Oracle's Business Intelligence Discoverer is an ad- hoc query and analysis reporting tool oriented for end users to have easy access to relational and multi-dimensional data. The product is now end of life. The vendor has stated that Discoverer 11g release 11.1.1.7.0 is the terminal release of Discoverer.
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Tableau Server
Score 7.6 out of 10
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Tableau Server allows Tableau Desktop users to publish dashboards to a central server to be shared across their organizations. The product is designed to facilitate collaboration across the organization. It can be deployed on a server in the data center, or it can be deployed on a public cloud.
We have chosen for particular tasks or according to requirements of clients, we are also use this because we are well familiar about this tactics and features too.
Very easy to use and understanding the technology could work well for your organization. Sometimes the majority of the business unit's key stakeholders don't utilize the data for the needs of the business.
BI Discoverer is simpler and lighter. It offers a much lighter option for data access when compared to most other business intelligence tools. However, the features on BI Discoverer are limited and cannot solve deeper analytics requirements. For such use cases, it might be …
Oracle BID was a better alternative than AER for our department. Since we are an Oracle-heavy department, using Oracle software for all tasks, from data storage to reporting was the way to go. BID has proven to be a cheaper, more efficient alternative to AER. It has served its …
Power BI is mostly for visualization and dashboards whereas Discoverer is for lifting heavy reports outputs. Oracle Apex can be used for building reports but not very complex ones. Pivot functionality in apex reports is not all good when it involves multiple nested groupings …
Regarding to Power BI and Business Intelligence Discovery I think the principal difference is Business Intelligence Discovery allow discoverer data from web services and there are a lot of tools for only one purpose, manage data! Regarding to SAP BusinessObjects and Business …
Both produce the same end results for creating reports used by higher management for decision making. The way they are designed and featured, the process is what makes them different.
We selected this tool because it is easy to create an end-user layer which is the repository in the database. The data that is being used is from the datamart which we have built on a daily basis. This tool was selected because it is a web-based and available 24/7.
We have used several products over the years, including Sisense and Tableau. They both stack up well against Business Intelligence Discoverer, however, the costs for us are what split them apart. Feature-wise, there isn't much to separate the products.
Discoverer is more of a departmental BI tool. OBIEE is much more expensive compared to Discoverer. OBIEE needs an ETL and Reporting team to develop reports. OBIEE involves complex modelling of RPD whereas it is much simpler with Discoverer. With Discoverer, it is as simple as …
I did not select Discoverer.....however, I do prefer it to the other tools that I have used for report creation. I do like the mix of GUI and SQL direct code avail. I have mostly used the desktop version, but migrating over to the web based version and starting to build reports …
Tibco Spotfire or SaaS BI are much more flexible and comprehensive, being compared with Business Intelligence Discoverer, they support many ways of scripting and has rich data visualization options, and furthermore, they can be linked with recent popular ML/DL frameworks.
Before our team grew to incorporate more database savvy members, Discoverer was an easy and efficient tool for reporting and analyzing data. As our team added more database members, though, we quickly outgrew the need for a simpler program and expanded into one where we could …
Both Tableau and Argos are newer products and have much improved features. Argos in operation is closer to how Discoverer is. Tableau is a top rated analytics product.
Discoverer was already in place when I joined the company so I was not involved in the selection process. However, I have been involved in the review of Discoverer as compared to alternatives including Business Objects, OBIEE, and SSRS. On a cost benefit analysis Discoverer …
Looker and Tableau are quite similar products. I think Tableau's ability to view data visually is more comprehensive. The different breakdowns in UTM level versus first touch and last touch are shown in a visual format, making it much easier to view and interpret the results. …
Tableau Server can handle a large datasets without any lagging the data or slow updating the data, easily can use all the functions and formulas by using data up-to thousands of entry and easily can present in table, charts and dashboards formats and main thing to store and …
Seemed to be the industry standard with a lot of support. The problem is their own support suck so much that if you use them you can only pray nothing will ever go wrong.
Tableau Server is extremely well suited for a company with a few dedicated analysts creating dashboards and reports for a few stakeholders. It is also great at handling a large number of report viewers, but it is more expensive because you have to pay for each user. We have …
Tableau Server is a world-class product offering ease of integration with a database or third-party service platforms such as SalesForce, Intercom, or Hubspot. Data visualisation and chart capability is excellent. Tableau really helps an organisation connect with its data to …
Tableau server has among the best visualization compared to other similar products. It is in some cases much easier to use when the data is nicely arranged in the required format. It also has a good drill down capability which helps us expand and look for variances and other …
Today, if my shop is largely Microsoft-centric, I would be hard pressed to choose a product other than Power BI. Tableau was the visualization leader for years, but Microsoft has caught up with them in many areas, and surpassed them in some. Its ability to source, transform, …
We selected Tableau Server over other options because of the published feature set and capabilities. It appeared to be far more advanced than its competition. However, it failed to meet expectations. Moving forward we are going to give a more serious look at Google Data Studio …
We used and still are using IBM Cognos for business intelligence purposes. It is good for use as a data infrastructure and analytic framework, rather than a BI toolkit, but Tableau is replacing Cognos fast. We used d3.js for a few proofs of concept visualization and …
Compared to our previous version of software and tool that had been used since the beginning of the company, Tableau is reliable, fast and accurate. Some important features for advanced analytics and data visualization are not available with the previous system. Therefore it …
The choice to use Tableau Server is really made for you if you already have adopted Tableau Desktop. If you're focused on an on-premise solution, Tableau is probably the way that you'll have to go. Looker and Mode are cloud-based (so is Tableau Online) and offer a true …
We find Tableau Server much more flexible and powerful for the developer. The resulting dashboard and interactive charts far surpass those of Business Objects. IBM Cognos is much too restrictive in its ability to present data visualizations in a way that is easily integrated …
There were a lot of reasons why we chose Tableau and the least is the cost but also the way Tableau stores data in the columnar fashion instead of in Cubes. We went through a painstaking selection process and at the end, came down to a couple of vendors and we ended up with the …
We still use Microsoft Excel for much of the lighter, day-to-day pivot tables or calculations. We see Tableau as the future however and are slowly tying more and more of our standard work with Tableau. Smartsheet isn't a 1:1 example, but it was considered for importing …
Tableau is a stable and time tested product which can handle hundreds and thousands of users and a huge amount of content, plus tableau has also introduced a web authoring tool which you can [use to] edit dashboards using your browser.
