Oracle Analytics Cloud vs Tableau comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between Oracle Analytics Cloud and Tableau based on real PeerSpot user reviews.

Find out in this report how the two Data Visualization solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Oracle Analytics Cloud vs. Tableau Report (Updated: March 2024).
763,955 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The most valuable features of the solution are dashboarding and data visualization.""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.""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.""It's great for consolidation and creating one source of truth.""The technical support services are good.""It has the best feature for data augmentation.""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."

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"The most important feature in Tableau is visual analytics.""Tableau is very flexible and easy to learn. It has drag-and-drop function analytics, and its design is very good. It is a very good tool, and it basically brings life into data with good design. We have been creating a lot of interactive visualizations and dashboards. It has a public version. There are public communities from where you can get a lot of examples for practice.""The solution deployment was straightforward.""Tableau's most valuable feature is its ability to connect with various data sources and display real-time data on three different dashboards.""The Web Editing capabilities allow us to grant end users enough capabilities for them to do self-serve discovery without the added cost of needing to get everyone desktop licenses.""It's very easy to use and users don't need any IT support to access it as the information is right there.""One of the most valuable features is that the solution allows users to build interactive dashboards. This allows the end user to modify the criteria or the filtering if need be. As far as for my personal use as a QA Engineer, I really value how extensive their API document support has been.""Provides a very good sound analysis quotient."

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Cons
"The solution could be more flexible.""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 price of the solution could be lower.""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.""Its machine learning and visualization capabilities can be improved. There should be more visualization options.""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.""Oracle Analytics Cloud is lacking in charts. They should add more charts to it.""At this time, dataflows cannot be shared, but I think that this should be enhanced."

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"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.""Its integration with Microsoft products such as Teams should be improved.""I would like Tableau Prep to be integrated with Tableau Desktop. I would also like more customizations for tables.""Requires a lot of user training.""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 development part should be better. We are putting a lot of effort in during development, so if we face any struggles, we have to find workaround solutions on the internet.""The ability to use it on MAC machines. As far as I know, this is not possible.""The solution does have scalability issues."

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Pricing and Cost Advice
  • "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."
  • "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."
  • "We pay on a monthly basis and it is $10 per user each month."
  • "It is an expensive platform."
  • "I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."
  • "The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."
  • More Oracle Analytics Cloud Pricing and Cost Advice →

  • "For big business, Tableau could be expensive as having a lot of Tableau server users (entering with a browser to reports) could be a bit expensive."
  • "Best advice on pricing is to anticipate the desire for more licenses once the results of this product are acknowledged in other parts of your company."
  • "Paying for users you never setup or buying expensive desktop licenses for users who can solve their users with web editing on the server are the two biggest expenses."
  • "Buy 50 at a time. Project your use base every three months, and project your requirements forward."
  • "Tableau can be costly (but this can be indefinable, such as user experience vs. cheaper etc.)"
  • "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."
  • "The cost is high."
  • "Deployment of dashboards to viewers and unit supervisors can be prohibitively expensive."
  • More Tableau Pricing and Cost Advice →

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    Comparison Review
    Guillermo (Bill) Cabiro
    I do use both Tableau and QlikView. Although very different, I really like both solutions. They belong to the new BI generation known as Interactive Visual Analytics In my opinion, QlikView has a more intuitive interface for regular users or executives that are not technical experts but the development side is a little more complex. Up to version 12 QlikView did not provide drag & drop features. If a user wanted to see something not included in the application the new object had to be created by a power user or developer because Qlikview's scripting has somewhat of a learning curve. On the positive side, QlikView's scripting is a great asset as it functions as an ETL allowing the integration of hundreds of different data sources into the same visual app. Another feature that’s extremely useful is Qlik’s proprietary Associative Model that allows the users to visualize data relationships that exist as well as those that do not. Tableau on the other hand is a lot easier to use for developers, analysts or power users who need to connect, manipulate and visualize data rather quickly. While this makes Tableau a better fit for the more analytical crowd, it may not be as appealing or intuitive to the regular or casual business users as QlikView is. Tableau has full pivot, drag & drop and drill down capabilities that are great for developers or power users. They can rotate measures and dimensions and graph them instantly using visualization best practices as suggested by the… Read more →
    Questions from the Community
    Top Answer: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. OBIEE… more »
    Top Answer:Oracle Analytics Cloud's most valuable feature is its visualization.
    Top Answer:The tool's pricing is not unreasonable or non-competitive.
    Top Answer: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… more »
    Top Answer: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… more »
    Top Answer: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… more »
    Ranking
    6th
    out of 70 in Data Visualization
    Views
    2,809
    Comparisons
    1,576
    Reviews
    15
    Average Words per Review
    416
    Rating
    7.7
    1st
    out of 70 in Data Visualization
    Views
    12,563
    Comparisons
    10,902
    Reviews
    19
    Average Words per Review
    620
    Rating
    8.6
    Comparisons
    Also Known As
    Oracle Analytics Cloud Service, OAC, Oracle Data Visualization, Oracle Data Visualization Cloud Service, ODV
    Tableau Desktop, Tableau Server, Tableau Online
    Learn More
    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."

    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.

    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.
    Top Industries
    REVIEWERS
    Financial Services Firm38%
    Individual & Family Service15%
    Computer Software Company15%
    Transportation Company15%
    VISITORS READING REVIEWS
    Educational Organization28%
    Financial Services Firm10%
    Computer Software Company9%
    Government7%
    REVIEWERS
    Financial Services Firm12%
    Computer Software Company12%
    University7%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Educational Organization34%
    Financial Services Firm11%
    Computer Software Company8%
    Manufacturing Company6%
    Company Size
    REVIEWERS
    Small Business36%
    Midsize Enterprise24%
    Large Enterprise40%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise34%
    Large Enterprise53%
    REVIEWERS
    Small Business32%
    Midsize Enterprise18%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise39%
    Large Enterprise47%
    Buyer's Guide
    Oracle Analytics Cloud vs. Tableau
    March 2024
    Find out what your peers are saying about Oracle Analytics Cloud vs. Tableau and other solutions. Updated: March 2024.
    763,955 professionals have used our research since 2012.

    Oracle Analytics Cloud is ranked 6th in Data Visualization with 16 reviews while Tableau is ranked 1st in Data Visualization with 18 reviews. Oracle Analytics Cloud is rated 8.0, while Tableau is rated 8.4. The top reviewer of Oracle Analytics Cloud writes "Reliable, capable of handling massive amounts of data, and good value for money". On the other hand, the top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". Oracle Analytics Cloud is most compared with Oracle OBIEE, Databricks, Microsoft Power BI, Oracle Business Intelligence Cloud Service and Qlik Sense, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and SAP Analytics Cloud. See our Oracle Analytics Cloud vs. Tableau report.

    See our list of best Data Visualization vendors and best BI (Business Intelligence) Tools vendors.

    We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.