We performed a comparison between Domo and Oracle Analytics Cloud based on real PeerSpot user reviews.
Find out in this report how the two BI (Business Intelligence) Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The data certification feature, where the admin user can put a certified stamp on a data source so that other users can know that that is the correct and accurate data flow or data source to use, is a good feature."
"The fact that you can add any data source is valuable. The entire data handling suite they have, all the apps, etc., is pretty amazing. One of the key things, not being a techie or a data-warehouse guy, is that you can connect data sources, and do all kinds of pretty amazing things."
"The most valuable feature currently is the self-service BI availability in Domo. I would say the data file fabric solutions where the users themselves are responsible for generating their own reports."
"We've worked with all the features of Domo. Among the most important are Pivot and Sumo Cards. We can use drill-down from the top-most level with a click, generating charts."
"In Workbench 5, they have come up with a very useful feature called Upsert. When you're pushing data into the data set, if the data is already available it will update the data, and if that the data is not there it will insert it. That is a beneficial feature that they introduced in the latest version."
"It has the best GUI. And it already has an ETL tool embedded in it..."
"In general, Domo is very powerful and very easy to use, relatively speaking."
"Domo is not a difficult tool to learn. All you need to know is the SQL for the ETL part. You don't need to write much code. That's the great part. It uses legacy languages, like SQL, which is very common among developers who then don't have to go and learn Domo's own syntax. Therefore, you don't have to learn another hard language to use Domo."
"The most valuable features of the solution are dashboarding and data visualization."
"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 best feature may be data flow, which is used to prepare and clean data."
"It plays a crucial role in facilitating decision-making for various organizational stakeholders."
"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 technical support services are good."
"The ability to quickly search for and access relevant data is crucial."
"A valuable feature is the speed of the solution."
"There were very few cases on some of the tables, the data tables, where I wish there was an additional feature or two."
"Domo or any other BI tool has room for improvement, in particular, in the calculations. User-guided material isn't available for calculations. The tool, though user-friendly, could also be more customizable, especially when you're building a dashboard. Data integration could also be improved in Domo because even if the tool connects to multiple data sources, some hiccups still arise and need to be addressed."
"I would like to see more flexibility in their pricing structure. The trend is moving from database pricing to a user-license pricing model. That would be a benefit if they wanted to reevaluate their pricing structure."
"In terms of the analytics, there is quite a limited set of options when using Domo. Whereas with Tableau we can perform heavy statistical computations, Domo doesn't have that capability. Domo is quite limited on that side."
"I would like to see more dashboard creation options."
"If your ETL runs more than 24 hours, it always fails because we are logging a lot of historical data, and there is a restriction on the amount of data (in rows) that you can run. The technical support has not found a solution for this yet."
"The forecasting feature, the regression features, and the Python libraries could all be improved. They're all in beta."
"I would like to see better data intake."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
"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."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"This solution could be more adaptable in its application."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"The scalability has room for improvement."
Domo is ranked 11th in BI (Business Intelligence) Tools with 35 reviews while Oracle Analytics Cloud is ranked 9th in BI (Business Intelligence) Tools with 24 reviews. Domo is rated 7.8, while Oracle Analytics Cloud is rated 8.0. The top reviewer of Domo writes "Robust, powerful, and easy to use". 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". Domo is most compared with Tableau, Microsoft Power BI, Databricks, Looker and Amazon QuickSight, whereas Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Tableau, Microsoft Power BI and Oracle Business Intelligence Cloud Service. See our Domo vs. Oracle Analytics Cloud report.
See our list of best BI (Business Intelligence) Tools vendors and best Data Visualization vendors.
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