Ataccama DQ Analyzer vs Talend Data Quality comparison

"It is also easy to deploy."

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

"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 jobs are visual and this has improved collaboration between colleagues. It’s much easier to understand a visual job than a piece of Java code."

"The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."

"​It lowers the amount of time in development from weeks to a day.​"

"The solution is customizable."

"The Studio is easy to understand."

"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."

"The solution enables robust data matching, merging, survivorship, and Data Stewardship that can be a part of data quality workflows or true master data management."

"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."

"In redundancy analysis, the query is failing to bring non-matched records. This query is an internal script. There is no way (that I know of) to fix this syntax error for future runs."

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

"There are too many functions which could be streamlined."

"When we upgraded to Version 6.4.1, we tried using a GIT repository instead of a SVN repository. After a few incidents where things disappeared and changes were not saved, we decided to go back to a SVN repository."

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

"Finding assistance with issues can be spotty. With Python, there are literally millions of open source answers which are recent and apply to the version that we are using."

"You can't join more than two tables for analysis."

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

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

"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."

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

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

"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."