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 tools are built-in. You just plug and play, drag and drop, once you understand how to use the tools, it is easy."
"Alteryx's connectivity is essential. We like the ability to connect the solution to multiple sources. It's easier than other data modeling and extraction solutions. It's built on a self-service concept, so it's easy for anyone to open the tool and directly import or export data from it."
"You get more support with Alteryx, and it's good for non-sophisticated users who can benefit from the support included in the price."
"The solution has been stable."
"I like the solution's velocity, the speed with which it processes data, and its ease of use."
"The solution has excellent drag and drop functionality. There's no need for coding."
"The most valuable feature of this solution is data preparation."
"Its initial setup is easy."
"It has the best feature for data augmentation."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"A valuable feature is the speed of the solution."
"The most valuable features of the solution are dashboarding and data visualization."
"This is a stable and scalable solution."
"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 solution is user-friendly."
"The ability to quickly search for and access relevant data is crucial."
"Sometimes workflows tend to queue up, and they tend to get canceled for some reason that we don't know sometimes."
"They should work on its pricing."
"Alteryx's development environment could be improved as it requires installation locally and can't be developed in the cloud."
"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 solution is improving continuously. They have, for example, just added automatic insights. If they continue to improve on their overall service offering, that would be ideal."
"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."
"The solution just lacks in terms of data visualization. That is why we use Tableau and Qlik in our organization. They help to pick up the slack. If data visualization was added, Alteryx would be a very good tool, and much more complete."
"The technical support could have a little bit of improvement."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"It is less scalable than Snowflake."
"One area of improvement is associated with more connectors needing to be added such as Microsoft OneDrive, Teradata and a few others. I think the list is limited to the top ones now."
"The product could benefit from increased flexibility compared to other vendors."
"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."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The interfaces could be improved and some in-memory operations could be built in."
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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