Azure Data Catalog vs. IBM watsonx.data intelligence

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 watsonx.data intelligence
Score 8.2 out of 10
N/A
IBM® watsonx.data intelligence provides data governance software (formerly IBM Knowledge Catalog) that provides a data catalog to automate data discovery, data quality management and data protection - for both structured and unstructured data.N/A
Pricing
Azure Data CatalogIBM watsonx.data intelligence
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure Data CatalogIBM watsonx.data intelligence
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsIBM watsonx.data intelligence's pricing that scales with usage and functionality. watsonx.data intelligence can be deployed in various environments such as cloud, hybrid, or on-premises. The on-premises offering is available via subscription or perpetual licenses, charged with a consumption-based Resource Unit model. The SaaS offering is available via Resource Units or Instances, with the ability to upgrade to higher tiers as needed.
More Pricing Information
Community Pulse
Azure Data CatalogIBM watsonx.data intelligence
Considered Both Products
Azure Data Catalog
Chose Azure Data Catalog
We considered alternative tools, but most of our infrastructure was already linked to Azure. Therefore, Azure Data Catalog seemed that integrating the location of our data would be easier and safer. An
Chose Azure Data Catalog
Azure Data Catalogue was chosen for
  • Microsoft's customer service and expertise
  • Experience with Azure Cloud Solutions
Chose Azure Data Catalog
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
Chose Azure Data Catalog
As an organization we use Azure platform heavily. Decision to user Azure Data Catalog was a no-brainer considering the easy at which we can integrate it with rest of the infrastructure we already have in place. UX/UI, the powerful data analytics engine was a huge plus. Support …
Chose Azure Data Catalog
I feel Azure Data Catalog was better suited for our industry and maturing level in terms of costs and onboarding processes in place. I also feel familiarity played a very big role in us choosing the platform over others. For enterprises, I would recommend AWS but not for …
Chose Azure Data Catalog
We selected Azure because of other Microsoft products in our ecosystem. The interface and ability to move items across applications like Teams made it easy to adopt. Azure Data Catalog also came highly rated for reliability. We were certain that with it, our people wouldn’t …
IBM watsonx.data intelligence
Chose IBM watsonx.data intelligence
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 …
Chose IBM watsonx.data intelligence
Adabas is a tool for managing Data Governance because an IBM tool has an advantage because it doesn't have the cloud and that makes integration much easier, it has the lowest price on the market and its performance in data discovery is faster than competitors.
User Ratings
Azure Data CatalogIBM watsonx.data intelligence
Likelihood to Recommend
8.8
(0 ratings)
8.7
(0 ratings)
User Testimonials
Azure Data CatalogIBM watsonx.data intelligence
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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It's great for data discovery and analyzing the quality of that data, and it's great for managing that catalog with strong rules and policies. It has an easy policy management and data governance rules and has a very good graphic tool to show the integration between business terms and physical data not good for managing data privacy and mapping personal data handling processes
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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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  • Data
  • Storage
  • Collection
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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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  • Data discovery performance.
  • Discovery of unstructured data.
  • Integration with Privacy Management API.
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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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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
  • 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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  • Too early to determine ROI.
  • I have had cases where IBM Watson has been offered with a suite of services
  • With strengths in enterprise asset management, it has a lot of potential to be the platform of choice.
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ScreenShots