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 3.3% mindshare in DQ, compared to Oracle’s 1.9% 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

1,246 Views
866 Comparison Views

90% willing to recommend

Oracle Data Quality

Read 8 Oracle Data Quality reviews

344 Views
168 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: January 2025).

Buyer's Guide

Informatica Cloud Data Quality vs. Oracle Data Quality

January 2025

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Helped 831,265 peers since 2012

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

8.4

Reviews Sentiment

7.7

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 January 2025, in the Data Quality category, the mindshare of Informatica Cloud Data Quality is 3.3%, up from 2.1% compared to the previous year. The mindshare of Oracle Data Quality is 1.9%, down from 2.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality

Featured Reviews

TaherDungrawala

Data & Analytics Practice at Tech Mahindra Limited

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

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

"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 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."

"The profiling features are much better than the on-premise version."

"An advantage is its seamless integration with other Informatica capabilities, making data quality a deeply embedded part of the solution."

"Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud."

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

"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 user-friendliness and performance of Informatica is quite impressive."

More Informatica Cloud Data Quality pros

"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."

"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."

"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."

"You cannot import the data discovery rules you create in the solution to the Cloud Data Governance and Catalog (CDGC)."

"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."

"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."

"Logical views are a little bit behind in comparison to the on-premise version."

"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."

"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."

"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."

"If the length of time required for deployment was reduced then it would be very helpful."

Pricing and Cost Advice

"Informatica Cloud Data Quality is a costly solution."

"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."

"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

16%

Manufacturing Company

10%

Computer Software Company

Logistics Company

Financial Services Firm

33%

Manufacturing Company

Computer Software Company

University

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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Product Reports

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Download Informatica Cloud Data Quality product report

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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

January 2025

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