Domo vs Oracle Analytics Cloud comparison

Domo and Oracle are both solutions in the BI (Business Intelligence) Tools category. Domo is ranked #15 with an average rating of 7.0, while Oracle is ranked #8 with an average rating of 8.1. Domo holds a 6.7% mindshare in BIT, compared to Oracle’s 2.3% mindshare. Additionally, 84% of Domo users are willing to recommend the solution, compared to 75% of Oracle users who would recommend it.

Domo

Read 37 Domo reviews

5,161 Views
4,407 Comparison Views

84% willing to recommend

Oracle Analytics Cloud

Read 26 Oracle Analytics Cloud reviews

3,548 Views
2,060 Comparison Views

75% willing to recommend

Domo

Oracle Analytics Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 1, 2025

Domo and Oracle Analytics Cloud compete in the analytics and business intelligence category. Domo is favored for its rapid prototyping and user-friendly approach, while Oracle Analytics Cloud is preferred by larger enterprises due to its strong data visualization and integration capabilities.

Features: Domo offers rapid prototyping, user-friendliness, and extensive data connectors, enhancing data handling ease from multiple sources. It is valued for its ETL capabilities, allowing flexible data transformation. Oracle Analytics Cloud provides robust data visualization and consolidation, seamless integration with existing infrastructures, and advanced analytics and machine learning for deep insights.

Room for Improvement: Domo faces challenges with large data sets, and its visualization options are less advanced, impacting scalability and analytics depth. Integration capabilities and technical support lack agility. Oracle Analytics Cloud's complexity and cost are concerns, with users seeking improved machine learning features, more intuitive interfaces, and enhanced data handling flexibility.

Ease of Deployment and Customer Service: Domo supports on-premises and hybrid cloud deployment, with responsive yet sometimes overstretched support services post-deployment. Oracle Analytics Cloud offers cloud and hybrid deployment, with noted slower technical support and initial setup challenges, although customer service is generally knowledgeable.

Pricing and ROI: Domo is considered expensive but offers significant ROI and has a flexible pricing structure beneficial for negotiations, yet its cost may deter smaller companies. Oracle Analytics Cloud is also costly yet delivers strong ROI for enterprises willing to invest in its comprehensive capabilities, although its pricing can discourage cost-sensitive users.

To learn more, read our detailed Domo vs. Oracle Analytics Cloud Report (Updated: February 2025).

Buyer's Guide

Domo vs. Oracle Analytics Cloud

February 2025

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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

15th

Ranking in Data Visualization

9th

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Integration (46th), Business Performance Management (15th), Reporting (7th)

Oracle Analytics Cloud

Ranking in BI (Business Intelligence) Tools

8th

Ranking in Data Visualization

6th

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2025, in the BI (Business Intelligence) Tools category, the mindshare of Domo is 6.7%, up from 4.6% compared to the previous year. The mindshare of Oracle Analytics Cloud is 2.3%, down from 2.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools

Featured Reviews

James John Wilson

Business Development Manager at Freelancer

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.

Read full review

Hafiz Abdul Mannan

Senior Consultant Oracle Technologies at Hewlett Packard Enterprise

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.

Read full review

Quotes from Members

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

Pros

"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."

"I mostly see it as an ETL which has many system connectors. It does a good job of ETL."

"This solution allows us to change our performance metrics and tracks our goals in real-time."

"The dashboarding itself was pretty easy. So both the front and the back end were positive in this case."

"The ability to create custom connectors was useful because you never know, with customers, what platform they want to utilize or what data they have. It gave us a lot of flexibility in being able to bring data in from different places."

"We find the ease of using the solution valuable."

"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."

More Domo pros

"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."

"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."

"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."

"It plays a crucial role in facilitating decision-making for various organizational stakeholders."

"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."

"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."

"The solution is user-friendly."

"A valuable feature is the speed of the solution."

More Oracle Analytics Cloud pros

Cons

"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."

"When you're exporting a graph out of Domo — suppose it is in the form of a donut chart or it is in form of a stack — the data comes out in tabular format, not as a graph. When exporting the data, I would like them to create a tab for graphs and another tab with the data in tabular format."

"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."

"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."

"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."

"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's a learning curve before you can get used to the solution."

"It is expensive."

More Domo cons

"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 is expensive."

"The interfaces could be improved and some in-memory operations could be built in."

"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."

"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."

"The scalability has room for improvement."

"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 price of the solution could be lower."

More Oracle Analytics Cloud cons

Pricing and Cost Advice

"I believe that the investment in Domo was worthwhile because it allowed for the organization to jump in quickly, with little training. There are different plans available based on the requirements."

"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."

"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."

"The pricing differs from customer to customer, depending on the package."

"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."

"I think it is reasonable."

"It started out at about $600 a seat. However, then as we started to grow, it scaled that down to about $330 or 3$50 a seat, if I'm not mistaken."

"For about 100 users our cost is $95,800."

More Domo pricing and cost advice

"It is an expensive platform."

"I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."

"The tool's pricing is not unreasonable or non-competitive."

"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."

"Bottom line, the cost is really, really cheap compared to other solutions. Oracle has made a huge effort on the pricing."

