Oracle Data Visualization Cloud vs. Plotly Chart Studio

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.

Incentivized

[Plotly Chart Studio is] a great tool to make visualizations on a web based portal. For python developers, it can ease of some burden of writing code again and again for the same thing and also refreshing visualizations on old scripts when data changes. All in all, a simple yet effective tool for your report generation and visualization needs[.]

Incentivized

• Providing live dashboards
• Sending scheduled reports
• Intaking data from a variety of sources

Incentivized

• Connects to almost every kind of data source like SQL, Excel, MS Access, flat files and more.
• Charts get saved to the repository and are re-used by multiple users.
• No need of manual intervention in order to refresh the charts every time the data gets changed.

Incentivized

• The only betterment we can do in this application is if oracle provides the method to implement CLOB data which contains audio, videos that will really make the application to the next level.

Incentivized

• Lack of customer support
• Sometimes fails to visualize extremely large datasets ( probably also due to computer resource constraints)

Incentivized

Tableau can be a somewhat difficult product for someone unfamiliar with it. Based on your query, search will produce a very high amount of data, which you then need to sort. Can be cumbersome to work with. Oracle Data Visualization Cloud is easy to use upon initial trial download, point and click, sort very easily, and machine learning really helps by learning various metrics a user takes advantage of in developing various reports, etc.

Incentivized

Incentivized

• Has improved time to value for initiatives
• Saves reporting hours every week
• Eliminates need for dedicated user to prepare and batch reports

Incentivized

• Improvement in productivity as charts can be shared with teams and feedback can be collected, consolidated and incorporated in the design and charts.
• Charts are aligned with the organization theme and colors and one doesn't need to put in effort every time to do that.
• No upfront capital expenditure and minimum user criteria helps the organization to keep the costs down.

Incentivized