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Domo vs Oracle Analytics Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 1, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Domo
Ranking in BI (Business Intelligence) Tools
11th
Ranking in Data Visualization
7th
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
36
Ranking in other categories
Data Integration (30th), Business Performance Management (13th), Reporting (8th)
Oracle Analytics Cloud
Ranking in BI (Business Intelligence) Tools
9th
Ranking in Data Visualization
6th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
25
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2025, in the BI (Business Intelligence) Tools category, the mindshare of Domo is 7.8%, up from 4.5% compared to the previous year. The mindshare of Oracle Analytics Cloud is 2.5%, down from 3.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
BI (Business Intelligence) Tools
 

Featured Reviews

James John Wilson - PeerSpot reviewer
Robust, powerful, and easy to use
There were very few cases on some of the tables, the data tables, where I wish there was an additional feature or two. However, they were particular. What I wanted to see was the ability to collapse when you group a set of rows, let's say when you group them by status or health, so you have your red projects grouped up top. I wanted to compress or collapse that group of red and then open the yellow projects and then the green projects. There were a bit more features in the tables than I wanted to see. They have a widget that you can use either in Microsoft PowerPoint to pull over data into your PowerPoints and refresh graphs or charts or metrics or tables. I would love to see that available in Google Slides. I used it successfully in PowerPoint; however, at one company, they were only using Google products, and so that widget didn't help with reporting in slides. Therefore, we had to do a bit more manual work for our quarterly business reviews or monthly business reviews to produce our executive presentations. Sometimes the fonts were difficult to read if you're trying to put a lot of data in a table and show a lot of rows. Sometimes the fonts got too light, and you had to really play with it to try and figure out how to make it readable. One thing I had to do, and I don't know if it's necessarily a bad thing, was when I was running a meeting, I would have to go turn off the data jobs. If I was running a meeting and a lot of times people were scrambling in the background to do their updates even as the meeting was occurring, it would cause the page to render very slowly. It would sometimes pause or freeze. I found that if I went and turned off the status, the data update jobs that we're pulling data from Smartsheet, then the meetings would work more smoothly, and there were no interruptions or delays.
Hafiz Abdul Mannan - PeerSpot reviewer
Empowers your entire organization to ask any question of any data—across any environment, on any device
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.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"In general, Domo is very powerful and very easy to use, relatively speaking."
"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 pipeline features and data ingestions in Domo are 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."
"The ease of use, overall, is one of the valuable features, as is the ease of setup. Other than making sure IT was aware of, and agreed with our proceeding, we did not need IT for any of the setup. The ease of setup is more valuable than you might think. The ease of configuring the security policies, setting up groups, and setting up personalized data permissions so that only certain people can see certain data — that stuff is amazing... Domo really is extraordinarily full-featured, but it's really easy to use."
"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 ETL tools they have in Redshift are pretty awesome... I can work in Redshift to get the data from AWS and work in Redshift, in Domo, to create Transforms and the data structure we need..."
"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."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"The technical support services are good."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The product is easily customized."
"A valuable feature is the speed of the solution."
"It has the best feature for data augmentation."
 

Cons

"It's too early for me to say that something needs improvement, but there are times when there have been some flexibility issues with Domo... Tableau has a window function which can be integrated into a calculated field. That is missing in Domo so you have to make changes to the data set using ETL or SQL."
"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."
"One of the improvements that could be made is related to improved storage options."
"They could use more charts. They have had a very limited number of charts we can use. I believe, now, there are somewhere around 30 of them, but they could definitely use some more options."
"It is expensive."
"It is very difficult too, if we do have specific requests or errors that we can't get figure out - especially when it comes to the development platform, developing custom connectors or doing any kind of API work, custom cards - in that there's a lag in the response time."
"If Domo had a Copilot feature, you could interact with the graphs and talk to the graphs and tables."
"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."
"The solution could be more flexible."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
"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."
"The product could benefit from increased flexibility compared to other vendors."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"The scalability has room for improvement."
 

Pricing and Cost Advice

"I think it is reasonable."
"They've built an "app economy." Some of them are really expensive, so they're not for startups and smaller companies. They're more like enterprise tools. We couldn't afford some of them, because they were so crazy expensive. But if I was working for a bank, insurance company, or some bigger corporation then, for sure, you could justify those prices... It was silly expensive back then and it probably still is, or even more expensive."
"No matter if you're a developer or an end-user, the licensing cost is around $12 per user per month."
"For about 100 users our cost is $95,800."
"I'm not sure about pricing, but I believe Domo is quite costly. Prior to joining this organization, I had a Domo license with my former employer and I think that license was around $500 to $600 annually. That was for a single license. I think it varies, depending on the organization that is acquiring Domo."
"The pricing differs from customer to customer, depending on the package."
"It is on the pricier end."
"Because it's software as a service, it's more expensive on the face of it. But there are a lot of variables. I don't have to pay for servers or for infrastructure. I don't have to pay labor for my IT organization to set up or maintain the environment. I don't have to pay for them to upgrade the software, and test it, etc., because when it rolls out, it is transparent and seamless for us. But, because of that, it costs more, I imagine, than Sisense, or Yellowfin, or Power BI. A lot of those make it sound like they're inexpensive, but when you add in all the hidden costs and all of the overhead, it's probably comparable."
"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."
"A highly cost-effective solution"
"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."
"We pay on a monthly basis and it is $10 per user each month."
"Bottom line, the cost is really, really cheap compared to other solutions. Oracle has made a huge effort on the pricing."
"It is an expensive platform."
"I would rate it a five out of five in terms of the value received for the price charge."
"The tool's pricing is not unreasonable or non-competitive."
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Top Industries

By visitors reading reviews
Computer Software Company
12%
University
9%
Manufacturing Company
9%
Healthcare Company
7%
Educational Organization
39%
Financial Services Firm
9%
Computer Software Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Domo?
All our client SLAs and daily and weekly dashboards are tracked on Domo.
What needs improvement with Domo?
Dashboard settings in Domo are not much different from other platforms like Power BI. Data integration is okay, but not the best. Additionally, sometimes, if you want to revert data, Domo lacks fea...
Which Oracle product is better - OBIEE or Analytics Cloud?
Oracle OBIEE is designed to be relatively easy to set up and has a helpful customer support staff at the ready to assist customers. These are two attributes that make this system quite valuable. OB...
What do you like most about Oracle Analytics Cloud?
The ability to quickly search for and access relevant data is crucial.
What is your experience regarding pricing and costs for Oracle Analytics Cloud?
The solution is highly cost-effective and easy to customize. The pricing is quite reasonable if the long-term benefits are considered. I would rate the pricing a five out of ten. A company can depe...
 

Also Known As

corda
Oracle Analytics Cloud Service, OAC, Oracle Data Visualization, Oracle Data Visualization Cloud Service, ODV
 

Learn More

 

Overview

 

Sample Customers

Capco, SABMiller, Stance, eBay, Sage North America, Goodwill Industries of Central Indiana, Telus, The Cliffs, OGIO International Inc., and many more!
Sejong Hospital
Find out what your peers are saying about Domo vs. Oracle Analytics Cloud and other solutions. Updated: January 2025.
831,158 professionals have used our research since 2012.