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."Alteryx speeds up the time to obtain business answers/insights on data."
"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."
"It saves time on a lot projects. "
"There are a lot of good customization capabilities."
"The filtering is fast, and it provides a search tool that is great."
"The drag-and-drop features are useful for data scientists who do not like to code because it is already in the system."
"It has everything that one needs. Whatever you want to do with the data can be done with Alteryx."
"Shortens the time required to start analyzing data and looking for insights, minimizing the tasks that do not add value to the business and maximizing the analysis phase."
"Oracle Analytics Cloud's most valuable feature is its visualization."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"A valuable feature is the speed of the solution."
"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."
"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 features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"The technical support services are good."
"The best feature may be data flow, which is used to prepare and clean data."
"The formula we currently use in Alteryx can be automated."
"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."
"The scalability worries me a lot at the moment because the cost of the solution is high and it is not growing considerably. Unfortunately, we started during early COVID times and because of the economic downturn, all the cost cuttings, and everything, it is not growing as expected."
"The gallery could improve in Alteryx. Additionally, if there was a Conditional Join feature it would be beneficial. Since I do not have this feature I have to use Python scripts."
"There are a few hiccups with specific data sets and languages or formats that the data comes in. That may be a minor problem, but we can work through it. We had some issues looking at XML format in added data, but it wasn't significant."
"There are no ready models to use in analytics."
"More statistics tools: We can use to compare SPSS statistics with some automated advisory."
"I think better visualization would be helpful to this solution."
"The migration of older dash tools from the classic interface of Oracle BI prior to OAS launch to the newer Data Visualization and Oracle Analytics Cloud interfaces, including dashboards and metadata, is currently a cumbersome process. Improvements in this area would be highly beneficial. Additionally, the administration of the cloud, particularly the startup of services and linking of the WebLogic server and integrated components, takes longer than desired. In today's enterprise landscape, waiting forty minutes for the server to be operational is quite lengthy; ideally, this process should take a maximum of four minutes. It would be excellent to incorporate metadata management as an integral part of the Oracle Analytics Cloud. When dealing with integrated data from various sources, tracking data lineage and the entire data life cycle, from sources to report development and the mapping of reports to specific dashboards, should be seamlessly managed within the Oracle Analytics Cloud. This would eliminate the need for additional tools. Drawing a comparison, tools like Tableau have a feature enabling metadata management, making it easier to trace the complete data lineage of reports. Managing over seven hundred and thirty-six business dashboards, the metadata management capability within Tableau simplified the process of understanding how reports were developed, including details like associated tables, users, linked views, materialized views, data segmentations, ETL jobs, and the data warehouse stages. Enhancing metadata tracking within the Oracle Analytics Cloud layout would facilitate easy and practical management of the complete data life cycle, encompassing user accessibility and report permissions."
"The product could benefit from increased flexibility compared to other vendors."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"It is expensive."
"It is less scalable than Snowflake."
"As with most BI tools, the visualizations can be made much nicer. Currently, it has standard visualizations. They've been adding new visualizations, but we see animated visualizations from other vendors. It would be nice to have similar visualizations, such as the swarming visualizations, which are fairly new and very popular at the moment. I haven't seen that with Oracle. That would be nice."
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
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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