Posidex Technologies Data Quality vs. Talend Data Quality

As of May 2019, Posidex Technologies Data Quality is ranked 6th in Data Scrubbing Software with 1 review vs Talend Data Quality which is ranked 2nd in Data Scrubbing Software with 9 reviews. The top reviewer of Posidex Technologies Data Quality writes "The data cleansing and standardization it offers has helped us in our credit decisions for underwriters". The top reviewer of Talend Data Quality writes "Visual jobs are easier to understand than a piece of Java code and improve collaboration between colleagues". Posidex Technologies Data Quality is most compared with Ixsight Data Quality. Talend Data Quality is most compared with Alteryx, Ataccama DQ Analyzer and Melissa Data Quality.
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Most Helpful Review
Find out what your peers are saying about Melissa Data Quality vs. Talend Data Quality and other solutions. Updated: May 2019.
341,120 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
The data cleansing and standardization it offers, and near real-time response, has helped us in our credit decisions for underwriters, thereby getting the right customer onboarded.

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With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects.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 Studio is easy to understand.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’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.The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently.I really like the fact that there are no out-of-the-box solutions regarding the development of jobs. Other vendors may have modules which cleanse your addresses. In Talend, you have the freedom to completely develop the process yourself. This can be tricky, but it also makes it fun.

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Cons
Having the solution in big data technologies is something Posidex is working on.

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You can't join more than two tables for analysis.SQL for displaying underlying data in non-match results does not work.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.Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data.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.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.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.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.

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Pricing and Cost Advice
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We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced.I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license.

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Ranking
6th
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389
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87
Reviews
1
Average Words per Review
184
Avg. Rating
9.0
2nd
Views
5,272
Comparisons
1,335
Reviews
9
Average Words per Review
292
Avg. Rating
8.1
Top Comparisons
Compared 41% of the time.
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Posidex Technologies
Talend
Overview

The system offers real time data analysis and the quality of the data that is being used for processing. Also, the system will provide the necessary statistics for data availability which will help the management in streamlining the data entry processes. Because of the improvements that can be proposed because of this system analysis fraudulent customers can be reduced, saving time in terms of delivery, easy access to communicate to the stakeholders, helps in up-selling and cross selling of products, etc.

The system offers to analyze the matching rules that are currently implemented and can be modified based on the analysis to improve the precision and recall of the matched records. The system also offers insights on customer segmentation which will influence the decisions based on risk, net exposure, cross-sell and up-sell products, etc.

The system helps in multiple areas of the decision making by providing the information that is rich graphically helping the users to visualize, easy of exporting, easy to share the results, consolidation of information from multiple data sources, simplifying the analysis and more.

The data quality tools in Talend Open Studio for Data Quality enable you to quickly take the first big step towards better data quality for your organization: getting a clear picture of your current data quality. Without having to write any code, you can perform data quality analysis tasks ranging from simple statistical profiling, to analysis of text fields and numeric fields, to validation against standard patterns (email address syntax, credit card number formats) or custom patterns of your own creation.
Offer
Learn more about Posidex Technologies Data Quality
Learn more about Talend Data Quality
Sample Customers
ICICI Bank, HDFC Bank, Reliance Capital, Tata Motor Finance Ltd, ICICI Prudential Life Insurance Company, Bharti Airtel Limited, Idea Cellular, Credit Information BureauAliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Melissa Data Quality vs. Talend Data Quality and other solutions. Updated: May 2019.
341,120 professionals have used our research since 2012.
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