Ataccama ONE Platform vs Informatica Cloud Data Quality comparison

Ataccama ONE Platform vs. Informatica Cloud Data Quality

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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

Ataccama ONE Platform

Ranking in Data Quality

4th

Average Rating

8.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Scrubbing Software (2nd), Master Data Management (MDM) Software (4th), Data Governance (11th)

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

Mindshare comparison

As of September 2025, in the Data Quality category, the mindshare of Ataccama ONE Platform is 7.0%, up from 7.0% compared to the previous year. The mindshare of Informatica Cloud Data Quality is 4.4%, down from 9.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Market Share Distribution
Product	Market Share (%)
Informatica Cloud Data Quality	4.4%
Ataccama ONE Platform	7.0%
Other	88.6%

Data Quality

Featured Reviews

JohnZacharkan

Senior Architect at SourcEdge

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.

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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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Quotes from Members

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

Pros

"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."

"The data profile itself is excellent. You can understand the quality of the data in layman's terms."

"It is also easy to deploy."

"The ease of use of the user console is valuable."

"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."

"Customer service was excellent, and I would give it a ten out of ten."

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

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

"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."

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

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

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

"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."

More Informatica Cloud Data Quality pros

Cons

"The interfacing to tools such as Collibra was somewhat cumbersome and required more thought."

"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."

"There is a notable challenge in having to provide detailed filters before the site recognizes the search criteria."

"It is complicated to fetch 20-25 reports when we profile the data."

"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."

"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."

"They could focus more on marketing the product. The current marketing strategy is not working."

"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."

"I remember when I used it, there was some limitation in one of the data quality dimensions. I was not able to perform certain tasks on the cloud version, even though I could do them on the data center version."

"Support response time could be better."

"The high price of the product is an area of concern where improvements are required."

"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."

"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."

"If a new solution has the same features and less investment, it would be worth considering."

More Informatica Cloud Data Quality cons

Pricing and Cost Advice

"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."

"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."

"There is no need to buy a license. You can just download it and use it for free."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Manufacturing Company

10%

Computer Software Company

Insurance Company

Computer Software Company

11%

Financial Services Firm

11%

Manufacturing Company

11%

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	2
Large Enterprise	9

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?

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 ...

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...

Microsoft Purview Data Governance vs Ataccama ONE Platform

Comparisons

Compared 18% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Ataccama ONE Platform

Compared 16% of the time

Collibra Governance vs Ataccama ONE Platform

Compared 12% of the time

Talend Data Quality vs Ataccama ONE Platform

Compared 8% of the time

IBM Infosphere Information Analyzer vs Ataccama ONE Platform

Compared 2% of the time

More Ataccama ONE Platform Competitors

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

Compared 65% of the time

Talend Data Quality vs Informatica Cloud Data Quality

Compared 11% of the time

SAP Data Quality Management vs Informatica Cloud Data Quality

Compared 11% of the time

More Informatica Cloud Data Quality Competitors

Product Reports

Ataccama ONE Platform

Download Ataccama ONE Platform product report

Informatica Cloud Data Quality

Download Informatica Cloud Data Quality product report

Also Known As

Ataccama DQ Analyzer

Cloud Data Quality Radar

Overview

Ataccama ONE Platform provides a comprehensive solution for profiling, cleansing, and integrating data with a user-friendly drag-and-drop interface, enhancing data quality and governance.

Ataccama ONE Platform enhances data profiling and cleansing with easy configuration and robust integration, such as with Collibra. Users value its drag-and-drop capabilities, supporting mainframe, AI, and machine learning. The platform improves data security through profiling and masking while offering extensive integration options. Some areas needing improvement include large database handling and batch management. Additional support for social media data sources, better documentation, and clearer language would be beneficial. Enhanced interfaces, particularly with Collibra, and refined notification systems are desired. This platform suits users seeking improvements in data quality, governance classification, and data migration, connecting with sources like Microsoft SQL, Oracle, and Teradata.

What are the key features of Ataccama ONE Platform?

Data Profiling and Cleansing: Enhances data quality with easy configuration.
Flexible Integration: Seamless integration with platforms like Collibra.
Drag-and-Drop Interface: Provides ease in workflow management.
Support for AI and Machine Learning: Offers advanced analytical capabilities.
Data Security: Ensures protection with profiling and masking features.

What benefits and ROI can users expect?

Improved Data Quality: Enhances data accuracy and reliability.
Enhanced Governance: Facilitates better metadata classification and compliance.
Increased Efficiency: Streamlines data integration and transformation processes.
Advanced Analytics: Leverages AI for insightful data analysis.

In industries like finance and healthcare, Ataccama ONE Platform facilitates data quality management and ensures compliance by connecting with data sources such as Microsoft SQL and Oracle. These industries utilize it for data migration tasks, ensuring data integrity through mapping and transformation processes.

Ataccama

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

Sample Customers

Société Générale, First Data, Raiffeisenbank International, T-Mobile, Avast, RSA, Toronto Public Library

Freddie Mac, Rabobank

Ataccama ONE Platform vs. Informatica Cloud Data Quality