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."Using the "cards" which function as preconfigured reports or views. I use many of them simultaneously on an organized page, with filters that allow me to see high-level information as well as subsets across the dataset, in a few clicks. Many Excel-challenged users love to use this product for its simplicity."
"We have found securing data valuable because it allows us to provide information without identifying individuals."
"It has the best GUI. And it already has an ETL tool embedded in it..."
"Domo has a lot of connections using APIs where you can use data from different databases, such as NoSQLs, SQL databases, and other connections. These connections exist to obtain data and transform whatever that you want."
"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 best feature of Domo is that it's completely on the cloud. I also like that you can handle data end-to-end without having to depend on multiple tools. Another specific feature I like the most about Domo is Magic ETL because, through it, you can do all your expression, transformation, and loading activities very smoothly. The tool also follows the lineage concept, so you can understand what kind of transformations took place on a particular data set. You can find end-to-end data from the source until it has become the final output or the final data set. Whatever happened to a particular data set, you can understand it through the Domo lineage, and that isn't possible in most of the tools available in the market, but in Domo, that's available. The tool is also solid and because it's on the cloud, it uses multiple data engineering in the backend and multiple algorithms in the back, behind the scenes, resulting in a great performance. For example, if an end user such as the CEO or COO opens a report or the dashboard and it takes more than ten seconds, the end user won't be interested in looking at that report or dashboard, but Domo enables better performance and there's usually no performance issues from that tool."
"The dashboard is the most valuable feature and allows for customization to create and share reports."
"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."
"It plays a crucial role in facilitating decision-making for various organizational stakeholders."
"The solution is user-friendly."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"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."
"A valuable feature is the speed of the solution."
"This is a stable and scalable solution."
"The best feature may be data flow, which is used to prepare and clean data."
"It's great for consolidation and creating one source of truth."
"There's a learning curve before you can get used to the solution."
"Their STK is not up to date and you can't access it on their website. They have a private STK to access resources in Domo."
"The ETL way of storing is not up to mark. You have to rely on the naming convention that you're using in Domo because there are no folder systems where you can collate all your workflows and put them into separate folders. A folder system should be there so you can easily identify how you are working. Once you want to make some changes to your ETL, then you can see the whole lineage, identifying what is there and not there."
"I would like to be able to drill down more when there is a particular area where there is a problem. I don't clearly see that in Domo at the moment."
"In Tableau, you can create virtually any kind of visualization. Based on your creativity, you can create a visualization on a human body structure, you can create a visualization on anything that you want. But Domo is limited to a few kinds of visualization views: standard things like bar, pie, and some other charts... I would like to see them add new views for presenting the data in the visualization space."
"There were very few cases on some of the tables, the data tables, where I wish there was an additional feature or two."
"If Domo had a Copilot feature, you could interact with the graphs and talk to the graphs and tables."
"They should include service-based reporting features."
"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."
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
"The price of the solution could be lower."
"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."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"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 is expensive."
"The product should improve its user interface. It should be welcoming and modern. Developers should also find it easier to build data models. Oracle Analytics Cloud needs to have better visualizations and more options in the marketplace."
Domo is ranked 10th in BI (Business Intelligence) Tools with 35 reviews while Oracle Analytics Cloud is ranked 8th in BI (Business Intelligence) Tools with 23 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 Infor dEPM, 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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