Try our new research platform with insights from 80,000+ expert users

Ataccama ONE Platform vs Informatica Cloud Data Quality comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 6, 2025

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

Ataccama ONE Platform
Ranking in Data Quality
5th
Average Rating
8.0
Reviews Sentiment
7.1
Number of Reviews
6
Ranking in other categories
Master Data Management (MDM) Software (4th), Data Governance (11th)
Informatica Cloud Data Quality
Ranking in Data Quality
3rd
Average Rating
8.2
Reviews Sentiment
7.4
Number of Reviews
13
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Data Quality category, the mindshare of Ataccama ONE Platform is 7.6%, up from 2.7% compared to the previous year. The mindshare of Informatica Cloud Data Quality is 9.2%, down from 10.3% 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.
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.

Quotes from Members

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

Pros

"The ease of use of the user console is valuable."
"The drag-and-drop feature is incredibly flexible and straightforward."
"The notable aspect lies in the workflow structure, where building the workflow aligns significantly with data governance."
"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."
"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."
"Stability-wise, I rate the solution a ten out of ten."
"The profiling features are much better than the on-premise version."
"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."
"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."
"Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud."
"The most valuable feature is the rule specification."
 

Cons

"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."
"The interfacing to tools such as Collibra was somewhat cumbersome and required more thought."
"There is a notable challenge in having to provide detailed filters before the site recognizes the search criteria."
"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."
"It is complicated to fetch 20-25 reports when we profile the data."
"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."
"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."
"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."
"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."
"The integration with older technology and cloud quality needs improvement."
"You cannot import the data discovery rules you create in the solution to the Cloud Data Governance and Catalog (CDGC)."
"The high price of the product is an area of concern where improvements are required."
 

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."
"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."
"The product is reasonably priced."
"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."
report
Use our free recommendation engine to learn which Data Quality solutions are best for your needs.
845,040 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
13%
Insurance Company
9%
Manufacturing Company
8%
Financial Services Firm
15%
Manufacturing Company
9%
Computer Software Company
7%
Performing Arts
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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 governance.
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 configure these interfaces, they required some coding. It would be beneficial i...
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 data governance tool. It was critical for them to interface directly with that too...
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?
One of the features that I'm looking at is match capabilities at a material level, which is currently not customizable. I often have to write code and tweak the features. Additionally, the user int...
What is your primary use case for Informatica Cloud Data Quality?
I use Informatica Data Quality for data profiling before starting any migration projects to understand what the data looks like. I also run quality reports on it, with mappings written for differen...
 

Also Known As

No data available
Cloud Data Quality Radar
 

Overview

 

Sample Customers

Société Générale, First Data, Raiffeisenbank International, T-Mobile, Avast, RSA, Toronto Public Library
Freddie Mac, Rabobank
Find out what your peers are saying about Ataccama ONE Platform vs. Informatica Cloud Data Quality and other solutions. Updated: March 2025.
845,040 professionals have used our research since 2012.