Oracle Analytics Cloud vs Tableau comparison

Oracle and Salesforce are both solutions in the BI (Business Intelligence) Tools category. Oracle is ranked #8 with an average rating of 8.1, while Salesforce is ranked #2 with an average rating of 8.6. Oracle holds a 2.3% mindshare in BIT, compared to Salesforce’s 18.3% mindshare. Additionally, 75% of Oracle users are willing to recommend the solution, compared to 89% of Salesforce users who would recommend it.

Oracle Analytics Cloud

Read 26 Oracle Analytics Cloud reviews

3,919 Views
2,256 Comparison Views

75% willing to recommend

Tableau

Read 295 Tableau reviews

18,562 Views
15,629 Comparison Views

89% willing to recommend

Oracle Analytics Cloud

Tableau

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 1, 2025

Tableau and Oracle Analytics Cloud are leading competitors in the business intelligence and data analytics space. Tableau has the upper hand in data visualization ease, whereas Oracle Analytics provides stronger integration capabilities for larger business operations.

Features: Tableau excels in data visualization with intuitive drag-and-drop functionality, integration with numerous data sources, and fast performance for intricate visual analytics. Oracle Analytics Cloud is designed for extensive business analytics, offering robust integration with organizational operations, comprehensive reporting, and scalability for enterprise needs.

Room for Improvement: Tableau needs to improve data integration and scalability, particularly addressing performance with extensive data sets and offering more cost-effective solutions. Oracle Analytics Cloud should enhance visualization flexibility, improve user interaction, and optimize cost management for enterprises by refining scheduling and connectivity features.

Ease of Deployment and Customer Service: Tableau offers flexible deployment across on-premises and cloud environments, coupled with highly regarded customer support and a strong online community. Oracle Analytics Cloud is easy to deploy in cloud settings but lacks on-premises flexibility, with customer service rated as satisfactory, needing technical expertise improvements.

Pricing and ROI: Tableau's pricing is higher but justified by significant ROI through time efficiency and visualization capabilities tailored for small to medium businesses. Oracle Analytics Cloud, perceived as expensive, provides cost-effective solutions for large enterprises with extensive analytics needs, though simpler tools like Power BI offer budget alternatives.

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

Buyer's Guide

Oracle Analytics Cloud vs. Tableau

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

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

Tableau

Ranking in BI (Business Intelligence) Tools

2nd

Ranking in Data Visualization

1st

Average Rating

8.4

Reviews Sentiment

6.4

Number of Reviews

295

Ranking in other categories

Reporting (2nd), Embedded BI (1st)

Mindshare comparison

As of March 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 18.3%, down from 19.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools

Featured Reviews

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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ROMIL SHAH

Deputy General Manger - Information Technology at Nayara Energy

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.

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

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

"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."

"The solution can scale."

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

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

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

"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."

"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."

More Oracle Analytics Cloud pros

"Tableau has comprehensive, insightful charts, which allow you to build stunning dashboards and enrich your support decision-making."

"This solution has improved insights into quantitative data."

"I really like the interactivity of the dashboards."

"From the data science point of view, we use it for model building purposes. For example, if we are using it for a bank and we want to understand how much loan the bank can provide, we can use visualization to show the educational qualification, salary, gender, and city of a customer, and by using this information, we can arrive at the loan amount that this person is eligible for. I can also use it to view all prospective customers, so essentially, this is going to help me in model building as well as in understanding and segmenting customers and doing forecasting and predictive analytics. We use model widgets, and we can create thousands of visualizations, such as motion charts and bubble charts. We can also create animated versions of the graphs and view the data from multiple dimensions. These are the features that we typically use and like."

"Gradual scalability from simple to complex situations"

"It's easy to use."

"The solution has great features which nobody can beat, you can do a lot of customizations, such as use different dimensions and colorize them. Additionally, you can use the numeric values for the customization, which is an exceptional feature."

"The most important feature is the tool is very easy to use. This makes it simple to introduce it to CxOs. After a rapid demo, they are usual impressed by the results shown, because it has such a rare simplicity."

More Tableau pros

Cons

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

"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."

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

"It is less scalable than Snowflake."

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

"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."

"At this time, dataflows cannot be shared, but I think that this should be enhanced."

"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."

More Oracle Analytics Cloud cons

"There could be improvements on the mobile application, it is lacking features."

"When it comes to large datasets, the data should be extracted faster."

"It's already using 32 gigabytes of memory, but the performance is not so good. It's very heavy."

"Tableau has so many functions, so sometimes it's hard to find the right solution quickly. I have to search multiple menu bars to find the right command."

"The architecture should be improved to better handle the data."

"Creating empty extracts is not easy."

"They need to improve the icons and the filters, because they look too old, resembling Excel from 1997."

"There are not enough language options. It needs to be offered in more than just English."

More Tableau cons

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."

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

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

"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."