"We pay on a monthly basis and it is $10 per user each month."

"A highly cost-effective solution"

"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."

More Oracle Analytics Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

12%

University

10%

Manufacturing Company

Financial Services Firm

Educational Organization

38%

Computer Software Company

Financial Services Firm

Government

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.

See all answers

What is your experience regarding pricing and costs for Domo?

Domo is expensive compared to other solutions.

See all answers

What needs improvement with Domo?

One of the biggest problems is that end users require a license to run their own reports and dashboards, which are fairly expensive. Domo is also not the easiest product to use and is more expensiv...

See all answers

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...

See all answers

What do you like most about Oracle Analytics Cloud?

The ability to quickly search for and access relevant data is crucial.

See all answers

What is your experience regarding pricing and costs for Oracle Analytics Cloud?

The pricing of Oracle Analytics Cloud is quite expensive, fitting for a premium tool. However, the cost raises expectations for partner support that are not met, especially for smaller companies wh...

See all answers

Comparisons

Tableau vs Domo

Compared 43% of the time

Microsoft Power BI vs Domo

Compared 39% of the time

Palantir Foundry vs Domo

Compared 4% of the time

Databricks vs Domo

Compared 3% of the time

Looker vs Domo

Compared 3% of the time

More Domo Competitors

Oracle OBIEE vs Oracle Analytics Cloud

Compared 25% of the time

Microsoft Power BI vs Oracle Analytics Cloud

Compared 14% of the time

Databricks vs Oracle Analytics Cloud

Compared 13% of the time

Oracle Business Intelligence Cloud Service vs Oracle Analytics Cloud

Compared 10% of the time

Tableau vs Oracle Analytics Cloud

Compared 9% of the time

More Oracle Analytics Cloud Competitors

Product Reports

Buyer's Guide

Domo

March 2025

Download Domo product report

Buyer's Guide

Oracle Analytics Cloud

March 2025

Download Oracle Analytics Cloud product report

Also Known As

corda

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

Overview

Domo is a cloud-based, mobile-first BI platform that helps companies drive more value from their data by helping organizations better integrate, interpret and use data to drive timely decision making and action across the business. The Domo platform enhances existing data warehouse and BI tools and allows users to build custom apps, automate data pipelines, and make data science accessible for anyone through automated insights that can be shared with internal or external stakeholders.

Find more information on The Business Cloud Here.

Domo

Oracle Analytics is a complete platform with ready-to-use services for a wide variety of workloads and data.

Oracle Analytics allows businesses to add AI and machine learning capabilities to any application—and as part of our integrated suite of cloud services to comply with data security and connected without disrupting business operations.

Offering valuable, actionable insights from all types of data—in the cloud, on-premises, or in a hybrid deployment—Oracle Analytics empowers business users, data engineers, and data scientists to access and process relevant data, evaluate predictions, and make quick, accurate decisions.

Oracle Analytics Cloud Features

Oracle Analytics Cloud has many valuable key features. Some of the most useful ones include:

Intelligent search
Smart data discovery
Smart data preparation
Natural language
Auto suggest
Visualization
Dashboarding
Global transformation policies
Smart collaboration
Integrated data science
Enterprise architecture and security
Platform extensibility
Smart data connectors

Oracle Analytics Cloud Benefits

There are many benefits to implementing Oracle Analytics Cloud. Some of the biggest advantages the solution offers include:

Flexibility: Oracle Analytics Cloud gives you the flexibility to grow and change as your business does. At the same time, it puts you in complete control of your analytics environment by allowing you to analyze data and accommodate changing demand easily.

Scalable: Oracle Analytics Cloud is a single, centralized solution that provides everything you need in a scalable environment to support varied user requirements for your organization right now and in the future as well.

Comprehensive analytics: With Oracle Analytics Cloud, existing services are combined with new ones to deliver comprehensive analytics in the cloud. It provides everything you need for analytic agility, from fast, fluid self-service discovery to data loading and blending, inline data prep, data enrichment, automatic visualizations, data storytelling, and more.

Cost-effectiveness: The solution is cost-effective and reduces your total cost of ownership (TCO).
Innovation: Use the latest data analytics technologies, such as AI, machine learning, and natural language processing. Oracle Analytics has been recognized by industry experts for its innovations and robust architecture.

Reviews from Real Users

Below are some reviews and helpful feedback written by PeerSpot users currently using the Oracle Analytics Cloud solution.

Fabricio Q., Data Analytics Manager, says, “The main functionality is great and everything is pretty standard and easy to use. It's great for consolidation and creating one source of truth. The initial setup is pretty straightforward.”

PeerSpot user, Eric B., Independent Consultant - Oracle BI Applications at Desjardins, mentions “It's really an enterprise solution. It has standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution.”

Gaurav S., Vice President Credit Risk Management at a financial services firm, explains, “From a financial or bank perspective, this product is secure enough. The dashboards, analytics, visualizations, and different reports are valuable for business analytics. The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code.”

Another reviewer, Trinh P., Delivery Manager at Sift Ag, comments, "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."

Oracle

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

Buyer's Guide

Domo vs. Oracle Analytics Cloud

February 2025

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