Informatica Data Catalog vs. Mu Sigma muRx

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Informatica Data Catalog
Score 7.8 out of 10
N/A
A solution to speed up analytics and data science projects with an automated, simplified data preparation tool.N/A
muRx
Score 0.0 out of 10
N/A
Mu Sigma headquartered in Northbrook offers muRx, a problem space modeling, analytics planning and data preparation tool designed to support business decisioning and BI processes.N/A
Pricing
Informatica Data CatalogMu Sigma muRx
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
Informatica Data CatalogmuRx
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
Informatica Data CatalogMu Sigma muRx
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IBM InfoSphere Information Server
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Score 8.0 out of 10
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User Ratings
Informatica Data CatalogMu Sigma muRx
Likelihood to Recommend
8.0
(1 ratings)
-
(0 ratings)
User Testimonials
Informatica Data CatalogMu Sigma muRx
Likelihood to Recommend
Informatica
I am working in a medical device company and we require a large amount of data to analyze. Handling large amounts of data using this tool is very easy and the user interface is easy and simple to navigate. Earlier we used to use excel and text files to extract the data but now using this tool we have improved in transforming the data.
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Mu Sigma
No answers on this topic
Pros
Informatica
  • Improve the business process outcomes
  • Create internal/external operational efficiencies
  • Product functionality and performance
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Mu Sigma
No answers on this topic
Cons
Informatica
  • Dependency with other systems like Hadoop as it's data repository.
  • Service slow connection sometimes.
  • Configuration should be easy.
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Mu Sigma
No answers on this topic
Alternatives Considered
Informatica
To improve the business process outcomes we have purchased this tool. By using this tool data preparation is easy and much [more] flexible and I would suggest [it as] a good option to try. As it is built with powerful AI and supports as large datasets as we can get without any reduction in performance.
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Mu Sigma
No answers on this topic
Return on Investment
Informatica
  • Dependency on hadoop cluster as its repository
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Mu Sigma
No answers on this topic
ScreenShots