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Talend Data Quality pros and cons

Vendor: Talend
4.0 out of 5
Badge Ranked 1
233 followers
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Talend Data Quality Pros review quotes

SP
Mar 5, 2021
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.
WesamHabboub - PeerSpot reviewer
Jan 16, 2024
The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work.
DN
Mar 6, 2018
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.
Learn what your peers think about Talend Data Quality. Get advice and tips from experienced pros sharing their opinions. Updated: August 2024.
814,649 professionals have used our research since 2012.
HU
Aug 30, 2020
The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms.
SK
Sep 29, 2023
It offers advanced features that allow you to create custom patterns and use regular expressions to identify data issues.
JW
Aug 6, 2018
With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects.
SV
Mar 4, 2018
It reduces the QA effort immensely by handling most of the test scenarios in a reusable way.
it_user826299 - PeerSpot reviewer
Feb 25, 2018
The file fetch process is impeccable.
it_user827655 - PeerSpot reviewer
Feb 27, 2018
​It lowers the amount of time in development from weeks to a day.​
it_user848511 - PeerSpot reviewer
Apr 2, 2018
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.
 

Talend Data Quality Cons review quotes

SP
Mar 5, 2021
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.
WesamHabboub - PeerSpot reviewer
Jan 16, 2024
In terms of the solution's technical support, the interactions were satisfactory, but there is room for improvement, especially in managing expectations.
DN
Mar 6, 2018
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.
Learn what your peers think about Talend Data Quality. Get advice and tips from experienced pros sharing their opinions. Updated: August 2024.
814,649 professionals have used our research since 2012.
HU
Aug 30, 2020
I would say that some of the support elements need improvement.
SK
Sep 29, 2023
It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis.
JW
Aug 6, 2018
You can't join more than two tables for analysis.
SV
Mar 4, 2018
There are too many functions which could be streamlined.
it_user826299 - PeerSpot reviewer
Feb 25, 2018
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.
it_user827655 - PeerSpot reviewer
Feb 27, 2018
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.
it_user848511 - PeerSpot reviewer
Apr 2, 2018
Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data.