Domo vs Oracle Analytics Cloud comparison

Why PeerSpot?

Domo and Oracle are both solutions in the BI (Business Intelligence) Tools category. Domo is ranked #6 with an average rating of 7.8, while Oracle is ranked #19 with an average rating of 8.0. Domo holds a 2.3% mindshare in BIT, compared to Oracle’s 1.4% mindshare. Additionally, 85% of Domo users are willing to recommend the solution, compared to 77% of Oracle users who would recommend it.

Domo

Read 48 Domo reviews

10,823 Views
6,061 Comparison Views

85% willing to recommend

Oracle Analytics Cloud

Read 28 Oracle Analytics Cloud reviews

6,525 Views
4,568 Comparison Views

77% 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: September 2026).

Buyer's Guide

Domo vs. Oracle Analytics Cloud

September 2026

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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

6th

Ranking in Data Visualization

8th

Average Rating

7.8

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (18th), Business Performance Management (7th), Reporting (4th)

Oracle Analytics Cloud

Ranking in BI (Business Intelligence) Tools

19th

Ranking in Data Visualization

15th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2026, in the BI (Business Intelligence) Tools category, the mindshare of Domo is 2.3%, down from 4.4% compared to the previous year. The mindshare of Oracle Analytics Cloud is 1.4%, down from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools Mindshare Distribution
Product	Mindshare (%)
Domo	2.3%
Oracle Analytics Cloud	1.4%
Other	96.3%

BI (Business Intelligence) Tools

Featured Reviews

Ruban Prasanna Dass SP

Assistant Manager at a tech services company with 10,001+ employees

Have improved workflow efficiency through custom reports but encountered formatting limitations

The downsides of Domo are that we don't have a feature in the same column. When data comes in a time format, text format, and number format, we cannot segregate and create conditional formatting in that column. If in the future they develop this feature, it will benefit more users. Domo requires maintenance on my end, such as updates. I am maintaining some dashboards on a weekly basis and monthly basis daily reports. Because we need to upload in SFTP, we cannot schedule or auto-schedule due to rate purposes. We manually handle the data sets. If there were an option to reduce the cost, it would be easier to access.

Read full review

DavidMalizia

Head Of Data And Ai at a tech services company with 11-50 employees

Data projects have grown rapidly and support complex analytics and quick dashboard delivery

Some things that could be improved in Oracle Analytics Cloud is definitely the way it works. In some cases, for example, if you want to create analytic functions such as the percentage of a measure over another, which is a straightforward question you might ask, it appears simple to do, but the result is not what you expect. I would make it more user-friendly in terms of creating new measures. The measure creation feature could be improved. In terms of functionality, there are not many functions that are completely missing. There is one aspect that if you compare it with Power BI from Microsoft, which works completely in memory and therefore puts everything in memory to allow many calculations on the fly on what is in memory, that is missing, but it is architecturally different and would not be possible to ask for something like that. Some time features and time series analysis functions could be improved. Calculating a year ago and previous period functions could definitely work with some improvement.

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

"If I had to choose something of value, I suppose I would have to say it's the ease of making graphs."

"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."

"Data is much more accessible throughout the organization."

"In general, of all the reporting tools I've used in the past, I have never been able to rapidly report and build dashboards faster than I have with this tool."

"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."

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

"The best thing is that the data storage is pretty much free. I can store as much data as I want, from different sources."

"The web interface is easy to use and intuitive."

More Domo pros

"Oracle Analytics Cloud is more refined compared to the on-premises version of OBIEE."

"I have found that the scalability quality of Oracle Analytics Cloud works extremely well."

"It's rather user-friendly."

"This solution is not that well known by clients but is a great product to use."

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

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

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

"Oracle Analytics Cloud's most valuable feature is its visualization."

More Oracle Analytics Cloud pros

Cons

"The utilization part: We cannot play much with the UX/UI. While they have APIs, they kept on failing if the data volume was too large."

"One of the biggest problems is that end users require a license to run their own reports and dashboards, which are fairly expensive."

"I would like to see more flexibility in their pricing structure."

"If Domo had a Copilot feature, you could interact with the graphs and talk to the graphs and tables."

"More functions on the ETL side for the drag and drop ETL."

"Creating tables - In the current table feature, all of the line items are just that, line items."

"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'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."

More Domo cons

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

"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 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 should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."

"As with most BI tools, the visualizations can be made much nicer."

"It is less scalable than Snowflake."

"This solution could be more adaptable in its application."

"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."

More Oracle Analytics Cloud cons

Pricing and Cost Advice

"The solution is expensive compared to one of its competitors."

"I think it is reasonable."

"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 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."

"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."

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

"No matter if you're a developer or an end-user, the licensing cost is around $12 per user per month."

"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."

More Domo pricing and cost advice

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

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

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

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

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

"A highly cost-effective solution"

"It is an expensive platform."

