Oracle Analytics is a solution used to visually explore data to create and share compelling stories. Oracle Analytics Cloud is a cloud native service, and Oracle Analytics Server is the on-premise option.
N/A
Tableau Cloud
Score 8.0 out of 10
N/A
Tableau Cloud (formerly Tableau Online) is a self-service analytics platform that is fully hosted in the cloud. Tableau Cloud enables users to publish dashboards and invite colleagues to explore hidden opportunities with interactive visualizations and accurate data, from any browser or mobile device.
$15
per month per user
Tableau Desktop
Score 8.4 out of 10
N/A
Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.
$1,380
per year (purchased via a Creator license)
Pricing
Oracle Analytics
Tableau Cloud
Tableau Desktop
Editions & Modules
No answers on this topic
Tableau Viewer
$15
per month billed annually per user
Enterprise Viewer
$35
per month billed annually per user
Tableau Explorer
$42
per month billed annually per user
Enterprise Explorer
$70
per month billed annually per user
Tableau Creator
$75
per month billed annually per user
Enterprise Creator
$115
per month billed annually per user
Tableau+
Contact Sales
Tableau Creator License
$115
per month (billed annually) per user
Offerings
Pricing Offerings
Oracle Analytics
Tableau Cloud
Tableau Desktop
Free Trial
No
No
No
Free/Freemium Version
No
No
Yes
Premium Consulting/Integration Services
No
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
Must contact sales team for pricing.
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All pricing plans are billed annually. A Creator license includes Tableau Desktop, Tableau Prep Builder, and Tableau Pulse. Discounts sometimes available for volume.
Oracle BI is similar to MicroStrategy in their difficulty of implementation and need for technical resources for ongoing management and administration. Both are well-suited for very large corporations with extensive data processing requirements. More modern BI tools such as Tabl…
Business Objects was considered in places where the organization is using an SAP-based transactional system. Looker again becomes the advantage where you are going to build a totally new customized data warehouse model since it allows you to better reduce some extent of the ETL …
I think Oracle Analytics Server does a pretty good job against its competitors and, in fact, may surpass them in many areas. The cost is just a limitation, especially for small—to medium-sized organizations. The user interface and visuals are a win. Another limitation is the …
With respect to the above mentioned tools the Oracle BI provides excellent semantic layer(BMM) layer which is very effective in creating complex measures for various financial reporting solutions and also other use cases. The delivery options are great too. Only drawback is …
We use Oracle BI and native connection with them. And since it has not been used for a long time, it is very costly to put the reports into a different application.
Oracle stacks up very well against these tools. It is highly customizable with data being available from multiple sources with ease. SQL queries make it very easily customizable. The UI part can be crispier and smoother which is slightly better in the other software. I'd still …
Oracle BI works pretty well and has been well acknowledged and appreciated by the business users and power users who develop reports and dashboards. Compared to other tools, Oracle BI object development is easier and has a quick turnout. Using Oracle BI with Essbase and Oracle …
SAP Business Object license is not cheap and was a bigger pain for the client to implement and adapt a new tool. QlikView is mainly used for dashboards and is not the best fit for reporting and ad-hoc reports. Since the client was using an Oracle tool set for their application …
Compared to Microsoft BI, Oracle BI has got good data modeling, adhoc reporting, scheduling and some rich visualization capabilities which definitely made us to choose Oracle BI against Microsoft BI.
Tableau BI is a very simple and easy tool to implement and helps business users …
I have used SQL Server, SAS deployed over the web, SPSS, Tableau and Salesforce. Each has their own positives and negatives. I was not directly involved in the selection process, but have participated as a BI representative using the tools. OBI is less complicated than SAS, but …
Business Objects - OBIEE is more stable - BO was always going down, OBIEE has a superior metadata layer
Tableau is nice to have as a compliment to OBIEE, but it could never take its place. It is not scalable and the report builders need to have a greater understanding of the …
I feel like Tableau is easier to use compared with the SAP Business Objects. Both have a bit of a learning curve but I felt that Tableau Online was still more intuitive and user friendly. Tableau Desktop is a powerhouse. It has a very steep learning curve but once you master …
Tableau Online is much simpler than other Business Intelligence tools such as SAS and SAP Lumira. While SAS allows you to create algorithms to display a set, Tableau Online provides a more friendly user interface for ease of access. Although it does not stack up too well with …
From an analyst point of view, Tableau is the most intuitive tool and it's really easy to use. It's simply the most convenient product and gives the biggest possibilities. Of course, it's more expensive and not all features are necessary for some users. I have chosen Tableau …
Tableau Online is much better at presenting and visualizing and manipulating your data. While Host Analytics is second to none in data consolidation, Tableau has much greater flexibility in exploring that data.
