Informatica Cloud Data Quality vs Informatica Data Quality comparison

Cancel
You must select at least 2 products to compare!
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Informatica Cloud Data Quality and Informatica Data Quality based on real PeerSpot user reviews.

Find out in this report how the two Data Quality solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Informatica Cloud Data Quality vs. Informatica Data Quality Report (Updated: March 2024).
765,234 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"We primarily used Cloud Data Profiling to connect with Cloud Data Governance, a tool also used by Teva. This integration allowed users to access data quality results within the data governance catalog.""The most valuable feature is the rule specification.""The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based.""Initial setup was fairly easy.""One of the most valuable features of Informatica Cloud Data Quality is Master Data Management. You can write code to build your logic rules to check the quality.""The profiling features are much better than the on-premise version.""Stability-wise, I rate the solution a ten out of ten.""The user-friendliness and performance of Informatica is quite impressive."

More Informatica Cloud Data Quality Pros →

"The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation.""There are a couple of valuable features. One is that it is very quick on the profiling. So, you get a very fast snapshot of the type of data that you're looking at from the profiling perspective. It can highlight anomalies in the data.""I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset.""Informatica Data Quality is a product that is worth the money.""The solution is applicable for both technical and business users.""It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily. It is working fine. It is also stable, scalable, and easy to deploy.""The user interface is flexible and the visibility of the data flow is amazing.""We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."

More Informatica Data Quality Pros →

Cons
"In the on-premises version, features like web service consumer and web service provider are available, but these functionalities are currently unavailable in the cloud edition.""I used to use this tool more but recently we have been using another tool that we feel is better because it handles spatial data. Informatica Cloud Data Quality could improve by adding the ability to handle spatial data.""Some capabilities from the cloud version are not included in the on-premises version.""The high price of the product is an area of concern where improvements are required.""The integration with older technology and cloud quality needs improvement.""Logical views are a little bit behind in comparison to the on-premise version.""If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience.""Informatica Cloud Data Quality could improve by adding more algorithms for matching and mastering. We currently only have five or six. Additionally, the parallelism in data is better in other solutions, such as IBM."

More Informatica Cloud Data Quality Cons →

"One area that could use improvement is the speed of the web interfaces. At present, they are very slow. I think it is essential that we are original and robust on-premises.""The tool's performance is an area that should be given further consideration.""Considering internal data from legacy systems, it is quite difficult to know if Informatica Data Quality meets that high level of accuracy criteria.""It can be improved in terms of performance and execution. I'm expecting better performance. It currently has some restrictions in terms of execution. For example, if we want to run it in the command mode and execute it, there are some restrictions, and we are facing some issues with a huge volume of data. These restrictions are not there in Informatica PowerCenter because we are able to execute a huge volume of data, and there are more ways to execute it.""Informatica is very expensive.""Although we are very satisfied with the design of the UI, executing tasks with it can be difficult.""Managing the licenses with the on-premises version was difficult.""The ability of the product to leverage the power of big data could be improved."

More Informatica Data Quality Cons →

Pricing and Cost Advice
  • "We pay for a yearly subscription."
  • "The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."
  • More Informatica Cloud Data Quality Pricing and Cost Advice →

  • "Informatica is very expensive."
  • "I rate the product's pricing a seven on a scale of one to ten, where one is the lowest price and ten is the highest price."
  • More Informatica Data Quality Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Data Quality solutions are best for your needs.
    765,234 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:The profiling features are much better than the on-premise version.
    Top Answer:We have complex datasets. Logical views are a little bit behind in comparison to the on-premise version.
    Top Answer:The solution is used for data quality implementation. We handle the whole life cycle of data quality from end to end, including rule specification and exception handling.
    Top Answer:The profiling feature in Informatica Data Quality is incredibly effective for data governance.
    Top Answer:Informatica's licensing cost is among the highest in the market. I would rate it as a five out of ten in terms of costliness. With Informatica, we have a single bundled agreement covering the entire… more »
    Top Answer:There is room for improvement in the Data Marketplace aspect. Specifically, we found some basic functionalities lacking, like transparent integration of quality indicators. Customizability and… more »
    Ranking
    3rd
    out of 44 in Data Quality
    Views
    1,664
    Comparisons
    1,136
    Reviews
    6
    Average Words per Review
    546
    Rating
    8.0
    1st
    out of 44 in Data Quality
    Views
    3,638
    Comparisons
    2,014
    Reviews
    8
    Average Words per Review
    593
    Rating
    7.8
    Comparisons
    Also Known As
    Cloud Data Quality Radar
    Learn More
    Overview

    Informatica Cloud Data Quality Radar is a cloud application that quickly identifies, fixes, and monitors data quality problems in your business applications—wherever they are, in the cloud or on-premise.

    This easy-to-use, browser-based tool empowers line-of-business managers to take ownership of the data quality process so business can maximize the return on trusted data. Informatica Cloud Data Quality Radar enables you to quickly assess the strengths and weaknesses in your data, to track improvements in the data over time, and to calculate data quality scores for objects and field entities with the flexibility to filter and drill down on specific records for better detection of problems.

    Deliver high-quality clean and trusted data with an enterprise class data quality and governance solution that scales, regardless of size or format or data, platform, or technology.

    Sample Customers
    Freddie Mac, Rabobank
    Condé Nast, Tani, U.S. Xpress Enterprise
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company13%
    Manufacturing Company9%
    Government6%
    REVIEWERS
    Computer Software Company31%
    Financial Services Firm23%
    Comms Service Provider15%
    Insurance Company8%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company12%
    Manufacturing Company11%
    Government6%
    Company Size
    REVIEWERS
    Small Business43%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise13%
    Large Enterprise68%
    REVIEWERS
    Small Business17%
    Midsize Enterprise6%
    Large Enterprise78%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise11%
    Large Enterprise71%
    Buyer's Guide
    Informatica Cloud Data Quality vs. Informatica Data Quality
    March 2024
    Find out what your peers are saying about Informatica Cloud Data Quality vs. Informatica Data Quality and other solutions. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Informatica Cloud Data Quality is ranked 3rd in Data Quality with 8 reviews while Informatica Data Quality is ranked 1st in Data Quality with 17 reviews. Informatica Cloud Data Quality is rated 8.2, while Informatica Data Quality is rated 7.8. The top reviewer of Informatica Cloud Data Quality writes "Is user friendly and can handle large volumes of data without compromising performance". On the other hand, the top reviewer of Informatica Data Quality writes "Quick on profiling and scales very well, but needs better UI and more reporting capabilities". Informatica Cloud Data Quality is most compared with Talend Data Quality and Syniti Data Quality, whereas Informatica Data Quality is most compared with Talend Data Quality, Trillium TS Quality, Oracle Data Quality, IBM Infosphere Information Analyzer and SAP Information Steward. See our Informatica Cloud Data Quality vs. Informatica Data Quality report.

    See our list of best Data Quality vendors.

    We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.