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

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

"It is an expensive platform."

More Oracle Analytics Cloud pricing and cost advice

"I'm using Tableau Public, which is free."

"Tableau is free."

"Tableau can be costly (but this can be indefinable, such as user experience vs. cheaper etc.)"

"The company chose to purchase a creator license for me, which was $70. With that license, you can also be an administrator. We also have 20-25 extra licenses and they cost around $20-$35 each. Those are for normal users who will be viewing the dashboards. Those are monthly charges."

"Buy 50 at a time. Project your use base every three months, and project your requirements forward."

"I wish there was more of a subscription model with the pricing when it comes to Tableau, so you can get all the latest version upgrades/features if you pay monthly/annually."

"Tableau is a little cheaper as compared to Power BI and other technologies that we have used in the past. However, if the business users in our organization want to make presentations, Tableau has been asking us to purchase a Tableau Creator license, and $35 per month is expensive for business users. Power BI is giving a free desktop version for business users to connect to any data source and build their own dashboards. That's why we have proposed to use Power BI for most of the business users in our organization."

"It is a bit overpriced."

More Tableau pricing and cost advice

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Comparison Review

it_user6330

Product Manager at a retailer with 10,001+ employees

May 2, 2013

MicroStrategy vs. Tableau

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Top Industries

By visitors reading reviews

Educational Organization

40%

Financial Services Firm

Computer Software Company

Government

Educational Organization

44%

Financial Services Firm

10%

Computer Software Company

Manufacturing Company

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...

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

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...

See all answers

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...

See all answers

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 ...

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Comparisons

Oracle OBIEE vs Oracle Analytics Cloud

Compared 24% 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 11% of the time

SAP Analytics Cloud vs Oracle Analytics Cloud

Compared 7% of the time

More Oracle Analytics Cloud Competitors

Microsoft Power BI vs Tableau

Compared 20% of the time

Domo vs Tableau

Compared 13% of the time

Amazon QuickSight vs Tableau

Compared 7% of the time

Databricks vs Tableau

Compared 6% of the time

SAP Analytics Cloud vs Tableau

Compared 4% of the time

More Tableau Competitors

Product Reports

Buyer's Guide

Oracle Analytics Cloud

February 2025

Download Oracle Analytics Cloud product report

Buyer's Guide

Tableau

February 2025

Download Tableau product report

Also Known As

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

Tableau Desktop, Tableau Server, Tableau Online

Overview

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

Tableau is a tool for data visualization and business intelligence that allows businesses to report insights through easy-to-use, customizable visualizations and dashboards. Tableau makes it exceedingly simple for its customers to organize, manage, visualize, and comprehend data. It enables users to dig deep into the data so that they can see patterns and gain meaningful insights.

Make data-driven decisions with confidence thanks to Tableau’s assistance in providing faster answers to queries, solving harder problems more easily, and offering new insights more frequently. Tableau integrates directly to hundreds of data sources, both in the cloud and on premises, making it simpler to begin research. People of various skill levels can quickly find actionable information using Tableau’s natural language queries, interactive dashboards, and drag-and-drop capabilities. By quickly creating strong calculations, adding trend lines to examine statistical summaries, or clustering data to identify relationships, users can ask more in-depth inquiries.

Tableau has many valuable key features:

Tableau dashboards provide a complete view of your data through visualizations, visual objects, text, and more.
Tableau provides convenient, real-time options to collaborate with other users and instantly share data in the form of visualizations, sheets, and dashboards.
Tableau ensures connectivity to both live data sources and data extraction from external data sources as in-memory data. This gives users the flexibility to use data from more than one source without any restrictions.
Tableau gives many data source option, ranging from spreadsheets, big data, on-premise files, relational databases, non-relational databases, data warehouses, and big data, to on-cloud data.
Tableau has a lot of pre-installed information on maps, such as cities, postal codes, and administrative boundaries.
Tableau has a foolproof security system based on authentication and permission systems for data connections and user access. Tableau also gives you the freedom to integrate with other security protocols.

Tableau stands out among its competitors for a number of reasons. Some of these include its fast data access, easy creation of visualizations, and its stability. PeerSpot users take note of the advantages of these features in their reviews:

Romil S., Deputy General Manager of IT at Nayara Energy, notes, "Its visualizations are good, and its features make the development process a little less time-consuming. It has an in-memory extract feature that allows us to extract data and keep it on the server, and then our users can use it quickly.

Ariful M., Consulting Practice Partner of Data, Analytics & AI at FH, writes, “Tableau is very flexible and easy to learn. It has drag-and-drop function analytics, and its design is very good.”

Salesforce

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.

Buyer's Guide

Oracle Analytics Cloud vs. Tableau

February 2025

Free Report: Oracle Analytics Cloud vs. Tableau

Find out what your peers are saying about Oracle Analytics Cloud vs. Tableau and other solutions. Updated: February 2025.

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