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.

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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.

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Quotes from Members

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

Pros

"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..."

"In general, Domo is very powerful and very easy to use, relatively speaking."

"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 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."

"It has the best GUI. And it already has an ETL tool embedded in it..."

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

"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."

"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."

More Domo pros

"It's great for consolidation and creating one source of truth."

"The scalability is acknowledged as pretty good, although my evaluation is limited because I used the tool for a short period."

"The technical support services are good."

"Oracle Analytics Cloud is not very user-friendly, however, it is robust and capable of performing a wide range of tasks."

"The technical support is excellent, and they respond 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."

"It has the best feature for data augmentation."

"The solution is user-friendly."

More Oracle Analytics Cloud pros

Cons

"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 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."

"One of the improvements that could be made is related to improved storage options."

"It is expensive."

"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 better data intake."

"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."

More Domo cons

"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."

"One of the major issues is that Oracle Analytics Cloud is not user-friendly, requiring skilled people with proper certifications to work with it successfully."

"Its machine learning and visualization capabilities can be improved. There should be more visualization options."

"The product could benefit from increased flexibility compared to other vendors."

"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."

"It is less scalable than Snowflake."

"Analytics Cloud allows you to merge various data types and structure data from multiple sources."

"The solution could be more flexible."

More Oracle Analytics Cloud cons

Pricing and Cost Advice

"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."

"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."

"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."

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

"It is on the pricier end."

"Domo has more than one licensing model. You can choose between the yearly subscription and the per-user licensing model. The tool is flexible in terms of licensing. As for the cost, Domo is an end-to-end BI tool so its pricing is a little higher than other players in the market, for example, non end-to-end BI tools such as OBIEE and Tableau specific only for business intelligence and presenting data to the end users, unlike Domo which handles everything. You want to get Domo as an integration tool, an ETL tool, etc. As the tool is end-to-end, its cost is always going to be a little higher than other BI tools, but it's worth paying because you won't have to spend extra for other activities. After all, Domo can do those activities."

"The price that they offered was around $200 per user license. It was pretty cheap at that time compared to other companies. I think they have revamped their pricing structure since then."

More Domo pricing and cost advice

"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."

"A highly cost-effective solution"

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

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

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

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

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

"I would rate it a five out of five in terms of the value received for the price charge."

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 26% 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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