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RapidClipse VS Brilliant Database

Compare RapidClipse VS Brilliant Database and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

RapidClipse logo RapidClipse

RapidClipse is a web-based development platform that allows you to build the app with Java and provides you with a hustle-free configuration.

Brilliant Database logo Brilliant Database

Create a personal or business desktop database fast and easily using this simple all-in-one database software. Free 30 day trial.
  • RapidClipse Landing page
    Landing page //
    2022-09-24
  • Brilliant Database Landing page
    Landing page //
    2021-07-24

RapidClipse videos

+ Add

RapidClipse - Popups / Session Variablen

More videos:

  • Review - RapidClipse - Import Northwind DB
  • Review - RapidClipse - Objekte und Entities Teil 2

Brilliant Database videos

+ Add

How to use Brilliant Database Professional

Category Popularity

0-100% (relative to RapidClipse and Brilliant Database)

RapidClipse

Brilliant Database

Project Management
100 100%
Project Management
0% 0
Databases
0 0%
Databases
100% 100
Development
57 57%
Development
43% 43
NoSQL Databases
0 0%
NoSQL Databases
100% 100

User comments

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What are some alternatives?

When comparing RapidClipse and Brilliant Database, you can also consider the following products

Rivery.io - Rivery is a web-based development platform that is used to manage, create, control, and monitor a large number of data pipelines.

Microsoft Office Access - Access is now much more than a way to create desktop databases. It’s an easy-to-use tool for quickly creating browser-based database applications.

Decision.io - Decision.io is an interesting platform that provides you the simple features to develop the app or an integrated workflow without using any program language or code.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

EntelliFusion - Data Fabric

LibreOffice - Base - Base, database, database frontend, LibreOffice, ODF, Open Standards, SQL, ODBC

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