"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

Manufacturing Company

10%

Financial Services Firm

Outsourcing Company

University

Financial Services Firm

Government

Construction Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	17
Midsize Enterprise	13
Large Enterprise	20

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	7
Large Enterprise	11

Questions from the Community

What is your experience regarding pricing and costs for Domo?

My experience with pricing, setup cost, and licensing is that there was very little.

See all answers

What needs improvement with Domo?

I'm not sure how Domo can be improved overall, as it's a really good experience.

See all answers

What is your primary use case for Domo?

My main use case for Domo involves building different tables and different cards so I can look at different data points. A quick specific example of a table I have built or a data point I often loo...

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

Pricing for Oracle Analytics Cloud works with how much you want it to cost. We have clients who have bought large amounts of Oracle and the price per product has gone down massively because they bo...

See all answers

What needs improvement with Oracle Analytics Cloud?

See all answers

Comparisons

Tableau Enterprise vs Domo

Compared 17% of the time

Microsoft Power BI vs Domo

Compared 16% of the time

Google Data Studio vs Domo

Compared 2% of the time

Zendesk vs Domo

Compared 2% of the time

Palantir Foundry vs Domo

Compared 2% of the time

More Domo Competitors

SAP Business Data Cloud vs Oracle Analytics Cloud

Compared 7% of the time

Zoho Analytics vs Oracle Analytics Cloud

Compared 6% of the time

SAP BusinessObjects Business Intelligence vs Oracle Analytics Cloud

Compared 6% of the time

Tableau Enterprise vs Oracle Analytics Cloud

Compared 6% of the time

Oracle OBIEE vs Oracle Analytics Cloud

Compared 5% of the time

More Oracle Analytics Cloud Competitors

Product Reports

Buyer's Guide

Domo

September 2026

Download Domo product report

Buyer's Guide

Oracle Analytics Cloud

September 2026

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 provides self-service BI, enabling users to generate reports without needing a data warehouse. Its cloud-based nature enhances accessibility and performance, while offering customizable dashboards for data-driven decision-making.

Domo stands out for its robust data integration, featuring Magic ETL to streamline processes. Its AI-driven insights, extensive data connectors, and collaboration tools promote secure sharing and analytical proficiency. Although users note room for improvement in visualization, pricing, and data integration, its capabilities in generating executive dashboards and unified analytics remain prominent. Performance and user experience enhancements are desired, including improved support for large data volumes and richer data transformation tools.

What are the key features of Domo?

Self-Service BI: Generate reports without a data warehouse for simplified analysis.
Data Integration: Leverage Magic ETL for easy data management.
Customizable Dashboards: Tailor dashboards to specific needs.
AI-Driven Insights: Gain automated insights for better decision-making.
Extensive Data Connectors: Access a wide range of data sources.

What benefits should users look for when evaluating Domo?

Accessibility: Cloud-based structure ensures data access anywhere.
Performance: Enhanced performance with seamless data processing.
Collaboration: Facilitate secure sharing and collaboration for collective insights.
Decision-Making: Enable data-driven decisions with real-time analytics.

In industries like finance, marketing, project management, and retail, organizations use Domo for crafting executive dashboards, integrating data sources, and conducting advanced analytics. Its capabilities allow them to transform data into insightful dashboards, aiding in performance tracking and actionable insights.

Domo

Oracle Analytics Cloud offers enterprise-grade dashboarding, visualization, and data integration with machine learning and NLP capabilities. Its cloud infrastructure supports data preparation, predictive analysis, and business analytics, enhancing decision-making for global users.

Oracle Analytics Cloud excels in providing a comprehensive platform for financial, procurement, and HR analytics. It integrates seamlessly with systems like ERP and Primavera, allowing users to develop dashboards for financial status, personal data management, and predictive sales analysis. Known for its ease of use and capacity to handle large data volumes, it supports enterprise-level transactions across financials and logistics, offering stakeholders valuable insights. However, improvements are needed in visualization variety, cost efficiency, and performance speed. Certain areas such as connectors, data modeling features, flexibility, and support resources require enhancement.

What are the most significant features of Oracle Analytics Cloud?

Enterprise-Grade Dashboarding: Offers robust visualization and reporting capabilities.
Data Visualization: Provides intuitive visual tools for data analysis.
Data Integration: Seamlessly connects with ERP, Primavera, and other systems.
Machine Learning: Incorporates ML for smarter analytics and predictions.
Natural Language Processing: Simplifies search and data queries with NLP.
Automatic Dashboards: Generates dashboards through the Explain function.

What are the key benefits and ROI of choosing Oracle Analytics Cloud?

Ease of Use: User-friendly interface simplifies data analysis for teams.
Scalability: Handles large data volumes and grows with business needs.
Fast Performance: Quickly processes and analyzes data to aid decision-making.
Secure Business Analytics: Offers secure data preparation and analysis.

In industries like finance, procurement, and HR analytics, Oracle Analytics Cloud supports decision-making by integrating with existing systems such as ERP and Primavera. Users create dashboards for assessing financial status and predicting sales, aiding business intelligence and enterprise transactions, especially in financials and logistics.

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

September 2026

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