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 7.9, while Oracle is ranked #15. Informatica holds a 6.6% mindshare in DQ, compared to Oracle’s 1.5% mindshare. Additionally, 75% of Informatica users are willing to recommend the solution, compared to 88% of Oracle users who would recommend it.

Informatica Cloud Data Quality

Read 17 Informatica Cloud Data Quality reviews

951 Views
941 Comparison Views

75% willing to recommend

Oracle Data Quality

Read 8 Oracle Data Quality reviews

325 Views
319 Comparison Views

88% willing to recommend

Informatica Cloud Data Quality

Oracle Data Quality

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Executive SummaryUpdated on Jan 6, 2025

Oracle Data Quality and Informatica Cloud Data Quality are direct competitors in the data quality solutions sector. Informatica holds a competitive edge due to its extensive feature set and adaptability, making it ideal for varied IT environments.

Features: Oracle Data Quality integrates seamlessly with Oracle databases, supports data governance, and offers robust validation features. Informatica Cloud Data Quality features broad data connectivity, scalability, and advanced profiling, making it suitable for complex data handling and providing master data management tools.

Room for Improvement: Oracle could improve in supporting non-Oracle systems, expand its profiling capabilities, and enhance user interface simplicity. Informatica could benefit from reduced initial deployment complexity, enhanced local data handling, and streamlined integration with legacy systems.

Ease of Deployment and Customer Service: Oracle excels in environments heavily based on Oracle technology but faces challenges outside of them. Informatica provides a user-friendly cloud model, offering wide compatibility and flexible support services, facilitating easier deployment across different systems.

Pricing and ROI: Oracle often offers a more favorable upfront cost for current Oracle clients due to lower integration fees. Informatica, despite potentially higher setup expenses, offers better ROI through its comprehensive and scalable feature set, proving valuable for those needing extensive data quality solutions.

To learn more, read our detailed Informatica Cloud Data Quality vs. Oracle Data Quality Report (Updated: July 2025).

Buyer's Guide

Informatica Cloud Data Quality vs. Oracle Data Quality

July 2025

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Review summaries and opinions

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

Categories and Ranking

Informatica Cloud Data Quality

Ranking in Data Quality

3rd

Average Rating

8.0

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Oracle Data Quality

Ranking in Data Quality

15th

Average Rating

8.4

Reviews Sentiment

7.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Data Quality category, the mindshare of Informatica Cloud Data Quality is 6.6%, down from 9.0% compared to the previous year. The mindshare of Oracle Data Quality is 1.5%, down from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality

Featured Reviews

Mehmet SukruKaya

Senior Data Analytics Manager at Esan

Improved data quality significantly enhances project efficiency and effectiveness

I am not utilizing the data quality rules management part yet. We had a bad experience before Informatica Cloud Data Quality. We started a data analytics project that took more than three months of wasted time because we couldn't use the data to create the optimization model. If we have an application like Informatica Cloud Data Quality or a data quality platform, we can finish the project in less than three months. This is the on-prem data that we ingested. We don't use any cloud data that we have. For now, we are just using the on-prem data, and we don't have any integration from the data outside of the on-prem. I would recommend it to other users. On a scale of 1-10, I rate this solution a 9.

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Venkatraman Bhat

Deliver Head - Database and Infrastructure Cloud Services at Tech Mahindra Limited

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

"Informatica Cloud Data Quality was most valuable for our real-time data quality monitoring needs."

"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."

"The most valuable feature is the rule specification."

"I was responsible for installing Informatica Cloud Data Quality on Google infrastructure, which was straightforward."

"The quality of the data improves with Informatica Cloud Data Quality."

"Initial setup was fairly easy."

"The reusability factors are nice. The Cloud Data Quality is much better. A major flaw in the previous version was integration with the catalog, which is now seamless."

"We had a bad experience before Informatica Cloud Data Quality, we started a data analytics project that took more than three months of wasted time because we couldn't use the data to create the optimization model."

More Informatica Cloud Data Quality pros

"Once it is set up, it is easy to use and maintain."

"I have found the most valuable features to be data cleansing and deduplication."

"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."

"With Oracle Data Quality, the most valuable feature is entity matching."

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."

"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."

"In certain domains, I am looking for material-level match features that are not customizable. The current solution requires code-writing and tweaking, while other solutions offer material-level matches."

"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."

"I definitely will not recommend Informatica Cloud Data Quality because it's very hard to manage the licensing model and the price is very high."

"Informatica Cloud Data Quality has significant room for improvement. It is not stable, and there are several issues, especially on the cloud side, unlike the on-premise version which was very stable."

"Support response time could be better."

More Informatica Cloud Data Quality cons

"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."

"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."

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."

"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

11%

Computer Software Company

11%

Manufacturing Company

11%

Healthcare Company

No data available

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.

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What needs improvement with Informatica Cloud Data Quality?

I think it would be very useful to have the same features on the data center version available on the cloud version. I remember when I used it, there was some limitation in one of the data quality ...

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What is your primary use case for Informatica Cloud Data Quality?

I worked on a project where we had to use these tools to execute the data quality requirements from assessment perspectives to scorecards and similar tasks. I haven't used any other tools, so I can...

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Comparisons

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Compared 62% of the time

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IBM Infosphere Information Analyzer vs Informatica Cloud Data Quality

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SAP Data Quality Management vs Informatica Cloud Data Quality

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Compared 63% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Oracle Data Quality

Compared 37% of the time

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Product Reports

Buyer's Guide

Informatica Cloud Data Quality

August 2025

Download Informatica Cloud Data Quality product report

Buyer's Guide

Data Quality

July 2025

Download Oracle Data Quality product report

Also Known As

Cloud Data Quality Radar

Datanomic

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.

Informatica

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.

Oracle

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

July 2025

Free Report: Informatica Cloud Data Quality vs. Oracle Data Quality

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