Tableau Desktop is great because it has much more extensive capabilities. Tableau Prep is great for ETL. It makes it easy to aggregate multiple data sources, union, clean, etc. It is easy to QA within Prep, and takes a lot of the guesswork out of troubleshooting issues with …
Like previously mentioned, Online and Desktop were eventually rolled together to be one offering the last time I checked. If you'll be sharing reports with other Tableau users then Desktop would be just fine.
Looker ended up as the winning product due to its easy to use and flexibility. It's easy for nontechnical stakeholders to learn how to create their Explores. But Tableau gives us more flexibility in creating highly customized visualizations so analysts still rely on it.
When weighing the pros and cons of Tableau Online vs. SAP ERP, two key considerations emerged as clear winners. SAP ERP is a powerful data purification tool, but it doesn't measure up to the competition in terms of data presentation. When it came to data visualization and …
Sisense offers a powerful backend database, Elasticube that integrates well with Web Service data sources. Tableau enables better visualization flexibility and functionality without having to write javascript.
Both Tableau Online and BI solutions provide visualizations. In Power BI we choose the visualization first, then drag the data into it. In Tableau, we select the data and switch between visualizations on the fly. It’s easier to jump between visualizations in Tableau. Power BI …
Verified User
Analyst
Chose Tableau Cloud
I think Tableau is better for a bigger firm with more data than MicroStrategy is. While MicroStrategy seems to be more user-friendly in terms of customization on the fly, and I find it a bit better organized - which is simply my preference of organizational style - my …
With Tableau Desktop, it's easy to create a report in the
context quickly. It allows for the seamless management of the data sources,
which is convenient for the data users. Because it is simple to use, it is
Verified User
Analyst
Chose Tableau Desktop
The online and public versions are only good for the hobbyist because they are not secure enough for most business applications. Dapresy is a marketing tool that is supposed to give executives a snapshot of marketing results. It's not very customizable and the results are …
We were interested in expedience at reasonable cost and so didn't do any sort of bakeoff, but tried Tableau first as a potential solution for moving beyond Excel for large scale data analytics. We picked it because it more than met our functional needs at a very reasonable …
Verified User
Analyst
Chose Tableau Desktop
I feel like Tableau is easier to use and offers a greater selection of visualizations. I feel that the dashboards are easier to put together and offer a great amount of flexibility for the end-user. Tableau has an excellent user support group. I find the community to be …
My current work environment uses both Tableau Online, MicroStrategy & SSRS in parallel. Tableau is much closer to the SSRS in terms of visualization tool where as MicroStrategy is an enterprise data modeling and reporting tool.
Based on the use case we use different tools. Here …
Cass evaluated Domo, QlikView and Birst prior to selecting Tableau. It came down to cost (and by a significant margin); the others have relatively high implementation, hosting and other costs. Additionally, based on a recent Gartner "Magic Quadrant", Tableau exceeds all others …
Oracle Data Visualization is very effective if used in an enterprise context with huge volumes of data coming from different systems. It supports dashboard and reporting capabilities and is easy to scale. It also allows you to leverage machine learning capabilities to extract hidden data trends. Visualization capabilities are powerful but not so various if compared to other solutions on the market. If you want to present a dashboard to an executive audience and you want to make your dashboards beautiful you must adapt them through PowerPoint.
If you're using Tableau as the primary BI tool, then Tableau Cloud is well suited to publish and share the results with a wide(r) audience. It is well suited for various degrees of self-service proficiency, from pure consumers of analytical work to more advanced users who can use web editing for smaller or larger adjustments, and even for desktop power users who will publish their work to Tableau Cloud. It has many good ways to organize the content and make it easily accessible via search, favorites, folders, collections ("playlists for your data"), or history ("recents"). It might not be ideally suited if there are many on-prem sources to be used (even though there are options to connect them) or if you have very special requirements regarding custom server setup, which is limited in a shared cloud environment like Tableau Cloud.
