Alteryx Designer Cloud vs. Informatica Data Prep

For doing ETL and data transformations where your data is already in a cloud environment Alteryx Designer Cloud is ideal. It allows for the continued democratisation of data and analytics to permeate more extensively throughout a business, particularly those that are already in the cloud or have cloud services in place and are comfortable with procurement and consumption of these systems over and above desktop software. The ETL processing for data validation and wrangling uses machine learning to enable highly efficient data manipulation which saves lots of time and this is a distinct advantage over the desktop software. The expansion and integration of other Alteryx cloud services such as ML, Metrics Store and App builder will only strengthen this position

I am working in a medical device company and we require a large amount of data to analyze. Handling large amounts of data using this tool is very easy and the user interface is easy and simple to navigate. Earlier we used to use excel and text files to extract the data but now using this tool we have improved in transforming the data.

Incentivized

• Gives automatic options for code.
• Allows for notes on code.
• Duplicates work and allows for repurposing work.

Incentivized

• Improve the business process outcomes
• Create internal/external operational efficiencies
• Product functionality and performance

Incentivized

• Hadoop source data tables are presented in a flat searchable list but I would rather see them in the native hierarchy.
• Web interface can be flaky. We often need to refresh the page.

Incentivized

• Dependency with other systems like Hadoop as it's data repository.
• Service slow connection sometimes.
• Configuration should be easy.

Incentivized

Our IT group presented Trifacta to me. They picked it out and among the crowd for me. This was way beyond ETL tools, SQL, or any programming language. It's just much faster and because it's sitting on Hadoop you bypass some of the slowdowns typically faced with RDBMS.

Incentivized

To improve the business process outcomes we have purchased this tool. By using this tool data preparation is easy and much [more] flexible and I would suggest [it as] a good option to try. As it is built with powerful AI and supports as large datasets as we can get without any reduction in performance.

Incentivized

• Increased productvity by 5x
• Reduced costs of running and patching desktop and server based software entirely

• Dependency on hadoop cluster as its repository

Incentivized