people to drive smarter decision-making and compliance. At its heart, [data.world](http://data.world) offers powerful capabilities for metadata management, data discovery, data lineage, collaboration, and policy management. The platform uniquely incorporates semantic web technologies, allowing organizations to create linked data environments that promote context-aware data usage and governance. It’s widely used by both technical and business teams to build a data culture that’s transparent, organized, and scalable. The user interface of [*data.world*](http://data.world) is clean, responsive, and thoughtfully designed for both data engineers and business users. The layout emphasizes collaboration, with intuitive navigation tabs for datasets, queries, projects, glossary, and metadata. One of the standout features is the social-like activity feed, allowing users to track changes, discussions, and dataset updates in real time. The search function is robust, allowing for keyword-based lookups, metadata filtering, and semantic context suggestions.
Pros & Cons
- Its foundational knowledge graph and AI Context Engine provide superior data understanding and significantly enhance the accuracy and trustworthiness of AI applications.
- Automates and streamlines governance processes, ensuring data quality, compliance, and responsible AI adoption.
- Offers intelligent, Google-like search that understands business context, making it easy for users to find the data they need.
- Creates a unified view of the entire data landscape, fostering better collaboration and a single source of truth.
- While the UI is generally user-friendly, power users or administrators might need to learn new concepts related to graph models (e.g., semantic modeling or SPARQL) to fully leverage advanced capabilities.
- Integrating very niche or homegrown data sources might require additional effort or custom development using APIs.
- While strong, some users suggest its advanced governance features might not be as extensive as some long-established competitors.
Features
Key features
Provides Google-like search for data teams that understands not just technical context but also business meaning, making data discovery more intuitive and efficient.
Allows for governance to be set on autopilot with smart workflows that adapt to how teams work, simplifying compliance and ensuring data quality.
Breaks down data silos by creating a single, unified view of an organization's entire data landscape, from source to insight, facilitating better understanding and utilization.
Delivered as a cloud-native SaaS, data.world ensures continuous innovation, effortless scalability, and eliminates infrastructure headaches and hidden costs.
Additional features
Streamlines and automates data governance processes.
Connects disparate data sources into a single, cohesive view.
Enhances LLM accuracy, explainability, and governance for AI applications.
A software-as-a-service solution delivered in the cloud for scalability and ease of use.
Traces how data flows through systems, showing upstream sources and downstream transformations.
Defines and manages key business terms, linking them to data assets.
Integrates with various data sources like cloud warehouses (e.g., Snowflake), BI tools, and ETL/ELT systems.
Manages technical, business, and custom metadata.
Allows for detailed documentation and notes on individual data assets.
Pricing
Countries & Languages
Available in
Interface languages
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About data.world
Data.world is a data management platform from data.world that helps find data and metadata quickly while developing data products and analytics. It provides features such as data cataloging, collaborative tools, and reliable API access so teams can effectively manage their data assets. With AI-ready capabilities from the start, it supports building trusted AI applications. Users can use advanced analytics and visualization tools to gain insights and drive business decisions. Key capabilities: data cataloging collaborative tools API access analytics visualization Best for: data professionals and analysts that need to organize, analyze, and share data effectively.
data.world Details
data.world's In-App Market Place
Does data.world have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
Usd ($), Eur (€), Gbp (£), Aud (A$), Cad (C$), Jpy (¥), Chf (F), Cny (¥), Inr (₹), Rub (₽), Zar (R), Brl (R$), Mxn ($)
Pros & Cons
- Its foundational knowledge graph and AI Context Engine provide superior data understanding and significantly enhance the accuracy and trustworthiness of AI applications.
- Automates and streamlines governance processes, ensuring data quality, compliance, and responsible AI adoption.
- Offers intelligent, Google-like search that understands business context, making it easy for users to find the data they need.
- Creates a unified view of the entire data landscape, fostering better collaboration and a single source of truth.
- While the UI is generally user-friendly, power users or administrators might need to learn new concepts related to graph models (e.g., semantic modeling or SPARQL) to fully leverage advanced capabilities.
- Integrating very niche or homegrown data sources might require additional effort or custom development using APIs.
- While strong, some users suggest its advanced governance features might not be as extensive as some long-established competitors.
data.world's Support Options
Email Address
hello@data.worldContact
+15126974897Community Forums
https://data.world/company/open-community/data.world's Alternatives
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