The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).
Available without of the box connectors for Salesforce and oracle Saas Cloud. This is a huge plus for our business since we don't need another middleware solution just for this sake.
We are able to connect to our on-prem SQL Server database where we have our RMA database and other applications seamlessly without writing custom APIs.
OAC writes directly into ADW which is another advantage for loading Excel files into ADW after dataflow transformations.
OAC allows replication of the database from fusion ERP and lets us create subject areas using the data modeler.
Tableau Online is completely cloud based and that's why the reports and dashboards are accessible even on the go. One doesn't always need to access the office laptop to access the reports.
The visualizations are interactive and one can quickly change the level at which they want to view the information. For example, one person might be more interested in looking at the country level performances rather than client level. This is intuitive and one doesn't need to create multiple reports for the same.
The feature to ask questions in plain vanilla English language is great and helpful. For quick adhoc fact checks one can simply type what they are looking for and the Natural Language Programming algorithms under the hood parse the query, interpret it and then fetch the results accordingly in a visual form.
An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.
Scalability and rich integration capabilities. In the future, if we go with Hyperion for the Financial Consolidation and planning purposes -BI integration with Hyperion is going to be much simpler as it has native interface connectivity and even integration capabilities with well known CRM products (Siebel) and ERP Products (Oracle EBS, Peoplesoft, SAP) is going to be easy and straight forward.
Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.
Great, if you are limited to using it along with other Oracle products; sadly, not if you are integrating with other products, which can be a challenge. It is a great product with tons of functionality and great integration with other in-house platforms. Great visuals and customization for data and analytics to provide decision-making data and analysis.
Based on comments from our clients, I awarded it this grade. Non-technical customers frequently compliment us on the ease with which they can utilize Tableau Online. Usability is rarely a source of contention amongst our customers. Few complaints have come from me as a user of our internal products.
Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.
When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.
Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast
Oracle Analytics Support team is very proactive and I have never had a situation where I had to wait for more than a day or two to get my issues resolved. This is a very big help for us and we appreciate Oracle and its team for guaranteeing that experience.
I have not had any issues that require customer support from Tableau at this time, which speaks well to Tableau. I have taken an online course with Tableau and it was very professional and well done, so based on that I would assume a similar level of quality for their customer service.
Tableau support has been extremely responsive and willing to help with all of our requests. They have assisted with creating advanced analysis and many different types of custom icons, data formatting, formulas, and actions embedded into graphs. Tableau offers a weekly presentation of features and assists with internal company projects.
It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.
I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems
A properly implemented Endeca solution performs extremely well on the largest of datasets and it positions your organization to immediately achieve your ROI.
Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.
Oracle Analytics Cloud, is one of the most agile and secure data analysis platforms that according to the budget and the amount of use, you can use the resources you need under the cloud. The Oracle brand is also very well known in this field and can meet all the needs of an organization or industry in any sector.
In determining whether to go with Tableau Online versus Alteryx, two important factors stood out in determining our go-to solution. First, while Alteryx is an impressive tool for data cleansing, it did not stack up in terms of data visualization capabilities. Tableau, on the other hand, provided us everything we needed in terms of visualizing our data and analytics. The second factor is cost. Well neither solution would be considered cheap, Tableau was the more cost effective solution for our needs.
I have used Power BI as well, the pricing is better, and also training costs or certifications are not that high. Since there is python integration in Power BI where I can use data cleaning and visualizing libraries and also some machine learning models. I can import my python scripts and create a visualization on processed data.
We have seen the results of this in our initial research and are not surprised that Oracle does this like it does soo many other things in this area, so well.
Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.
We've used OBIEE (or it's previous named product) for over 13 years and it's still the most used tool for BI by the business.
We moved our largest business system off of Business Object into OBI so we could gain improved performance, reliability, and easier management of metadata.
Tableau was acquired years ago, and has provided good value with the content created.
Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.