We performed a comparison between Alteryx and Google Data Studio based on real PeerSpot user reviews.
Find out in this report how the two Predictive Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The value add of Alteryx is the agility for making changes, and speed of deployment."
"One-stop shop for data preparation, blending, prediction, and optimization in a single workflow."
"It has everything that one needs. Whatever you want to do with the data can be done with Alteryx."
"You get more support with Alteryx, and it's good for non-sophisticated users who can benefit from the support included in the price."
"Alteryx is a simple and easy-to-use solution."
"The most valuable feature of Alteryx is the intelligence suite."
"The initial setup is easy."
"It is one of the most complete and great customer service that I experienced with a software company/ecosystem."
"I am impressed with the tool's scheduling mechanism, refresh mechanism, and different types of charts."
"I find it favorable regarding speed of development, ease of building, and flexibility."
"The ability to design complex data models and equations."
"Data Studio integrates seamlessly with other Google products, and we can use it with other APIs if we like."
"The ability to integrate with a great variety of data sources."
"The solution is free so that is a good feature."
"This has improved our organization by allowing people to see their data and develop visualizations themselves."
"The company dashboard is useful because we could share it via a link as a reminder for everyone to check it weekly. We observed the progress of our portfolio from last week to the current week, allowing us to compare revenues."
"Alteryx's development environment could be improved as it requires installation locally and can't be developed in the cloud."
"Its most valuable feature lies in its functionality."
"Alteryx is just as complicated as coding, in my opinion."
"The data integration component could most likely be improved to increase enterprise scalability."
"The solution could improve in the visualization."
"It is a little bit pricey."
"I think they should really work on integrating or have a capacity to integrate some algorithmic code. I think that's one of the most important things they need to be doing."
"There are no ready models to use in analytics."
"Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful."
"When you physically install a product on one machine instead of the cloud, you have a better visibility, best icon quality, etc.. It's more of an issue with how we are adapting to the transition. We are still in the early moments of using this tool, and we need to go deeper to discover some improvements."
"Other tools might be worth considering if you need more advanced features or support for a larger user base."
"The tool should come up with data modeling layer features that are present in other products like Power BI."
"Stability and scalability an be improved for a full ten."
"It's not yet a replacement for a complete BI tool."
"There are issues with integration and I encountered limits and warnings, especially with my pivot table size."
"There is a significant degree of sophistication required to compete with Tableau or Cognos."
Alteryx is ranked 1st in Predictive Analytics with 74 reviews while Google Data Studio is ranked 14th in Reporting with 8 reviews. Alteryx is rated 8.4, while Google Data Studio is rated 7.6. The top reviewer of Alteryx writes "Feature-rich ETL that condenses a number of functions into one tool". On the other hand, the top reviewer of Google Data Studio writes "The cloud environment makes it easier to use large volumes of data and collaborate with coworkers". Alteryx is most compared with KNIME, Databricks, Dataiku Data Science Studio, RapidMiner and Microsoft Power BI, whereas Google Data Studio is most compared with Amazon QuickSight, Tableau, Looker, Microsoft Power BI and Databricks. See our Alteryx vs. Google Data Studio report.
We monitor all Predictive Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.