We performed a comparison between Ataccama DQ Analyzer and Talend Data Quality based on real PeerSpot user reviews.
Find out in this report how the two Data Scrubbing Software solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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 reduces the QA effort immensely by handling most of the test scenarios in a reusable way."
"The file fetch process is impeccable."
"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."
"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."
"tLogRows are also great for finding bad data."
"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."
"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."
"It has definitely streamlined certain processes."
"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."
"SQL for displaying underlying data in non-match results does not work."
"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."
"There are more functions in a non-streamlined manner, which could be refined to arrive at a better off-the-shelf functions."
"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."
"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."
"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."
"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."
"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."
Earn 20 points
Ataccama DQ Analyzer is ranked 3rd in Data Scrubbing Software while Talend Data Quality is ranked 1st in Data Scrubbing Software with 20 reviews. Ataccama DQ Analyzer is rated 7.8, while Talend Data Quality is rated 8.0. The top reviewer of Ataccama DQ Analyzer writes "Is easy to deploy and is free, but marketing strategies need improvement". On the other hand, the top reviewer of Talend Data Quality writes "Saves a lot of time, good ROI, seamless integration with different databases, and stable". Ataccama DQ Analyzer is most compared with Alteryx and Informatica Address Verification, whereas Talend Data Quality is most compared with Informatica Data Quality, Alteryx, Precisely Trillium and Ataccama ONE Platform. See our Ataccama DQ Analyzer vs. Talend Data Quality report.
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