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 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)
Tableau Prep
Score 7.1 out of 10
N/A
Tableau Prep enables users to get to the analysis phase faster by helping them quickly combine, shape, and clean their data. According to the vendor, a direct and visual experience helps provide users with a deeper understanding of their data, smart features make data preparation simple, and integration with the Tableau analytical workflow allows for faster speed to insight. Tableau Prep allows users to connect to data on-premises or in the cloud, whether it’s a database or a…
$15
per month billed annually per user
Pricing
Oracle Analytics
Tableau Desktop
Tableau Prep
Editions & Modules
No answers on this topic
Tableau Creator License
$115
per month (billed annually) per user
Viewer
$15
per month billed annually per user
Explorer
$42
per month billed annually per user
Creator
$70
per month billed annually per user
Offerings
Pricing Offerings
Oracle Analytics
Tableau Desktop
Tableau Prep
Free Trial
No
No
No
Free/Freemium Version
No
Yes
No
Premium Consulting/Integration Services
No
Yes
No
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
Must contact sales team for pricing.
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 …
When we first looked at getting a visualization software for analytics we looked into two options Microsoft Power BI and Tableau Desktop, and even though Power BI is more cost-effective we decided to go with Tableau Desktop as it had more options that we are looking for such as …
Before Prep, we had to do all the data joining and connecting in a Tableau Workbook. Not only did this cause workbooks connected with live data to run frustratingly slowly, a new connection and set-up had to be established every time a new workbook as created, even if you were …
We use both Tableau Prep and Alteryx and, although Tableau Prep integrates better with Tableau Desktop, I find that more often then not I open up Alteryx to do most of my data prep prior to bringing my data into analysis as it is just so much more robust. Not that this makes Tab…
Tableau Prep is covered in our license whereas Alteryx required additional fees and a separate license. Tableau Prep is similar to Tableau Desktop which a lot of our team is comfortable with so it wasn't difficult to get a feel for Tableau Prep. However, Alteryx would have been …
Tableau Prep is a good tool to use in tandem with Tableau. You can use Tableau by just plugging in an excel sheet or other form of dataset, but the tools that Tableau Prep has specifically makes the data set work better with Tableau. The extra time to optimize is worth it.
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.
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).
If your data sets are coming in without much stewardship then Tableau Prep can help to clean the data before you start trying to create visualizations for your end users. You will save a lot of time this way - rather than seeing problems once you are creating dashboards. If you don't have large data sets or your data is relatively simple, then Tableau Prep may not be needed.
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.
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.
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.
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.
I have not really had to reach out for any kind of customer support for Tableau Prep, so I can't really say. However, the support that Tableau has given for their other products has been great, so I would assume it would be the same here. They are also constantly adding new features and providing software updates, and that is always a plus.
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.
Live connections to cloud services (Google Sheets for example) and cloud hosted databases (cloud hosted SIS for example) for scheduled flows are not supported
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.
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.
Before Prep, we had to do all the data joining and connecting in a Tableau Workbook. Not only did this cause workbooks connected with live data to run frustratingly slowly, a new connection and set-up had to be established every time a new workbook as created, even if you were working with the same data. The extracts produced by Prep allow several workbooks to be working from the same data set-up without any additional work, saving time and stress.
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.