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."The GUI is simple and it integrates with Python."
"The most valuable feature is user-friendliness, as Alteryx can be used by those without any coding experience or experienced data scientists as it has the functionality to embed R and Python scripts."
"Its initial setup is easy."
"The analytics are easy."
"The modeling features are very good."
"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."
"Alteryx makes it easy for the end customer to see clean data in a structured form."
"Alteryx helps me do a lot of automation. The best thing about Alteryx is that you don't have to repeat the workflow over and over again. Unlike Excel, where you need to write formulas for each new file, Alteryx follows a consistent process. You can schedule and automate the workflow, even if the files change."
"It's valuable feature is that it is user-friendly and doesn't require much time for understanding. The solution is stable. The initial setup was straightforward."
"The solution is user-friendly."
"It's great for consolidation and creating one source of truth."
"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."
"It's robust. It has the ability to handle massive amounts. After reporting has been developed, there is an ease of use or a user-friendly interface for a trained workforce."
"The technical support is excellent, and they respond quickly."
"I've discovered that the new layout of this product makes Docker sharing, machine learning support, and data backups more efficient. Unlike the older method of linking physical, pre-logical, and presentation layers separately, the new interface simplifies this process. Additionally, the integration of databases and machine learning is seamless, with the new visualization approach being particularly beautiful and highly beneficial."
"It plays a crucial role in facilitating decision-making for various organizational stakeholders."
"There have been some issues with licensing, particularly with the increased prices. This has led some companies, including ours, to consider reducing the number of licenses or potentially discontinuing their use of Alteryx."
"There are no ready models to use in analytics."
"I honestly can't think of anything that needs to be improved."
"It's a technical product and those that don't have proper training will have to deal with a steep learning curve."
"Mastering Alteryx, a comprehensive solution, takes time. However, once you have gained proficiency with its layout and how to drag, drop, and connect components, it becomes remarkably easy, yet still thorough."
"The only weakness I would say is on the visualization side of having that dynamic incapability."
"The formula we currently use in Alteryx can be automated."
"The screen when you are looking into your workflows and your ETL processes needs to be improved. You cannot manage it very well."
"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."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
"They could improve the ease of developing the dashboard and interacting with it."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"The interfaces could be improved and some in-memory operations could be built in."
"It is expensive."
"The solution could be more flexible."
Alteryx is ranked 1st in Predictive Analytics with 74 reviews while Oracle Analytics Cloud is ranked 9th in BI (Business Intelligence) Tools with 24 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, 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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