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data.world

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Software Status:Active

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

Vendor
data.world
Year Launched
2016
Location
c/o Capital Factory
701 Brazos St. Suite 519
Austin, TX 78701
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries.
Languages
English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese, Korean, Russian
Users
Data Analysts, Data Scientists, Data Engineers, Business Analysts, Data Stewards
Industries Served
Data Catalog, Data Governance, Metadata Management
Tags
Data Governance

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

Free trial
Free version
Request a quote
Promo Offer

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.

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