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."
"Geo features have made spatial mapping large retail universes possible."
"The support is very good."
"Its initial setup is easy."
"The solution offers excellent predicting power. The accuracy and confidence have been great."
"The Alteryx designer has been the most useful feature in the solution."
"I think the most valuable feature for Alteryx in a health facility is that it permits cleaning, organizing, and merging of databases such as Excel and Access."
"The initial setup is easy."
"The solution is user-friendly."
"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 product is easily customized."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"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."
"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."
"The best feature may be data flow, which is used to prepare and clean data."
"It is a little bit pricey."
"Alteryx's development environment could be improved as it requires installation locally and can't be developed in the cloud."
"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."
"A feature which allows the user to be able to click on an output (in a file browser) and see the creation of the module would be fantastic."
"There are a few imputation techniques which they really need to include."
"We are hoping that the NLP features will also support Chinese characters."
"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."
"The interface could be improved."
"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."
"It's not a failure of the product; it's just an architectural choice. It has to do with data modeling. I'm comparing this to another product, which is Oracle's developer client and probably called Oracle BI Developer Client Tool. The data modeler, which is cloud-based, and Oracle BI Developer Client Tool, which is local or on-premises-based, both can do the same thing in data modeling. However, the cloud tool does not have as many features as the Oracle BI Developer Client Tool, which is closest to the OBIEE Administration Tool with full feature data modeling, metadata development, and so forth. In a complex environment or implementation, that is the capability that you need."
"It is less scalable than Snowflake."
"They could improve the ease of developing the dashboard and interacting with it."
"The scalability has room for improvement."
"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 should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
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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