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."

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

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

"The solution is customizable."

"I like idea of storing the results of Data Quality jobs in a DB and having the ability to run reports in the DB to show a dashboard of quality metrics."

"The Studio is easy to understand."

"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."

"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."

"Provides a flexible development environment to the coder.​"

"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."

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

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

"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."

"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."

"The ability to change the code when debugging the JavaScript could be improved."

"If the SQL input controls could dynamically determine the schema-based on the SQL alone, it would simplify the steps of having to use a manually created and saved schema for use in the TMap for the Postgres and Redshift components. This would make things even easier."

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

"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."

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

"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 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."

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