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Oracle Analytics Cloud vs Tableau 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

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
26
Ranking in other categories
No ranking in other categories
Tableau
Ranking in BI (Business Intelligence) Tools
2nd
Ranking in Data Visualization
1st
Average Rating
8.4
Reviews Sentiment
6.5
Number of Reviews
296
Ranking in other categories
Reporting (2nd), Embedded BI (1st)
 

Mindshare comparison

As of April 2025, in the BI (Business Intelligence) Tools category, the mindshare of Oracle Analytics Cloud is 2.3%, down from 2.8% compared to the previous year. The mindshare of Tableau is 17.5%, down from 19.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
BI (Business Intelligence) Tools
 

Featured Reviews

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.
ROMIL SHAH - PeerSpot reviewer
Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time
When it comes to visualizations, Tableau has a limitation as compared to Power BI. It has a limited set of visualizations. Power BI has the entire marketplace, so you can connect and import many visualizations and use them, whereas Tableau has only 10 or 15 visualizations. There should be more visualizations, and there should also be data integration with more cloud providers. Tableau has recently launched a paid version for the documentation. So, documentation has become a little bit challenging when it comes to Tableau development because we do not have any tool to export the data out of it. It is a license-based feature that you need to purchase to prepare documentation. So, on the documentation front, for preparing clear documentation for any dashboard, it would help if we get an embedded option, rather than buying a license for each user for the documentation. To document anything, if I have to connect to each workbook and see what has been written as a formula and then document in the Word document, it is pretty time-consuming. We have the Microsoft stack, and we are currently evaluating Power BI because Tableau has a limitation of 50 columns for a drill-down report. If we want more than 50 columns, we have found a hack, but there is no ready-made option for doing it. So, we have to use another tool in case we need a drilled report with more than 50 columns. There are many instances where users need 80 or 90 columns for their analysis, and switching between two technologies becomes a challenge. It is not a cost-effective approach for us. Their support should be improved. We are not happy with their support. Whenever we raised queries, we were pointed to a few blogs, and we didn't get a proper solution from them. Their licensing should also be improved. They want us to purchase a Tableau Creator license for business users, whereas Power BI Desktop is free for business users. They should come up with a basic license with one or two connectors that our business users can use for preparing their visualizations. Tableau also charges us per user for users who want the data only through email.

Quotes from Members

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

Pros

"A valuable feature is the speed of the solution."
"It plays a crucial role in facilitating decision-making for various organizational stakeholders."
"The technical support is excellent, and they respond quickly."
"The best feature may be data flow, which is used to prepare and clean data."
"It's really an enterprise solution. It has a dashboard, like 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. If you're new to machine learning, it's a really good way to get into it, because it's all within this platform, and it's really easy to use."
"The technical support services are good."
"The advanced calculations by the tool are highly effective"
"This is a stable and scalable solution."
"We found Tableau has the quickest learning time out of the few other BI reporting tools that we have used."
"Scheduled extract and the multiple connectors are fantastic!"
"The most valuable feature is the aggregation function."
"From my perspective, it enables clients to better understand our data and make better decisions based on that information."
"It is very good for data visualization. It has very powerful visualizations and is easy to use."
"There are already connectors to almost every single major database and service that you can possibly think of."
"The initial setup is quick and easy and you don't need special outside assistance to set everything up."
"The ease of presenting findings is very helpful."
 

Cons

"This solution could be more adaptable in its application."
"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."
"The interfaces could be improved and some in-memory operations could be built in."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"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."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"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."
"The scalability has room for improvement."
"Firstly, the high cost of Tableau licenses makes it inaccessible for many mid-scale clients. Secondly, the server requires at least 128GB of RAM, which can be impractical for some systems. We need a dedicated system to use Tableau."
"An area needing improvement involves the complexity of the product should you need to alter a lot of parameters. If you have technical servers, much interface, different providers and more serious processes, that will be time consuming."
"We would like a report model, because currently there is no schema that we can create in the tool."
"The customization requires a lot of effort and should be simplified. The performance could be better."
"It will be good if the server, could be more stable, and I would like to have the technical service to be more reliable."
"The solution does have scalability issues."
"The ability to use it on MAC machines. As far as I know, this is not possible."
"When there are millions of records, scaling up is quite difficult."
 

Pricing and Cost Advice

"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."
"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."
"The tool's pricing is not unreasonable or non-competitive."
"I don't know the exact cost, but its pricing was good. Its pricing was competitive. I would rate it a three out of five in terms of pricing."
"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."
"I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."
"I would rate it a five out of five in terms of the value received for the price charge."
"We pay on a monthly basis and it is $10 per user each month."
"The solution's licensing is based on user-basis. It depends on the business ROI it offers. It's not on the higher side or too cheap; it falls in the medium-cost range. The price is determined by user usage, so the cost will also increase as the number of users increases."
"Tableau is an expensive solution."
"It is more expensive than other solutions."
"It's an annual fee with everything included but it's quite expensive."
"For data extraction and analysis, Tableau is better than any other tool I have used with the same pricing model."
"The product's price is relatively inexpensive and manageable for enterprise-level companies."
"Tableau is free."
"The price of Tableau is high, although there are different types of licenses available."
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Comparison Review

it_user6330 - PeerSpot reviewer
May 2, 2013
MicroStrategy vs. Tableau
After a recent presentation, several attendees asked me about the applications of Visual Insights and Tableau. Many companies are investing in both tools and are trying to figure out the right tool for specific applications Tableau has found its sweet-spot as an agile discovery tool that analysts…
 

Top Industries

By visitors reading reviews
Educational Organization
38%
Computer Software Company
8%
Financial Services Firm
8%
Government
7%
Educational Organization
44%
Financial Services Firm
10%
Computer Software Company
6%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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 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...
Seeking lightweight open source BI software
It depends on the Data architecture and the complexity of your requirement. Some great tools in the market are Qlik Sense, Power BI, OBIEE, Tableau, etc. I have recently started using Cognos Enter...
Tableau vs. Business Objects - Which is a better solution for visualization and analysis?
Both tools have their positives and negatives. First, I should mention that I am relatively new to Tableau. I have been working on and off Tableau for about a year, but getting to work on it consta...
Which would you choose - Tableau or SAP Analytics Cloud?
Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies ...
 

Also Known As

Oracle Analytics Cloud Service, OAC, Oracle Data Visualization, Oracle Data Visualization Cloud Service, ODV
Tableau Desktop, Tableau Server, Tableau Online
 

Overview

 

Sample Customers

Sejong Hospital
Accenture, Adobe, Amazon.com, Bank of America, Charles Schwab Corp, Citigroup, Coca-Cola Company, Cornell University, Dell, Deloitte, Duke University, eBay, Exxon Mobil, Fannie Mae, Ferrari, French Red Cross, Goldman Sachs, Google, Government of Canada, HP, Intel, Johns Hopkins Hospital, Macy's, Merck, The New York Times, PayPal, Pfizer, US Army, US Air Force, Skype, and Walmart.
Find out what your peers are saying about Oracle Analytics Cloud vs. Tableau and other solutions. Updated: February 2025.
844,944 professionals have used our research since 2012.