Oracle Discoverer (discontinued) vs. Tableau Desktop

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.

Incentivized

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).

Incentivized

• Business Intelligence Discoverer helps with our Reporting team. We are able to run reports needed immediately using this tool.
• Business Intelligence Discoverer helps with getting analysis of monthly and yearly medical data from across the state.
• Business Intelligence Discoverer helps with web publishing and sending information to the trading partners.

Incentivized

• The Visualizations graphics are really good and the color options help in designing attractive charts. They help to convey more information and can be made interactive.
• You can add filters with offer you to plug and play with values and understand different outcomes.
• You can drag and drop options while creating charts and dashboards. also it is a very fluid layout.

Incentivized

• It would be useful if users could be allowed to write subqueries.
• It would be helpful if there was a way for users to download the reports on their PC.
• Most of the functionality is awesome and I would like to see more graphics in the reports.

Incentivized

• Formatting the data to work correctly in graphical presentations can be time consuming
• Daily data extracts can run slowly depending on how much data is required and the source of the data
• The desktop version is required for advanced functionality, editing on [the] Tableau server allows only limited features

Incentivized

Because right now its the best option out there (disclosure: I haven't used Qlikview or some of the other direct competitors of Tableau). The big investment is in Tableau Server not desktop. For the cost of the license of Tableau desktop, its a pretty good deal. You can hook it up to pretty much any data source easily. You can easily share the visualizations with your team/colleagues easily. Tableau Desktop is generally easy to use for business users. But the more advanced stuff is better suited for a analyst or someone with a IT/CS background.

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

Incentivized

The Tableau Desktop's support team has been very helpful and tend to response very quickly. After all you have paid very premium price for the product and it goes to the services. This makes using the tool much easier for these who doesn't have such experience to get help quickly.

Incentivized

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

Incentivized

Time needs to be spent ahead of implementation to make sure data sources are set up and ready. Consultants need to understand the data sources and the goals before setting foot on-site. Installation is easy, learning to use it takes time. The training resources available are great.

Incentivized

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.

Incentivized

Tableau Desktop is clearly one of the best in the business. It has incredible capabilities, and many features are extremely useful. The intuitiveness of the dashboards and the graphical nature of the visualizations are widely used features and super helpful. One of the other benefits is that both programmers and non-programmers can equally explore and create their own opportunities, and seamless integration is possible.

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 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.

Incentivized

• Easy to share and manage viewer access on a different level to help identify fraud.
• Faster report generation, increased revenue, better decision-making, and data storytelling.
• One-click access to business health and the ability to build/maintain more effective and efficient reports.
• It's easy to share and even manage access to viewers on a different level, and reports are done in a more visual and storytelling manner.

Incentivized