Progress OpenEdge RDBMS Valuable Features
DI
reviewer1648848
Vice President Strategic Development at a hospitality company with 1-10 employees
The real-time aspect of the solution is very important to us, as is the ability to uniquely construct the behaviors and the conditions under which customers are allowed to consume things. In real-time, being able to look at what a consumer is buying, how much, when, and when they last bought is crucial to targeting correctly. The ability to do it all at these various endpoints, especially as fuel dispensers, makes it an excellent solution.
It is very customizable and it's intelligent. It modifies behavior based on what is available and who the customer is. If you're a customer, you have coupons and points you'll see certain offers that will be different if you're a Tribal member and you have this other discount available. It will know who you are and it'll present you with the correct options.
The solution is stable.
We find the product to be scalable.
The initial setup is straightforward.
View full review »JO
John ONeill
Principle consultant at Active Data Consulting Services Pty Ltd
I have been working with Progress OpenEdge 4GL and RDBMS for nearly 20 years now. For developing robust, scalable business applications, I have found myself turning to OpenEdge RDBMS and integrated 4GL languages again and again.
Writing business applications in a fourth generation language, such as Progress, allows one to readily adopt rapid application development, DevOps and agile methodologies.
Prototyping can be done quickly. Straightforward English-like syntax makes learning the language fairly straightforward.
Built-in database support makes working with data sets extremely simple.
Another nice feature is being able to port your application to any environment which supports the Progress OpenEdge RDBMS, allowing the application to remain largely platform/OS agnostic.
View full review »JS
JindrichStumpf
Project Manager at Galeos
Current key valuable features would be the SSJ (Server Side Join), and logical partitioning.
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Embedded Database
March 2024
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