Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
    pexels pavel danilyuk 8112119
    Data Analytics Is Revolutionizing Medical Credentialing
    8 Min Read
    data and seo
    Maximize SEO Success with Powerful Data Analytics Insights
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: The Slow Demise of 4GLs
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Warehousing > The Slow Demise of 4GLs
Business IntelligenceData Warehousing

The Slow Demise of 4GLs

DougLautzenheiser
DougLautzenheiser
5 Min Read
SHARE

On a regular basis, web searchers come to my site looking for advice on how to eliminate legacy 4GL applications.

In the late-1970s, some innovative software vendors came out with “fourth-generation computer languages” with the goal of eliminating COBOL, the standard “3GL” of the day. Needless to say, these companies missed their marks.

Three decades later, COBOL is still alive and kicking. Funny thing is, so are some of the 4GLs.

At the time, it seemed pretty obvious that data processing professionals would love to reduce the complexity of building software applications. The 4GL vendors offered programmers the same capabilities as COBOL but in a more succinct and easy language. But COBOL coders gave the vendors the cold shoulder.

More Read

Optimizing Your Content for Your Target Audience
Avoid Screwing Up Predictive Analytic Projects
WebFOCUS Closed-Loop Mobile BI
How AI is Boosting the Customer Support Game
My take on why ETL has not always kept up with the integration workload

When you have a product nobody wants to buy, you become creative.

“Okay,” these 4GL vendors said, “we understand that you want to stick with COBOL. But how about your business users? Users can’t handle power tools like you can. Let’s give them something safe and easy to use — just imagine, they could build their own report programs and leave you alone!”

And so, companies all over the world started giving business users 4GL application development tools for DI…


On a regular basis, web searchers come to my site looking for advice on how to eliminate legacy 4GL applications.

In the late-1970s, some innovative software vendors came out with “fourth-generation computer languages” with the goal of eliminating COBOL, the standard “3GL” of the day. Needless to say, these companies missed their marks.

Three decades later, COBOL is still alive and kicking. Funny thing is, so are some of the 4GLs.

At the time, it seemed pretty obvious that data processing professionals would love to reduce the complexity of building software applications. The 4GL vendors offered programmers the same capabilities as COBOL but in a more succinct and easy language. But COBOL coders gave the vendors the cold shoulder.

When you have a product nobody wants to buy, you become creative.

“Okay,” these 4GL vendors said, “we understand that you want to stick with COBOL. But how about your business users? Users can’t handle power tools like you can. Let’s give them something safe and easy to use — just imagine, they could build their own report programs and leave you alone!”

And so, companies all over the world started giving business users 4GL application development tools for DIY reporting purposes. In the 1980s and 1990s, many organizations researched and selected one of the three major 4GLs: RAMIS, FOCUS, and NOMAD.

Today, firms are trying to figure out how to clean up decades of unmanaged end-user 4GL application development. One of my clients estimated that rewriting the hundreds of 4GL libraries used by their business groups might cost over $4 million USD. Another was shocked to discover somebody had used what management considered to be just a reporting tool to develop a mission-critical shop-floor scheduling application.

I know I personally used 4GLs to write many critical applications that were downright difficult to replace. I am willing to bet that 80% of my American readers have used consumer product goods coupons generated by one of my 4GL applications. Another easy bet is that almost all of the readers have drunk a brand of coffee whose purchasing, quality testing, blending, and inventory processes were managed by 4GL applications.

There are problems with these 4GL applications. First, they were most likely written by somebody who left the company years ago. The code is handed down from one poor soul to another until it becomes unsupportable. If the IT organization turned a blind eye to end-user 4GL development, no standard app dev methodologies were ever followed. To make matters worse, not a single college today teaches 4GL application development to its students. But the major problem today is that business users still depend on 4GL output.

If you are in this situation, I can help by providing software that can inventory and scan your 4GL applications, automatically analyze them for functionality, and even convert them to other BI products. A spreadsheet generated by the scanning process will give us the first step in planning a cost-effective 4GL elimination strategy.

If you are interested in learning how I have helped other companies replace their 4GLs, contact me.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

image fx (2)
Monitoring Data Without Turning into Big Brother
Big Data Exclusive
image fx (71)
The Power of AI for Personalization in Email
Artificial Intelligence Exclusive Marketing
image fx (67)
Improving LinkedIn Ad Strategies with Data Analytics
Analytics Big Data Exclusive Software
big data and remote work
Data Helps Speech-Language Pathologists Deliver Better Results
Analytics Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Hospitality Technology (Or Lack Thereof) – What is the Insight ROI?

3 Min Read

Integrating NoSQL in the Data Warehouse

5 Min Read
Image
Big DataBusiness Intelligence

Focusing on Service and Identity with Big Data

4 Min Read

A startup hopes to tap into the expertise of developing nations…

1 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?