Talend Data Quality

What differentiates Talend Data Quality from other similar products?

Talend Data Quality is an emerging tool in the market that is expanding all around the world due to its functionalities. Everything in the platform is easy to use and its drag-and-drop option saves our manual hours. Some more things that are more differentiable are cloud monitoring, usability, and database administration.

What is your favorite aspect of this product?

Talend saved our time because for me. It's not necessary to sit at a certain place and test files; everything in the to is automated like self-service, allowing users to generate the data and process it to finish the testing with a few clicks. This increases faith in the caliber of the deployment that takes place in production. As well, the outages have decreased.

What do you dislike most about this product?

I'm facing different issues while using Talend but what I want to say to add in upcoming releases it's speed. Although establishing a connection to the database is really difficult it should be easy. They are incapable of using AI. Talend DQ, which only provides data profiling, is intended for data quality. I need an ETL solution because I can't currently generate any reports with Talend DQ.

What recommendations would you give to someone considering this product?

Due to the fact that it not only offers a wide range of ready-to-use operations but also permits the use of complicated JavaScript inside the framework, it gives programmers a wide range of flexibility. I will recommend others to consider it before using any tool you can get what you want for your work.

What differentiates Talend Data Quality from other similar products?

Its drag-and-drop feature is unique: we can easily and easily drag and drop objects to make changes rather than writing a bunch of Java code or SQL queries. Everything is extremely easy and appealing. I can quickly see where the work is falling short. Therefore, I only need to rapidly ascertain the cause of the issue before resolving it.

What is your favorite aspect of this product?

I adore its quality check features, such as schema matching with the source and sink, which are what we enjoyed the most. When the pipeline runs end to end, it helps to expedite the resolution of data issues. All of its features are really helpful for me like complete cloud monitoring, constructing and managing ETL/ELT pipelines, and overall platform usability.

What do you dislike most about this product?

Everything is perfect in Talend but one and most problematic thing about it is it requires more memory to use the tool and second its price is higher which can't be afforded by every organization. Although the speed of the tool is also slow.

What recommendations would you give to someone considering this product?

I would recommend it to you due to its seamlessly integrated with several databases. It features components that make it simple to interact with many on-premises or cloud-based databases. Our coders like it since the coding is simple to use.

What differentiates Talend Data Quality from other similar products?

Its provides a self service interface for technical as well as business users.

What is your favorite aspect of this product?

Talend data quality. Profiles, cleans and masks data in real time. The machine learning algo helps in providing frequent insights for data

What do you dislike most about this product?

Few of the complex quality check like matching using the wild card or regular expression is difficult when compared to other tools available in the market like SAS data quality.

What recommendations would you give to someone considering this product?

The best part which we liked about talend is the quality check features like schema matching with the source and sink. It helped to fast track the issues with data when the pipeline runs end to end.