Compare Informatica Cloud Data Quality vs. Oracle Data Quality

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Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"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."

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"Once it is set up, it is easy to use and maintain.""With Oracle Data Quality, the most valuable feature is entity matching.""I have found the most valuable features to be data cleansing and deduplication."

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Cons
"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."

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"If the length of time required for deployment was reduced then it would be very helpful.""Oracle is currently not that intuitive. We need to use programmers to write code for a lot of the procedures. We need to have them write CL SQL code and write a CL script.""Oracle Data Quality should integrate with data warehousing solutions such as Azure and CWS Office. For example, having the ability to integrate with tools, such as Azure Synapse and SQL data warehousing would be a great benefit."

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Pricing and Cost Advice
Information Not Available
"The vendor needs to revisit their pricing strategy.""The price of this solution is comparable to other similar solutions."

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Questions from the Community
Top Answer: 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.
Top Answer: I used to use Informatica Cloud Data Quality 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… more »
Top Answer: We have a lot of data from multiple vendors spanning multiple years. We want to have one unified final data standard, rather than searching around to do the quality check. We have a data governance… more »
Top Answer: With Oracle Data Quality, the most valuable feature is entity matching.
Top Answer: We are looking for a really good data integration tool. Oracle is currently not that intuitive. We need to use programmers to write code for a lot of the procedures. We need to have them write CL SQL… more »
Top Answer: We use it in the university fundraising industry. Once students graduate and start giving to the university, they become donors. Then, we need to maintain their giving history. Giving is quite… more »
Ranking
9th
out of 41 in Data Quality
Views
362
Comparisons
311
Reviews
1
Average Words per Review
352
Rating
9.0
7th
out of 41 in Data Quality
Views
292
Comparisons
199
Reviews
3
Average Words per Review
528
Rating
8.0
Comparisons
Also Known As
Cloud Data Quality Radar
Datanomic
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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.

Oracle Enterprise Data Quality delivers a complete, best-of-breed approach to party and product data, resulting in trustworthy master data that integrates with applications to improve business insight.
Offer
Learn more about Informatica Cloud Data Quality
Learn more about Oracle Data Quality
Sample Customers
Freddie Mac, Rabobank
Roka Bioscience, Statistics Centre _ Abu Dhabi , Raymond James Financial inc., CaixaBank, Industrial Bank of Korea, Posco, NHS Business Services Authority, RWE Power, LIFE Financial Group,
Top Industries
VISITORS READING REVIEWS
Computer Software Company38%
Comms Service Provider12%
Energy/Utilities Company9%
Financial Services Firm6%
REVIEWERS
Government29%
Energy/Utilities Company14%
Recruiting/Hr Firm14%
Financial Services Firm14%
VISITORS READING REVIEWS
Computer Software Company47%
Energy/Utilities Company15%
Comms Service Provider12%
Financial Services Firm10%
Company Size
No Data Available
REVIEWERS
Midsize Enterprise25%
Large Enterprise75%
Find out what your peers are saying about SAP, SAS, Informatica and others in Data Quality. Updated: September 2021.
535,544 professionals have used our research since 2012.

Informatica Cloud Data Quality is ranked 9th in Data Quality with 1 review while Oracle Data Quality is ranked 7th in Data Quality with 3 reviews. Informatica Cloud Data Quality is rated 9.0, while Oracle Data Quality is rated 8.0. The top reviewer of Informatica Cloud Data Quality writes "Helpful code writing abilities, scalable, and responsive technical support". On the other hand, the top reviewer of Oracle Data Quality writes "Easy to use and maintain, integrates well, and can handle any type of data". Informatica Cloud Data Quality is most compared with Informatica Data Quality and Microsoft Data Quality Services, whereas Oracle Data Quality is most compared with Informatica Data Quality and SAP Data Quality Management.

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.