Ataccama ONE Platform vs Talend Data Quality comparison

Ataccama and Talend are both solutions in the Data Quality category. Ataccama is ranked #4 with an average rating of 8.0, while Talend is ranked #5 with an average rating of 8.0. Ataccama holds a 5.6% mindshare in DQ, compared to Talend’s 4.6% mindshare. Additionally, 100% of Ataccama users are willing to recommend the solution, compared to 90% of Talend users who would recommend it.

Ataccama ONE Platform

Read 10 Ataccama ONE Platform reviews

2,557 Views
997 Comparison Views

100% willing to recommend

Talend Data Quality

Read 21 Talend Data Quality reviews

1,324 Views
1,019 Comparison Views

90% willing to recommend

Ataccama ONE Platform

Talend Data Quality

Comparison Buyer's Guide

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Executive SummaryUpdated on Aug 13, 2025

Talend Data Quality and Ataccama ONE Platform are notable contenders in the data management market. Talend Data Quality appears to have an edge in pricing and customer support, while Ataccama ONE is preferred for its extensive features.

Features: Talend Data Quality is appreciated for its comprehensive data profiling, validation, and enrichment capabilities, integrating seamlessly with other Talend tools. Meanwhile, Ataccama ONE Platform is recognized for its AI-driven tools, excellent automation, and advanced analytics.

Room for Improvement: Talend Data Quality could benefit from enhanced automation options, a more intuitive interface, and expanded native integrations. Ataccama ONE Platform may improve by reducing deployment complexity, providing more straightforward configuration options, and enhancing user interface intuitiveness.

Ease of Deployment and Customer Service: Talend Data Quality is commended for its easy deployment and responsive customer service, facilitating quick implementation. Ataccama ONE, while sophisticated in deployment, offers strong support but may require more setup time initially.

Pricing and ROI: Talend Data Quality is attractive for its competitive pricing and strong ROI. Ataccama ONE, though with higher initial costs, justifies these with its robust features and long-term benefits, making it an investment for enterprises needing comprehensive data management.

To learn more, read our detailed Ataccama ONE Platform vs. Talend Data Quality Report (Updated: September 2025).

Buyer's Guide

Ataccama ONE Platform vs. Talend Data Quality

September 2025

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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

Ranking in Data Scrubbing Software

3rd

Average Rating

8.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

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

Talend Data Quality

Ranking in Data Quality

5th

Ranking in Data Scrubbing Software

4th

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2025, in the Data Quality category, the mindshare of Ataccama ONE Platform is 5.6%, down from 7.9% compared to the previous year. The mindshare of Talend Data Quality is 4.6%, down from 5.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Market Share Distribution
Product	Market Share (%)
Ataccama ONE Platform	5.6%
Talend Data Quality	4.6%
Other	89.8%

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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Karthik Babu

Senior Consultant at a tech services company with 201-500 employees

Have consistently ensured data accuracy and validation with built-in algorithms

I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not well-versed with the latest technology, so I cannot suggest additional functions that could make the product better or simplify my work with it. Generally, whatever jobs we have written in Talend Data Quality are working fine, so I am satisfied with that.

Read full review

Quotes from Members

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

Pros

"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 notable aspect lies in the workflow structure, where building the workflow aligns significantly with data governance."

"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."

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

"The product’s important feature is data profiling and quality check."

"The drag-and-drop feature is incredibly flexible and straightforward."

"We have used value frequency and patterns. We have been it impressed with these functions as they have helped us in making decisions in transformation work."

"With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects."

"Some of the algorithms that are inbuilt in Talend Data Quality, such as Levenshtein, are the most valuable functions for us."

"I really like the fact that there are no out-of-the-box solutions regarding the development of jobs. Other vendors may have modules which cleanse your addresses. In Talend, you have the freedom to completely develop the process yourself. This can be tricky, but it also makes it fun."

"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."

