Active Query Builder vs. Shiny

This is a good framework to use if your project requires frequent database queries. The product is made for both complete amateurs and seasoned experts. Prompt, courteous, and expert assistance; any problems are addressed and fixed without delay. Relatively inexpensive Inadequate, if there are new people involved, delays due to a lack of documentation are likely, and issues with code completion may arise.

Incentivized

Shiny is well suited where an organisation is looking to empower their analysts to minimise time spent on repetitive analysis by deploying repeatable analytical pipelines, but also looking for them to add greater value to the organisation by utilising more advanced analytical techniques. Ideally it is well suited where IT are on board and supportive of some of the more advanced features such as deploying R Shiny dashboards.

Incentivized

• Pull data from SQL even if you do not know SQL.
• Provides clear database information.
• Works with multiple databases at once.
• Data access and security.

Incentivized

• Data tables are appealing to look at.
• Enables us to create trend indexes in an effective way.
• Easy to integrate with the rest of my R syntax.

Incentivized

• Features are good but lacks documentation
• It would be great it were adaptive to Embarcadero/Dev Express Skins that would be very cool
• Modifying SQL code is difficult

Incentivized

• Easier ways to connect to data sources
• Better access control for different roles in the organization
• Video material that allows a better learning experience

Incentivized

I have used Flutter to begin and with flutter you need learn a language called Dart which is not needed with AQB, which is the main reason for us to pick Active Query Builder as a choice over Flutter. AQB supports all the merchant SQL databases with native syntax support, query optimizations and more

Incentivized

- Faster response working with a large amount of data. - R Studio connection and flexibility. - Scenarios modelling.

Incentivized

• better business decisions allow us to maximize revenue for the company
• awesome ROI

Incentivized

• We saw a good involvement to researchers when showing their models in shiny.
• We can have a quicker review from the user when the model is in production.
• False positives can be found easily and they help the retraining of the model.

Incentivized