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Oracle Analytics Cloud vs Tableau Enterprise comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 4, 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
9th
Ranking in Data Visualization
6th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
27
Ranking in other categories
No ranking in other categories
Tableau Enterprise
Ranking in BI (Business Intelligence) Tools
2nd
Ranking in Data Visualization
1st
Average Rating
8.4
Reviews Sentiment
6.3
Number of Reviews
307
Ranking in other categories
Reporting (2nd), Embedded BI (1st)
 

Mindshare comparison

As of September 2025, in the BI (Business Intelligence) Tools category, the mindshare of Oracle Analytics Cloud is 1.9%, down from 2.4% compared to the previous year. The mindshare of Tableau Enterprise is 11.0%, down from 20.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
BI (Business Intelligence) Tools Market Share Distribution
ProductMarket Share (%)
Tableau Enterprise11.0%
Oracle Analytics Cloud1.9%
Other87.1%
BI (Business Intelligence) Tools
 

Featured Reviews

Vaclav-Biba - PeerSpot reviewer
Enhanced analytics through metadata-driven reporting with enterprise-level visualizations enables competitive advantage
In my opinion, what can be better in Oracle Analytics Cloud these days is primarily about pricing. I am from the Czech Republic, which is our main market. The situation here in the Czech Republic is that Power BI rules the world. There are two main reasons for this. First, speaking about the Czech Republic specifically, and second, the Power BI pricing model appears cheaper compared to Oracle Analytics Cloud. The pricing model in Microsoft is more straightforward. With Oracle, you have the data visualization and enterprise lines, and to put it simply, both appear as more expensive options for customers trying to get oriented in the segment.
Uzair Faruqi - PeerSpot reviewer
Ease of developing dashboards and receiving strong technical support have enabled efficient data visualization
Introducing custom features, such as NLP-based reports, is not very good in Tableau. My MD has been asking us for a way to write in natural language to request reports that the system should generate, but that isn't very effective with Tableau. As a developer, I can develop an on-demand report in Python quite easily, but exposing a REST API on the Tableau platform is not a very easy task. AI enablement is an area for improvement for Tableau, and that is something they might have to work upon. I have heard that ThoughtSpot is quite better in this regard, but the cost of ThoughtSpot is much higher. ThoughtSpot has lots of natural language-based report generation features that Tableau lacks.

Quotes from Members

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

Pros

"The product is able to compare with other tools on the market; it has everything you need, everything you can find in other tools such as Tableau and Power BI, and additionally, it has history, so you get a robust solution with support."
"I've discovered that the new layout of this product makes Docker sharing, machine learning support, and data backups more efficient. Unlike the older method of linking physical, pre-logical, and presentation layers separately, the new interface simplifies this process. Additionally, the integration of databases and machine learning is seamless, with the new visualization approach being particularly beautiful and highly beneficial."
"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 product is easily customized."
"The most valuable features of the solution are dashboarding and data visualization."
"The product is able to compare with other tools on the market; it has everything you need, everything you can find in other tools such as Tableau and Power BI, and additionally, it has history, so you get a robust solution with support."
"It plays a crucial role in facilitating decision-making for various organizational stakeholders."
"The solution is user-friendly."
"The maps and colors and interface are all fantastic."
"It is very easy to create dashboards, charts, and graphs."
"The data blending capabilities is a huge factor for our team."
"Tableau is an advanced specialized tool. One of the best features I've seen is the lack of an intermediate semantic layer. I think that's an advantage compared to any other tool like BusinessObjects or Power BI, which are Tableau's biggest competitors."
"The most valuable feature is that we can integrate with our own database, and it will displays the KPIs. This is highly required from the business side."
"Tableau is easy to use. That's the first and most important thing. I not only provide consulting but I also train people to use it, so with its ease-of-use it's not as difficult for me to train executives and management staff, because they don't have the IT background, unlike when I'm using Python."
"Tableau's most valuable feature is its ability to connect with various data sources and display real-time data on three different dashboards."
"I like Tableau's heat maps and the storyboard. You can create data stories and tons of visuals with it, and it goes together really well. Tableau lets you manipulate the data in various ways."
 

Cons

"It is less scalable than Snowflake."
"The pricing model in Microsoft is more straightforward. With Oracle, you have the data visualization and enterprise lines, and to put it simply, both appear as more expensive options for customers trying to get oriented in the segment."
"The implementation of generative AI and machine learning should improve"
"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."
"The interfaces could be improved and some in-memory operations could be built in."
"It is expensive."
"The price of the solution could be lower."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"Tableau is an end-to-end analytics platform, and it is doing a pretty good job in terms of connecting to the data and analyzing it. It can, however, do better in terms of data management and the ETL features, which are not on the advanced analytics or machine learning side. Tableau Prep is where users would want to see more advancements. They can improve Tableau Prep, which is an analytic platform tool for data cleansing. People who work with data spend most of their time curating the data. Cleaning up the data and getting it ready for analysis is what takes the most time. If Tableau can invest more time in improving the Tableau Prep platform, it would be great. Previously, Tableau didn't have the functionality for writing to a database. So, you couldn't really alter the database tables and write to your database, but they fixed that in one of the very recent releases. However, it isn't really advanced and should be improved."
"There could be improvements on the mobile application, it is lacking features."
"I would like to be able to set the parameters in a more specific manner."
"Navigating through activities like cleansing, reshaping, and wrangling extensive or complicated datasets could prove challenging within the Tableau environment."
"Its price is a concern. It is more expensive than Power BI. The other thing that I never liked about Tableau is its ability to handle large sets of data. To present the data in the dashboards, we have to stage it up exactly like it is going to come into the dashboard. We use another tool called Alteryx that does that for us. So, we manipulate the data, get it staged, and then push it into Tableau. Tableau is terrible at handling large data sets, and we knew right away that we couldn't use Tableau to do data manipulation."
"Creating empty extracts is not easy."
"The SQL programming functionality needs to be improved."
"There's no mature ETL tool in Tableau, which is quite a negative for them."
 

Pricing and Cost Advice

"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."
"I would rate it a five out of five in terms of the value received for the price charge."
"It is an expensive platform."
"The tool's pricing is not unreasonable or non-competitive."
"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."
"I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."
"A highly cost-effective solution"
"We pay on a monthly basis and it is $10 per user each month."
"We pay for the enterprise license for Tableau. The licensing could be cheaper and more flexible."
"I believe it has a lifelong license, and once you purchase it, you don't have to renew it, but I'm not sure."
"Licensing fees are paid on a yearly basis."
"The price of Tableau is high, although there are different types of licenses available."
"Its price is reasonable. Everything is included in the license."
"This license is on a yearly basis."
"If they want to be competitive in the market, the price must be improved."
"Tableau is an expensive solution."
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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
Government
12%
Computer Software Company
11%
Manufacturing Company
9%
Financial Services Firm
9%
Financial Services Firm
15%
Manufacturing Company
10%
Computer Software Company
9%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise7
Large Enterprise11
By reviewers
Company SizeCount
Small Business117
Midsize Enterprise66
Large Enterprise182
 

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 Enterprise and other solutions. Updated: September 2025.
867,826 professionals have used our research since 2012.