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Ataccama ONE Platform vs IBM Infosphere Information Analyzer vs Informatica Cloud 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 July 2025, in the Data Quality category, the mindshare of Ataccama ONE Platform is 8.3%, up from 3.1% compared to the previous year. The mindshare of IBM Infosphere Information Analyzer is 2.6%, up from 1.9% compared to the previous year. The mindshare of Informatica Cloud Data Quality is 7.6%, down from 9.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
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.
Tirthankar Roy Chowdhury - PeerSpot reviewer
Accessible from anywhere and easy to learn even for non-technical users, but needs more connectors and faster issue resolution from technical support
What could be improved or added to IBM Infosphere Information Analyzer is more connectors. This solution comes in a package with IBM InfoSphere DataStage and is missing a lot of connectors to various, new data sources, so IBM needs to work on that area. Compared with competitors such as Informatica and Alation which acquired other small companies to work on the connectors, IBM has not done any testing and has tried to develop the connectors in-house, but that's taking a lot of time. As a result, my company is unable to connect to a lot of data sources, particularly modern data sources.
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.

Quotes from Members

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

Pros

"The notable aspect lies in the workflow structure, where building the workflow aligns significantly with data governance."
"The ease of use of the user console is valuable."
"Customer service was excellent, and I would give it a ten out of ten."
"The drag-and-drop feature is incredibly flexible and straightforward."
"The product’s important feature is data profiling and quality check."
"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."
"What's most useful in IBM Infosphere Information Analyzer is you can access it from anywhere. It's also pretty easy to learn, so even non-technical business people use it and found the solution easy to learn."
"You can also schedule and run data quality on the critical data elements on the databases."
"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."
"I would definitely recommend Informatica Data Quality to others."
"Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud."
"Stability-wise, I rate the solution a ten out of ten."
"The most valuable feature is the rule specification."
"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 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."
 

Cons

"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."
"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."
"Data movement is a pain."
"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."
"The interfacing to tools such as Collibra was somewhat cumbersome and required more thought."
"The solution is outdated and is not on cloud."
"What could be improved or added to IBM Infosphere Information Analyzer is more connectors. This solution comes in a package with IBM InfoSphere DataStage and is missing a lot of connectors to various, new data sources, so IBM needs to work on that area. Compared with competitors such as Informatica and Alation which acquired other small companies to work on the connectors, IBM has not done any testing and has tried to develop the connectors in-house, but that's taking a lot of time. As a result, my company is unable to connect to a lot of data sources, particularly modern data sources."
"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."
"Improving the UI to be more business user-friendly would also be beneficial."
"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."
"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."
"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 a new solution has the same features and less investment, it would be worth considering."
"You cannot import the data discovery rules you create in the solution to the Cloud Data Governance and Catalog (CDGC)."
 

Pricing and Cost Advice

"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."
"The product is reasonably priced."
"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."
"For the licensing cost of IBM Infosphere Information Analyzer, I have no information on the exact cost, but as it's bundled with other IBM products such as IBM InfoSphere Information Governance Catalog and IBM InfoSphere DataStage, the bundle is expensive when compared to competitor pricing."
"Informatica Cloud Data Quality is a costly solution."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
11%
Manufacturing Company
9%
Insurance Company
8%
No data available
Financial Services Firm
12%
Computer Software Company
11%
Manufacturing Company
10%
Educational Organization
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

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...
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Earn 20 points
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?
The downside of Informatica Cloud Data Quality is that it requires a developer to write rules and maintain the system...
What is your primary use case for Informatica Cloud Data Quality?
The main use case we had with Informatica Cloud Data Quality was real-time data quality monitoring. When customer inf...
 

Also Known As

No data available
Information Analyzer
Cloud Data Quality Radar
 

Overview

 

Sample Customers

Société Générale, First Data, Raiffeisenbank International, T-Mobile, Avast, RSA, Toronto Public Library
Integra LifeSciences, Longjiang Bank Corp., Webster University, Swedish Armed Forces, Edith Cowan University, Premier, PRISA Digital, TIAA CREF
Freddie Mac, Rabobank
Find out what your peers are saying about Informatica, SAP, Ataccama and others in Data Quality. Updated: June 2025.
863,429 professionals have used our research since 2012.