I did not choose Tableau for my organization, but did choose my organization in part because they use Tableau! Fantastic flexibility combined with relative ease of visualization.
Because our big data project team wants to show highly customized visualization for their complex data and analyzed results, only Tableau Desktop can support this target. After we developed many, many dashboards and other views, we wanted to share it with different users. We …
Discoverer is definitely well suited for a company that is working with a lot of data but does not have a large database knowledgeable team. It allows for basic database management while permitting users to access the data in a simple and efficient way. Reporting is easy to do and, again, does not require a lot of database know-how. If you are looking for more in-depth customization and multiple data sources from various vendors, though, you may want to look into a more robust platform.
Tableau Server is well suited for a data warehouse build and handling big data. Tableau data aggregation, transformation, clustering capability is powerful and easy to implement. The choice of charts and visualisation tools is outstanding. Customisation and dynamic data visualisation capability is superb. The user interface takes some time getting used to.
It's good at doing what it is designed for: accessing visualizations without having to download and open a workbook in Tableau Desktop. The latter would be a very inefficient method for sharing our metrics, so I am glad that we have Tableau Server to serve this function.
Publishing to Tableau Server is quick and easy. Just a few clicks from Tableau Desktop and a few seconds of publishing through an average speed network, and the new visualizations are live!
Seeing details on who has viewed the visualization and when. This is something particularly useful to me for trying to drive adoption of some new pages, so I really appreciate the granularity provided in Tableau Server
While it took little time for our data analysts to crank out visualizations, it did take some time(longer than I expected) for our technology operations team to configure the server to share the sizes.
The server update process is rather cumbersome -- requires a full uninstall/re-install.
Again, while it took our data analysts next to no time to start creating, I've been in other organizations that have struggled with the feature-rich interface and complexity of the Tableau client. So, it requires the right personnel, with dedicated time, to fully leverage the tool.
It simply is used all the time by more and more people. Migrating to something else would involve lots of work and lots of training. The renewal fee being fair, it simply isn't worth migrating to a different tool for now.
User experience is the most important factor to consider whenever considering capabilities for non-technical business users. If the learning curve is so steep business users must be advanced users to be productive, you hit the wall of diminishing returns, this is exceptionally true when it comes to analyzing data. Transforming data analysts into BI development experts shifts the focus of the analyst from analyzing data to mastering software. Tableau does a masterful job at minimizing the technology and maximizing the users understanding of their data.
Our instance of Tableau Server was hosted on premises (I believe all instances are) so if there were any outages it was normally due to scheduled maintenance on our end. If the Tableau server ever went down, a quick restart solved most issues
While there are definitely cases where a user can do things that will make a particular worksheet or dashboard run slowly, overall the performance is extremely fast. The user experience of exploratory analysis particularly shines, there's nothing out there with the polish of Tableau.
I think the folks that work in support are generally pretty good at what they do (when you get them on a WebEx). But the process of reporting issues to them and waiting for a response (via email only) is a hassle. I never understood why you can't just call them up and discuss the issues with them. It would take a handful of email exchanges before they would agree to a WebEx session. That was frustrating.
In our case, they hired a private third party consultant to train our dept. It was extremely boring and felt like it dragged on. Everything I learned was self taught so I was not really paying attention. But I do think that you can easily spend a week on the tool and go over every nook and cranny. We only had the consultant in for a day or two.
The sales consultants do an amazing job of introducing the tool and its capabilities. They are also helpful in explaining the layout of the desktop client and its different functionality. Keep in mind that they use a sample data source (MS Excel) with a very small amount of data to show off what it can do. What you have to remember is that you are buying the tool so that you can connect to large amounts of data (and possibly blend data together from different databases).
Implementation was over the phone with the vendor, and did not go particularly well. Again, think this was our fault as our integration and IT oversight was poor, and we made errors. Would they have happened had a vendor been onsite? Not sure, probably not, but we probably wouldn't have paid for that either
Discoverer is more of a departmental BI tool. OBIEE is much more expensive compared to Discoverer. OBIEE needs an ETL and Reporting team to develop reports. OBIEE involves complex modelling of RPD whereas it is much simpler with Discoverer. With Discoverer, it is as simple as importing database tables, defining joins and running the queries. Discoverer stacks very well on top of ERP systems directly. Users can run reports on ERP tables using Discoverer. To perform similar jobs through OBIEE, one has to either use Noetix or another transactional model.
Looker and Tableau are quite similar products. I think Tableau's ability to view data visually is more comprehensive. The different breakdowns in UTM level versus first touch and last touch are shown in a visual format, making it much easier to view and interpret the results. Tableau also has faster load times compared to Looker for larger datasets.
We have used Discoverer to respond to state sales and use tax audits and saved the company more than the cost of the product. Discoverer has thus assisted in our objective of managing costs.
Discoverer is used to provide reports for EEOC reporting assisting our goal of complying with all government requirements.