Azure Data Catalog vs. CatalogExpress

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
CatalogExpress
Score 0.0 out of 10
N/A
nexoma's software solution "CatalogExpress" is a versatile SaaS tool for data syndication. It consolidates product data from one or multiple sources and file formats (CSV, XML, JSON, XLSX, etc.) and prepares these datasets for customer-specific target formats. The desired exchange formats (e.g., XLSX, BMEcat, xChange, FAB DIS) including classifications such as ETIM or ECLASS, are then exported with optimized product data and distributed manually or on a schedule to customers,…N/A
Pricing
Azure Data CatalogCatalogExpress
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure Data CatalogCatalogExpress
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeRequired
Additional Details
More Pricing Information
Community Pulse
Azure Data CatalogCatalogExpress
User Ratings
Azure Data CatalogCatalogExpress
Likelihood to Recommend
8.8
(9 ratings)
-
(0 ratings)
User Testimonials
Azure Data CatalogCatalogExpress
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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nexoma GmbH
No answers on this topic
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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nexoma GmbH
No answers on this topic
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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nexoma GmbH
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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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nexoma GmbH
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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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nexoma GmbH
No answers on this topic
ScreenShots

CatalogExpress Screenshots

Screenshot of the CatalogExpress login page. The SaaS feed management solution consolidates and optimizes product data for seamless distribution across various channels and formats. It is currently operable in English, German, and Spanish, with more languages to be implemented sequentially.Screenshot of where CatalogExpress consolidates product data from various sources (CSV, XML, JSON, XLSX) and prepares it for customer-specific formats. This screenshot shows the data mapping UI, where source data can be mapped to corresponding target data fields. After mapping, the data can be verified against respective XSD schemas and generated in various formats (e.g., XLSX, BMEcat, ETIM xChange, and many more).Screenshot of the workflow where CatalogExpress consolidates data from multiple sources, including different file formats (e.g., single CSV tables) and several systems (PIM, ERP, DAM, MDM, and more), with existing connectors to systems like Akeneo, ATAMYA/eggheads, Contentserv, Crossbase, OMN by Apollon, Oxid, Pimcore, Shopware, and Viamedici.Screenshot of the interface in CatalogExpress where users can automatically distribute their generated data via email, SFTP, or API, ensuring compliance with quality standards through data verification against standard schemas or custom mechanisms.