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 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 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."
"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."
"We find the ease of using the solution valuable."
"With ETL transformations in SQL lists, you often write a lot of queries. You have to build a bunch of code for the data. With Domo, one of the pieces we have is Magic ETL. In Magic ETL, you don't need to write code. You don't need to be a specialist in SQL or any database query language."
"The user interface is quite good."
"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."
"One feature which I have found to be very interesting is the Beast manager, where you can create calculated fields. They are shared in one common repository so someone else can use the same calculated fields; they don't have to rewrite or reinvent the APIs."
"The solution can scale."
"The technical support services are good."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"It's robust. It has the ability to handle massive amounts. After reporting has been developed, there is an ease of use or a user-friendly interface for a trained workforce."
"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."
"This is a stable and scalable solution."
"The advanced calculations by the tool are highly effective"
"It's great for consolidation and creating one source of truth."
"I would also like to see improvements to their drag and drop Magic ETL tool. You can drag and drop your ETL tool, but it doesn't really work for a large amount of data. It struggles with that. In a real-world application, where you're working with 30 million rows or 100 million rows, it takes a bit longer to process the data. If you do it in the Redshift ETL tool, using your own code, it's much faster."
"It is expensive."
"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 publish a dashboard for the employees so that they can also see the performance of our organization. But that is not a feature in Domo, although it's something that Zoho provided."
"I would like to see better data intake."
"I would like to see more dashboard creation options."
"The preconfigured apps need to be more relevant to allow one, out of the box, to load data in order to use pre-set reports/views."
"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 solution could be more flexible."
"The price of the solution could be lower."
"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."
"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 should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"The implementation of generative AI and machine learning should improve"
"Its FAW feature has limitations in terms of usage."
"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."
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 25 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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