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Qlik Catalog vs. Talend Data Catalog

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Qlik Catalog
Score 8.0 out of 10
N/A
Qlik Catalog (formerly Qlik Data Catalyst) builds a secure, enterprise-scale catalog of all the data in an organization available for analytics users as a service across lakes, warehouses, transactional systems, and file systems. It is able to recognize, profile, tag, and secure data in different formats (RDBMS, file, XML, JSON, Mainframe Copy Book) and make it searchable and available to users based on their role. The software also provides automated data preparation capabilities to streamline…
$30
per month per user
Talend Data Catalog
Score 8.4 out of 10
N/A
The Talend Data Catalog allows users to create a central, governed catalog of enriched data that is documented automatically and can be shared and collaborated on. It offers organization a single, secure point of control for data with tools for search and discovery, and connectors to extract metadata from virtually any data source. The Talend Data Catalog is used to protect data, govern analytics, manage data pipelines, and accelerate ETL processes.N/A
Pricing
Qlik CatalogTalend Data Catalog
Editions & Modules
Qlik Sense® Business
$30
per month per user
Qlik Sense® Enterprise SaaS
Contact Sales
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Offerings
Pricing Offerings
Qlik CatalogTalend Data 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
Qlik CatalogTalend Data Catalog
User Ratings
Qlik CatalogTalend Data Catalog
Likelihood to Recommend
7.0
(0 ratings)
-
(0 ratings)
User Testimonials
Qlik CatalogTalend Data Catalog
Likelihood to Recommend
We can connect to any source, flat flies, any JDBC, odbc connection can be made. Transformation of data is too slow.
Verified User
Anonymous
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Pros
  • Cost management
  • Improve customer relations/service
  • Improve business process outcomes
Verified User
Anonymous
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No answers on this topic
Cons
  • Transformation of data is too slow
  • Limited features available
  • Complex data structure
Verified User
Anonymous
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No answers on this topic
Alternatives Considered
Automatic preparation of raw data into analytics. Our company made to decision to improve customer relations and service.
Verified User
Anonymous
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No answers on this topic
Return on Investment
  • It can occupy lot of RAM space
  • More focus on reporting module
Verified User
Anonymous
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No answers on this topic
ScreenShots