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Informatica Cloud Data Quality vs Oracle Data Quality comparison

Informatica and Oracle are both solutions in the Data Quality category. Informatica is ranked #3 with an average rating of 8.3, while Oracle is ranked #15. Informatica holds a 2.6% mindshare in DQ, compared to Oracle’s 1.7% mindshare. Additionally, 90% of Informatica users are willing to recommend the solution, compared to 88% of Oracle users who would recommend it.
Informatica Cloud Data Quality
Read 11 Informatica Cloud Data Quality reviews
  • 1,338 Views
  • 927 Comparison Views
90% willing to recommend
Oracle Data Quality
Read 8 Oracle Data Quality reviews
  • 390 Views
  • 184 Comparison Views
88% willing to recommend
 

Comparison Buyer's Guide

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Executive Summary
We performed a comparison between Informatica Cloud Data Quality and Oracle 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.

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To learn more, read our detailed Informatica Cloud Data Quality vs. Oracle Data Quality Report (Updated: October 2024).
Buyer's Guide
Informatica Cloud Data Quality vs. Oracle Data Quality
October 2024
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Helped 816,406 peers since 2012
 

Categories and Ranking

Informatica Cloud Data Quality
Ranking in Data Quality
3rd
Average Rating
8.4
Number of Reviews
11
Ranking in other categories
No ranking in other categories
Oracle Data Quality
Ranking in Data Quality
15th
Average Rating
8.4
Number of Reviews
8
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Data Quality category, the mindshare of Informatica Cloud Data Quality is 2.6%, up from 1.9% compared to the previous year. The mindshare of Oracle Data Quality is 1.7%, down from 2.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

Featured Reviews

TaherDungrawala - PeerSpot reviewer
Has good reusability and CDI features
I use Collibra Data Quality. I switched to Informatica because Collibra cannot integrate. Colibra Cloud Data Quality is a very basic tool. There is no integration capability. If you have problem records, there is no fix to remediate them using the same tool. With Informatica, you can integrate with CDI and then create a remediation plan.
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Venkatraman Bhat - PeerSpot reviewer
Fast, has good extraction, validation, and transformation features, and provides good support
Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the validation. Though the solution offers multidimensional validation, it needs a bit more improvement in the accuracy aspect because smaller products can offer better accuracy in terms of validation compared to Oracle Data Quality. What I'd like to see from the solution in its next release, is an increase in compliances and regulations that would allow it to cover all industries because multiple verticals demand data quality nowadays, and this improvement will be helpful as Oracle Data Quality is an in-built delivered solution.
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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

"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."
"The profiling features are much better than the on-premise version."
"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."
"Initial setup was fairly easy."
"An advantage is its seamless integration with other Informatica capabilities, making data quality a deeply embedded part of the solution."
"Stability-wise, I rate the solution a ten out of ten."
"The most valuable feature is the rule specification."
"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."
More Informatica Cloud Data Quality pros
"With Oracle Data Quality, the most valuable feature is entity matching."
"The features I like most about Oracle Data Quality include extraction, transformation, and validation, which makes it a multipurpose product such as Oracle GoldenGate and Oracle Data Integrator. I also like that Oracle Data Quality is very fast, so you can use it for a large volume of data within a short period. You have to do the validation very quickly, so the solution helps in that area of data quality. Another feature of Oracle Data Quality that I like is the MDM (Master Data Management) where you'll have a single source of protection, and this makes the solution perfect and helpful to my company."
"I have found the most valuable features to be data cleansing and deduplication."
"Once it is set up, it is easy to use and maintain."
 

Cons

"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."
"Logical views are a little bit behind in comparison to the on-premise version."
"Some capabilities from the cloud version are not included in the on-premises version."
"Accessing data as a service is essential, especially for validations requiring external data services. This goes beyond basic syntactic checks, like ensuring an email address contains the @ symbol or .com domain. Instead, it's about advanced validation, such as verifying if an email address exists or if a phone number is valid."
"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."
"The high price of the product is an area of concern where improvements are required."
"You cannot import the data discovery rules you create in the solution to the Cloud Data Governance and Catalog (CDGC)."
"Support response time could be better."
More Informatica Cloud Data Quality cons
"Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the validation. Though the solution offers multidimensional validation, it needs a bit more improvement in the accuracy aspect because smaller products can offer better accuracy in terms of validation compared to Oracle Data Quality. What I'd like to see from the solution in its next release, is an increase in compliances and regulations that would allow it to cover all industries because multiple verticals demand data quality nowadays, and this improvement will be helpful as Oracle Data Quality is an in-built delivered solution."
"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."
 

Pricing and Cost Advice

"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."
"We pay for a yearly subscription."
"Informatica Cloud Data Quality is a costly solution."
"The price of this solution is comparable to other similar solutions."
"The vendor needs to revisit their pricing strategy."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
10%
Computer Software Company
8%
Logistics Company
7%
Financial Services Firm
32%
Computer Software Company
10%
Manufacturing Company
8%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Informatica Cloud Data Quality?
The profiling features are much better than the on-premise version.
See all answers
What needs improvement with Informatica Cloud Data Quality?
Accessing data as a service is essential, especially for validations requiring external data services. This goes beyond basic syntactic checks, like ensuring an email address contains the @ symbol ...
See all answers
What is your primary use case for Informatica Cloud Data Quality?
We use the solution to validate emails, telephone numbers, and postal codes. It can also create some data quality rules using the Cloud app's data quality function.
See all answers
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Comparisons

Informatica Intelligent Data Management Cloud (IDMC) vs Informatica Cloud Data Quality Logo
Informatica Intelligent Data Management Cloud (IDMC) vs Informatica Cloud Data Quality
Compared 100% of the time
More Informatica Cloud Data Quality Competitors
Informatica Intelligent Data Management Cloud (IDMC) vs Oracle Data Quality Logo
Informatica Intelligent Data Management Cloud (IDMC) vs Oracle Data Quality
Compared 100% of the time
More Oracle Data Quality Competitors
 

Product Reports

Buyer's Guide
Data Quality
October 2024
Informatica Cloud Data Quality reportDownload Informatica Cloud Data Quality product report
Buyer's Guide
Data Quality
October 2024
Oracle Data Quality reportDownload Oracle Data Quality product report
 

Also Known As

Cloud Data Quality Radar
Datanomic
 

Learn More

Informatica
Oracle
 

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.
 

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,
Buyer's Guide
Informatica Cloud Data Quality vs. Oracle Data Quality
October 2024
Free Report: Informatica Cloud Data Quality vs. Oracle Data Quality
Find out what your peers are saying about Informatica Cloud Data Quality vs. Oracle Data Quality and other solutions. Updated: October 2024.
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816,406 professionals have used our research since 2012.
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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.