"It is saving a lot of time. Today, we can mask around a hundred million records in 10 minutes. Masking is one of the key pieces that is used heavily by the business and IT folks. Normally in the software development life cycle, before you project anything into the production environment, you have to test it in the test environment to make sure that when the data goes into production, it works, but these are all production files. For example, we acquired a new company or a new state for which we're going to do the entire back office, which is related to claims processing, payments, and member enrollment every year. If you get the production data and process it again, it becomes a compliance issue. Therefore, for any migrations that are happening, we have developed a new capability called pattern masking. This feature looks at those files, masks that information, and processes it through the system. With this, there is no PHI and PII element, and there is data integrity across different systems. It has seamless integration with different databases. It has components using which you can easily integrate with different databases on the cloud or on-premise. It is a drag and drop kind of tool. Instead of writing a lot of Java code or SQL queries, you can just drag and drop things. It is all very pictorial. It easily tells you where the job is failing. So, you can just go quickly and figure out why it is happening and then fix it."

"The file fetch process is impeccable."

"The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work."

More Talend Data Quality pros

Cons

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

"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."

"Data movement is a pain."

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

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

"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."

"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."

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

"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."

"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."

"I would say that some of the support elements need improvement."

"If we encounter issues, it’s most likely when using the Talend Open Studio. The studio can be slow, get stuck, or crash. But again, it can be caused by the resources of your machine or your connection with the repository. If we encounter issues with the Studio we restart the Studio. In emergencies, we create and use a new workspace."

"SQL for displaying underlying data in non-match results does not work."

"The stability for Talend Data Quality can be rated around an 8; it is quite stable."

"NullPointerExceptions are going to be the death of me and are a big reason for our transition away from Talend. One day, it is fine with a 1000 blank rows, then the next day, it will find one blank cell and it breaks down."

"In terms of the solution's technical support, the interactions were satisfactory, but there is room for improvement, especially in managing expectations."

More Talend Data Quality cons

Pricing and Cost Advice

"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."

"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."

"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."

"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."

"It's a subscription-based platform, we renew it every year."

"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."

"It is cheaper than Informatica. Talend Data Quality costs somewhere between $10,000 to $12,000 per year for a seat license. It would cost around $20,000 per year for a concurrent license. It is the same for the whole big data solution, which comes with Talend DI, Talend DQ, and TDM."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Manufacturing Company

10%

Computer Software Company

Insurance Company

Computer Software Company

11%

Manufacturing Company

Financial Services Firm

Comms Service Provider

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	9
Midsize Enterprise	4
Large Enterprise	4

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.

See all answers

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...

See all answers

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...

See all answers

What do you like most about Talend Data Quality?

The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work.

See all answers

What needs improvement with Talend Data Quality?

Talend suite might have a missing product, particularly in the commercial master aspect. This would contribute to completing the overall picture, though the focus isn't necessarily on economic cons...

See all answers

What is your primary use case for Talend Data Quality?

We recently deployed it for one of our clients, who use it to enhance the quality of their government-related customer data. The primary focus is on ensuring compliance with government policies, an...

See all answers

Comparisons

Microsoft Purview Data Governance vs Ataccama ONE Platform

Compared 16% of the time

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

Compared 15% of the time

Collibra Governance vs Ataccama ONE Platform

Compared 12% of the time

Profisee vs Ataccama ONE Platform

Compared 5% of the time

SAP Master Data Governance vs Ataccama ONE Platform

Compared 4% of the time

More Ataccama ONE Platform Competitors

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

Compared 17% of the time

ibi Data Quality vs Talend Data Quality

Compared 11% of the time

Informatica Cloud Data Quality vs Talend Data Quality

Compared 10% of the time

DQ Global Data Quality vs Talend Data Quality

Compared 9% of the time

Precisely Trillium vs Talend Data Quality

Compared 7% of the time

More Talend Data Quality Competitors

Product Reports

Buyer's Guide

Ataccama ONE Platform

October 2025

Download Ataccama ONE Platform product report

Buyer's Guide

Talend Data Quality

October 2025

Download Talend Data Quality product report

Also Known As

Ataccama DQ Analyzer

No data available

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

The data quality tools in Talend Open Studio for Data Quality enable you to quickly take the first big step towards better data quality for your organization: getting a clear picture of your current data quality. Without having to write any code, you can perform data quality analysis tasks ranging from simple statistical profiling, to analysis of text fields and numeric fields, to validation against standard patterns (email address syntax, credit card number formats) or custom patterns of your own creation.

Talend

Sample Customers

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

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Buyer's Guide

Ataccama ONE Platform vs. Talend Data Quality

September 2025

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