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Microsoft Office Access VS RapidClipse

Compare Microsoft Office Access VS RapidClipse and see what are their differences

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Microsoft Office Access logo 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.

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.
  • Microsoft Office Access Landing page
    Landing page //
    2023-07-21
  • RapidClipse Landing page
    Landing page //
    2022-09-24

Microsoft Office Access videos

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RapidClipse videos

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RapidClipse - Popups / Session Variablen

More videos:

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

Category Popularity

0-100% (relative to Microsoft Office Access and RapidClipse)

Microsoft Office Access

RapidClipse

Databases
100 100%
Databases
0% 0
Project Management
49 49%
Project Management
51% 51
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Development
0 0%
Development
100% 100

User comments

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What are some alternatives?

When comparing Microsoft Office Access and RapidClipse, you can also consider the following products

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

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.

My Visual Database - Using My Visual Database, you can create databases for invoicing, inventory, CRM, or any specific purpose.

Codeless Platforms - Codeless Platforms is a web-based platform that allows you to develop various applications and business processes without any coding and programming.

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

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

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