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Ataccama ONE Platform vs Informatica Cloud Data Quality vs Oracle Data Quality comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Mindshare comparison

As of October 2025, in the Data Quality category, the mindshare of Ataccama ONE Platform is 6.7%, down from 7.5% compared to the previous year. The mindshare of Informatica Cloud Data Quality is 4.4%, down from 8.7% compared to the previous year. The mindshare of Oracle Data Quality is 2.1%, up from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality Market Share Distribution
ProductMarket Share (%)
Informatica Cloud Data Quality4.4%
Ataccama ONE Platform6.7%
Oracle Data Quality2.1%
Other86.8%
Data Quality
 

Featured Reviews

JohnZacharkan - PeerSpot reviewer
Enhanced data quality with machine learning support in diverse environments
We used Ataccama ONE to read data from the mainframe for a data quality perspective. There's a significant lack in that area with tools being able to interface with mainframe. MetLife has a diverse environment, including DB2, Oracle, SQL Server, legacy, and vSAN files. Being able to work in these various environments and put them to a single data quality tool was very appealing. Additionally, Ataccama supported AI and machine learning, which was one of the features I liked. Furthermore, we were able to interface bidirectionally with Collibra for data governance, catching data quality issues before propagating through the system.
Mehmet SukruKaya - PeerSpot reviewer
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.
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.

Quotes from Members

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

Pros

"The desktop version of the solution was particularly valuable to me, primarily for creating components. We opted for the data quality aspect to assess the quality of our data warehouse. The functionalities available allowed us to not only check data quality but also serve as an ETL tool. This versatility enabled data transformation and storage in various formats, including files on platforms like SharePoint or local online directories. The flexibility of the tool catered to the specific needs of those building components, contributing to our desired outcomes."
"The notable aspect lies in the workflow structure, where building the workflow aligns significantly with data governance."
"The drag-and-drop feature is incredibly flexible and straightforward."
"It is also easy to deploy."
"The data profile itself is excellent. You can understand the quality of the data in layman's terms."
"The ease of use of the user console is valuable."
"The product’s important feature is data profiling and quality check."
"Customer service was excellent, and I would give it a ten out of ten."
"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."
"The quality of the data improves with Informatica Cloud Data Quality."
"An advantage is its seamless integration with other Informatica capabilities, making data quality a deeply embedded part of the solution."
"Informatica Cloud Data Quality was most valuable for our real-time data quality monitoring needs."
"I was responsible for installing Informatica Cloud Data Quality on Google infrastructure, which was straightforward."
"Stability-wise, I rate the solution a ten out of ten."
"Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud."
"Once it is set up, it is easy to use and maintain."
"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."
 

Cons

"Speaking specifically about the version we use, version 12.3, I'm unsure if this has been addressed in subsequent versions. One improvement I'd like to see pertains to the language used in certain components, especially in data quality checks. The language complexity posed a challenge for beginners. Although we had on-site assistance from Ataccama, making it manageable for us, some individuals found it difficult to comprehend, necessitating additional support. The provision of a comprehensive guide for on-premise installation can also be enhanced. The lack of detailed information on the solution's workings and the overwhelming nature of notifications, with extensive content, were areas of concern. Streamlining the notification content in newer versions would significantly expedite issue resolution."
"Although DQA can fetch data from most of the commonly used data sources, it has limited modifiers to get data, meaning that the number of technologies from which the data can be acquired is limited. For example, DQA does not support fetching data from Twitter or Facebook. Many competitors have this feature."
"It is complicated to fetch 20-25 reports when we profile the data."
"There is a notable challenge in having to provide detailed filters before the site recognizes the search criteria."
"Data movement is a pain."
"I believe it would be beneficial if it could enhance its flexibility to connect with a wider range of downstream systems beyond just Excel and Postgres."
"They could focus more on marketing the product. The current marketing strategy is not working."
"The interfacing to tools such as Collibra was somewhat cumbersome and required more thought."
"The integration with older technology and cloud quality needs improvement."
"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."
"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."
"You cannot import the data discovery rules you create in the solution to the Cloud Data Governance and Catalog (CDGC)."
"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."
"The high price of the product is an area of concern where improvements are required."
"Some capabilities from the cloud version are not included in the on-premises version."
"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."
"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."
"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."
 

Pricing and Cost Advice

"There is no need to buy a license. You can just download it and use it for free."
"The product is reasonably priced."
"Despite not being extremely low-cost, the pricing appears reasonable, making it a profitable and viable choice for companies that prioritize data security and adhere to specific policies."
"Our licensing model wasn't user-specific; instead, we paid fees for the engine and maintenance. As we didn't have a support contract, maintenance fees were likely nonexistent. Regarding the upgrade, we had an account for the initial two or three years, and considering the features provided by the solution, the pricing was reasonable."
"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 vendor needs to revisit their pricing strategy."
"The price of this solution is comparable to other similar solutions."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
10%
Computer Software Company
9%
Insurance Company
9%
Financial Services Firm
11%
Manufacturing Company
11%
Computer Software Company
11%
Healthcare Company
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Large Enterprise7
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise2
Large Enterprise9
By reviewers
Company SizeCount
Midsize Enterprise2
Large Enterprise7
 

Questions from the Community

What do you like most about Ataccama ONE Platform?
The notable aspect lies in the workflow structure, where building the workflow aligns significantly with data governa...
What needs improvement with Ataccama ONE Platform?
The interfacing to tools such as Collibra was somewhat cumbersome and required more thought. While it was possible to...
What is your primary use case for Ataccama ONE Platform?
Some of the use cases for Ataccama ONE included data quality, identifying and mapping to Collibra, which was their da...
What do you like most about Informatica Cloud Data Quality?
The profiling features are much better than the on-premise version.
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. ...
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 perspe...
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Also Known As

Ataccama DQ Analyzer
Cloud Data Quality Radar
Datanomic
 

Overview

 

Sample Customers

Société Générale, First Data, Raiffeisenbank International, T-Mobile, Avast, RSA, Toronto Public Library
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,
Find out what your peers are saying about Informatica, SAP, Ataccama and others in Data Quality. Updated: October 2025.
869,089 professionals have used our research since 2012.