SAS Data Integration Studio

What differentiates SAS Data Integration Studio from other similar products?

the graphical interface and the validation in the background that monitors your scripting

What is your favorite aspect of this product?

Mapping data makes it easy and great due to the clear lines between input and output screens.

What do you dislike most about this product?

The transformation can take a longer time than using Python scripts but that might be caused by limiting hardware.

What recommendations would you give to someone considering this product?

BY using a commercial software package you are locking yourself into a eco system. But you get in return a reliable off the shelf solution. Less online support an examples for scripting then Python or other open source languages. Implementing new exciting technologies is more difficult when you have to stay within an eco system. The balance between innovation and reliability is more on the reliability side with sas di studio.

What differentiates SAS Data Integration Studio from other similar products?

It's heavily integrated into the Dutch Government's systems. It's old compared with other similar products, and it's expensive, but it does the job.

What is your favorite aspect of this product?

The simple drag and drop system of blocks. I'm a coder myself but the chances of making mistakes are not that high using SAS DI.

What do you dislike most about this product?

The price of the license and the lack of support are the reasons it's not that often used in companies anymore.

What recommendations would you give to someone considering this product?

If you're new to SAS and your organization doesn't use it yet, you should probably look into other alternatives. It's hard to find experts with experience in SAS DI, and they are expensive. Also, there is less demand, so if you choose another tool from a hiring perspective, you would have a bigger pool of candidates.

What differentiates SAS Data Integration Studio from other similar products?

SAS Data Integration Studio stands out for its seamless integration into the SAS ecosystem, enabling end-to-end data management and analytics workflows. It incorporates advanced analytics models developed using SAS solutions, empowering users with valuable insights. Emphasizing data governance and quality, it offers robust features for metadata management, data profiling, and cleansing, ensuring reliability and accuracy. The platform efficiently handles complex tasks and large data volumes while offering extensive customization and extensibility. With features tailored to meet the needs of organizations tackling complex data integration.

What is your favorite aspect of this product?

My favorite aspect of SAS Data Integration Studio is its seamless integration with the broader SAS ecosystem. This integration allows for end-to-end data management and analytics workflows, providing a comprehensive solution for organizations. I appreciate how easily it incorporates advanced analytics models developed using SAS solutions, empowering users to derive valuable insights from their data integration processes. Additionally, I find the platform's emphasis on data governance and quality to be particularly impressive, with robust features for metadata management, data profiling, and cleansing ensuring the reliability and accuracy.

What do you dislike most about this product?

While SAS Data Integration Studio offers a robust set of features and capabilities, one aspect that could be improved is its learning curve for new users. The platform has a steep initial learning curve, which may require significant time and effort for users to become proficient in using all its functionalities effectively. Additionally, the complexity of certain features can be overwhelming for users who are not familiar with data integration concepts or the SAS environment.

What recommendations would you give to someone considering this product?

When considering SAS Data Integration Studio, it's crucial to thoroughly evaluate your organization's data integration requirements, existing infrastructure, and long-term goals. Invest in training and education for your team to ensure they can effectively utilize the platform's robust features. Start with smaller projects to familiarize yourself with the platform before tackling larger integration tasks, and leverage vendor support for implementation, troubleshooting, and ongoing maintenance. Additionally, consider the total cost of ownership, including licensing fees, implementation costs, training expenses, and ongoing support, .