Azure Data Catalog vs. data.world

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Data Catalog
Score 8.7 out of 10
N/A
Microsoft's Azure Data Catalog is an enterprise-wide metadata catalog designed to make data asset discovery straightforward, a fully-managed service that lets analysts. data scientists, and developers to register, enrich, discover, understand, and consume data sources.N/A
data.world
Score 8.0 out of 10
N/A
data.world in Austin offers their metadata management solution, an enterprise data catalog, allowing users to create reusable, extensible data and analysis. Capture context and knowledge as teams work, so it’s easy to understand, check, and build on what they produce.N/A
Pricing
Azure Data Catalogdata.world
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure Data Catalogdata.world
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Azure Data Catalogdata.world
User Ratings
Azure Data Catalogdata.world
Likelihood to Recommend
8.8
(0 ratings)
8.0
(0 ratings)
Usability
-
(0 ratings)
8.0
(0 ratings)
Support Rating
-
(0 ratings)
10.0
(0 ratings)
User Testimonials
Azure Data Catalogdata.world
Likelihood to Recommend
Azure Data Catalog has helped our data governance and BI
efforts. It's an enterprise-level data dictionary that grows with our data
ecosystem. We build cloud-native apps with data management tools. And we get
insights quickly and with less overhead, and the drag-and-drop interface is one
of the best parts of it. Drag-and-drop is easy so that we can deliver quickly.
Visual effects make it more flexible. One thing to note is that working on it
requires some skill to maintain the integrity of all the components. Another
improvement would be lowering the licensing cost.
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Well suited
  • For quickly discovering, preparing, and sharing relevant data from a wide range of
    sources.
  • Easily managing numerous file formats.
  • For contributing and discussing data in one place to aid fast, efficient collaboration.
  • For joining datasets from many sources.
  • Integrating datasets with other platforms.
Less appropriate
  • For full data management.
  • For those unfamiliar with database concepts and SQL.
  • Very limited chart builder
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Pros
  • It's easy to use and implement.
  • Ownership of the data.
  • It's helpful for all businesses.
  • Policy on data preservation.
  • It can utilize various data sources.
  • Data management is secure and simple.
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  • Ingest data from almost any source
  • Join disparate datasets
  • Integrate with other platforms
  • Create subsets of data and share across teams
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Cons
  • We have been it for a while now and I do not see any major concerns with the product interms of UX/UI, product support and periodic releases
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  • Organize queries/datasets by categories
  • Allow data edits for admins
  • Requires knowledge of SQL - visual SQL builder would help with accessibility
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Usability
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It's a very user-friendly platform for those familiar with database concepts and SQL. Documentation is extensive but for those with no prior knowledge it can be daunting. The lack of ability to organize queries and datasets by category can also be frustrating and sometimes difficult to navigate.
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Support Rating
No answers on this topic
Support has always been excellent.
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Alternatives Considered
To create cloud-native applications, we rely on Azure Data
Catalog for data management. I believe it was better suited to our organization
and maturity level regarding costs and onboarding procedures. We can get
insights quickly and with less work. Familiarity also played a role in our
choice. In general, I believe this product is worthwhile. But the IT
environment in which it will be deployed will impact this. Therefore, compared
to other tools on the market, Azure Data Catalog is the best option.
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I haven't looked at any other products.
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Return on Investment
  • Less time spent on data searches.
  • Discovering, understanding and consumption of data sources is much easier.
  • We recover data from different locations from a central point.
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  • Minimized the organizational reliance on Excel & email
  • Provides more effective validation & standardization
  • Allows staff easy access to data
  • Slow adoption across the organization due to learning curve
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ScreenShots