SAS Data Management vs Talend Data Quality comparison

"This is an established product with powerful data analysis and varied options for user entry points."

"I find the solution to be very stable."

"The technical support is excellent."

"The product offers very good flexibility."

"Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools."

"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."

"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."

"The platform's robust data governance capabilities ensure strong compliance with regulatory standards."

"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."

"The file fetch process is impeccable."

"We are able to get emails from URLs very easily using this function when others fail."

"tLogRows are also great for finding bad data."

"With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects."

"The Studio is easy to understand."

"It has definitely streamlined certain processes.​"

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

"Integration and cloud migration are areas where we see potential for improvement."

"The solution could use better documentation."

"I would like the tool to include the ability to automate the modifications of the integrations."

"We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."

"The pricing of the solution needs to be improved. They need to work to make it more affordable."

"We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive."

"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."

"One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place."

"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."

"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."

"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."

"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."

"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."

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

"SQL for displaying underlying data in non-match results does not work."

"While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."

"The tool is a bit expensive."

"The solution is expensive."

"The licensing model for vCenter is a perpetual license with yearly payments."

"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."

"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."