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."
"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 is customizable."
"With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects."
"This product speeds up the unit testing and QA for specific test scenarios. As a result, the development output quality can be evaluated and adjusted."
"tLogRows are also great for finding bad data."
"It’s easy to monitor the processes. Every morning I’ll open the Talend Administration Center to check the status of the process. Within seconds I’m able to see which process ran successfully and which have failed and why they failed."
"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."
"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."
"They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling. With Talend DQ, I cannot generate any reports today, so I need an ETL tool. It provides general Excel files, or I have to create some views. If instead of buying a new tool, Talend provides a reporting capability or solution, it would be great. It will reduce the development effort for creating these kinds of reports. We also manage the infrastructure for Talend. From the licensing perspective, for cloud, they only have seat licenses where one person is tied to one license, but for on-premise, they have concurrent licenses. It would be really awesome if they can provide concurrent licenses for the cloud so that if one person is not there, somebody else can use that license. Currently, it is not possible unless a person deactivates his or her license and moves the same seat license to someone else. We are one of the biggest customers in the central zone of the US for Talend, and this is the feedback that we have provided them again and again, but they come back and say that they aren't able to provide concurrent licenses on the cloud. In version 7.3, there is a feature for tokenization and de-tokenization of data. This is the feature that we are looking for. It is useful if somebody wants to see what we have masked and how do we demask it. This feature is not there in version 7.1. There are also a few other capabilities on the cloud, but we don't yet have a big footprint in the cloud."
"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."
"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."
"In terms of the solution's technical support, the interactions were satisfactory, but there is room for improvement, especially in managing expectations."
"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."
"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."
"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."
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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