We performed a comparison between Alteryx and Oracle Analytics Cloud 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."My primary focus is creating numerous data pulls, and Alteryx Server handles the automation well."
"Geo features have made spatial mapping large retail universes possible."
"It allows for manipulation and automation, which has greatly reduced the amount of time required per project."
"The tools are built-in. You just plug and play, drag and drop, once you understand how to use the tools, it is easy."
"It's super easy to learn how to use it — the learning curve is very small."
"Alteryx has a good UI. We use it frequently in our projects. The tool comes with drag-and-drop features and is easy to understand for business needs. One situation where Alteryx's advanced analytics capabilities were particularly beneficial for us was during a forecasting project. Unlike Python, which requires coding, Alteryx simplifies the process significantly. With Alteryx, users can adjust parameters within the user interface without writing any code."
"The feature that I have found most valuable for Alteryx is its geo-referencing feature, it is very good. I use it a lot, especially for supply chain."
"The most valuable feature of this solution is data preparation."
"It plays a crucial role in facilitating decision-making for various organizational stakeholders."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"Oracle Analytics Cloud's most valuable feature is its visualization."
"It's really an enterprise solution. It has a dashboard, like standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution. If you're new to machine learning, it's a really good way to get into it, because it's all within this platform, and it's really easy to use."
"This is a stable and scalable solution."
"The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data. I also like that the solution allows the user to decide what to measure and what to see in the reports."
"The solution can scale."
"The best feature may be data flow, which is used to prepare and clean data."
"What they're struggling with is it's not as mature as Tableau in the user management area. It was tougher to manage the server part of it right away, especially since the user base has grown."
"I think sometimes the solution doesn't load properly or takes so much time for the workflows. Though the workflow runs and completes the file in Excel, if you use the same formula, it's a bit slow. Also, the image processing is not so good because I tried to do some image processing and they were like, sometimes they put two to eight. In the document, it was two, but the OCR predicted it as eight."
"There could be a bit of improvement related to performance. Sometimes it demands a lot of resources for running it, like memory and search."
"I'd like to see more artificial intelligence business tools or features in Alteryx."
"Lacks an open source edition which would be helpful."
"All of the reports are migrated or exported in an Excel file, and most of the time, a business intelligence tool is required. They could have better reporting. The aesthetic could be improved."
"Its most valuable feature lies in its functionality."
"I honestly can't think of anything that needs to be improved."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
"When you implement the product on a small scale, it doesn't generate any ROI."
"They could improve the ease of developing the dashboard and interacting with it."
"This solution could be more adaptable in its application."
"The learning curve should be improved, and I'm uncertain if tutorials are readily available or easily accessible. We may have resorted to looking on YouTube for such information. Having easily understandable documents or guides for new users would be beneficial. AI integration would be an interesting feature to add in the next release."
"It is expensive."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"The price of the solution could be lower."
Alteryx is ranked 1st in Predictive Analytics with 74 reviews while Oracle Analytics Cloud is ranked 8th in BI (Business Intelligence) Tools with 23 reviews. Alteryx is rated 8.4, while Oracle Analytics Cloud is rated 8.0. 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 Oracle Analytics Cloud writes "Reliable, capable of handling massive amounts of data, and good value for money". Alteryx is most compared with KNIME, Databricks, Dataiku Data Science Studio, RapidMiner and Microsoft Power BI, whereas Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Tableau, Microsoft Power BI and Oracle Business Intelligence Cloud Service. See our Alteryx vs. Oracle Analytics Cloud report.
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