Azure Data Catalog vs. IBM Knowledge Catalog

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
IBM Knowledge Catalog
Score 8.6 out of 10
N/A
IBM Knowledge Catalog is a cloud-based enterprise metadata repository allowing users to catalog knowledge and analytics assets, including machine learning models and structured and unstructured data wherever they reside, so that they can be easily accessed and used to fuel data science and all forms of AI.N/A
Pricing
Azure Data CatalogIBM Knowledge Catalog
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure Data CatalogIBM Knowledge Catalog
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 CatalogIBM Knowledge Catalog
Top Pros
Top Cons
Best Alternatives
Azure Data CatalogIBM Knowledge Catalog
Small Businesses

No answers on this topic

No answers on this topic

Medium-sized Companies
Alteryx
Alteryx
Score 9.0 out of 10
Alteryx
Alteryx
Score 9.0 out of 10
Enterprises
Alteryx
Alteryx
Score 9.0 out of 10
Alteryx
Alteryx
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure Data CatalogIBM Knowledge Catalog
Likelihood to Recommend
8.8
(10 ratings)
8.7
(3 ratings)
User Testimonials
Azure Data CatalogIBM Knowledge Catalog
Likelihood to Recommend
Microsoft
Azure Data Catalog helps us solve data discovery problems
brilliantly. Our organization created a single source of truth for our data,
which allowed us to develop BI and data science solutions. We can drag tables
or data sources to manage workflow. Some of the more complicated data normalization
or standardization issues need to be simplified, and I'd like to see that
happen.
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IBM
The IBM Watson Knowledge Catalog is most well suited for large companies. With large companies storing data for a long amount of time, this can be helpful to allow all team members to find documents with ease. It would be less appropriate for storage that is deleted very often or does not needs to be saved for long amounts of time.
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Pros
Microsoft
  • 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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IBM
  • Data discovery.
  • Technical Data Lineage.
  • Business Data Lineage.
  • Data .
  • Multiple Data Catalog Management.
  • Creation of Governance Rules.
  • Data Masking.
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Cons
Microsoft
  • Maintenance and creation of documentation for data sources takes a lot of time
  • One cannot connect to data using a client's app unless they know the locus of the data source.
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IBM
  • I think an industry-specific data catalog service will be good.
  • Effective alignment of IBM consulting services and bringing in an Industry point of view will be great.
  • Effective reach out like roadshows, etc. will be good.
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Alternatives Considered
Microsoft
Azure Data Catalogue was chosen for
  • Microsoft's customer service and expertise
  • Experience with Azure Cloud Solutions
  • Reviews from peers on functionality and performance
  • Product roadmap
  • Overall costs
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IBM
The IBM Watson Knowledge Catalog is a great amount of storage for the price. It is easily accessed by all users in the company. It provides great search features and clear pathways to locate documents. This is great for the team and our client when needing access to a specific document.
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Return on Investment
Microsoft
  • Azure platform makes it easier for us to register & catalogue all available information easily. This way when the customer actually made a sudden request or they want to access sensitive information on their own, the data is readily presented to them. Needless to say we use this mined and catalogue data for a variety of inhouse training and other improvement initiatives.
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IBM
  • The negative note: is that it needs to have a very secure cloud infrastructure and with its data well defined for integration with other databases.
  • The positive point: allows for quick data discoveries aiding a quick implementation of privacy programs.
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ScreenShots