From what I've seen of Groovy and Grails, its biggest hurdle is adoption. Why else would anyone resist using a language that improves on Java and a framework based on Rails?

Views: 143

Replies to This Discussion

Robert Dempsey said:
What I am looking for is performance comparisons of Groovy/Grails with other frameworks combined with Java such as Spring.

Hello Robert, Have you explored Scala programming? It gives you the short and flexibility of Groovy like expressiveness, but yet has good performance as close as to Java itself! Scala is static typed instead of dynamic though. Check out other post I made few days ago under Other JVM Group on this site see if you like it.
-Z
What needs to be performant and why? Things like Twitter are built on a notoriously slow platform (ie, Ruby on Rails) but it's plenty fast enough.

Grails is obviously slower than Spring MVC since it's built on old versions of Spring MVC and Spring WebFlow. Does it matter? For the vast majority of web sites the answer is trivially simple: No.

Scala is faster and slower than Java depending on what you're doing. Groovy is slower than both, but who cares? It's more than fast enough for what it's used for.

If you really need speed, write in assembly code. If you think that's not reasonable, then ask yourself why you're willing to sacrifice that speed to be able to write in Java. Then apply the same reasoning to why you would program in something like Grails.

Note that I'm not saying that you should use Grails, just that looking at performance without solid reasons *why* is well beyond foolish.
There are some performance issues (For example I have been told my IDE friendly specific typing can cause issues) that make Scala/Java better for some high volume projects. However, for simplicity and readability groovy is a better way to develop, IMHO

Jackie
To answer adoption - Grails is becoming more and more mainstream. Sky.com, Wired, and Walmart (specifically mp3.walmart.com) are some notable sites using Grails.

In benchmarking, yes, Grails is slower. But improvements are being made, both to Groovy and Grails itself.

And benchmarks are generally useless in the real world. Every application is different. Bad code, poor database design, poor technology choices, etc are going to have a far greater impact then the language used.

Where performance is an issue, you can always use Java (or Scala). In fact, much of the Grails framework is in Java, not Groovy. It all comes down to using the right tool for the job.

Also - in the age of distributed computing, I need to ask who cares if there is a 20-30% performance penalty. What does it matter if you need to spool up another VM or two in the cloud?

RSS

Happy 10th year, JCertif!

Notes

Welcome to Codetown!

Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

Vercel Introduces Eve, an Open-Source Framework for Building AI Agents

Vercel has released Eve, an open-source framework for building, deploying, and operating AI agents in production. The framework uses a filesystem-based project structure to organize agent instructions, tools, skills, subagents, communication channels, and scheduled tasks, enabling developers to define agent behavior while reducing the amount of supporting infrastructure they need to implement.

By Daniel Dominguez

Presentation: AI Works, Pull Requests Don’t: How AI Is Breaking the SDLC and What To Do About It

Michael Webster discusses the rise of headless AI agents and their impact on software delivery pipelines. He shares how massive, AI-generated pull requests create a severe bottleneck for human reviewers and introduce persistent technical debt. Learn how engineering leaders can leverage test impact analysis and automated validation pipelines to verify agentic output without sacrificing stability.

By Michael Webster

Argo CD 3.5 Tightens Supply Chain Security with Internal mTLS and Source Integrity

The Argo CD project released a v3.5 release candidate in June 2026. This version adds mutual TLS enforcement for internal components. It also includes Git commit signature verification for supply chain security and native ApplicationSet management in the UI. The release also graduates two significant features: impersonation and Source Hydrator, from alpha to beta.

By Claudio Masolo

Dapr 1.18 Introduces Verifiable Execution, Bringing Cryptographic Trust to AI Agents and Workflows

Diagrid has announced the release of Dapr 1.18, introducing what it calls Verifiable Execution, a new set of capabilities designed to bring cryptographic trust, provenance, and tamper-evident execution records to distributed applications and AI agents.

By Craig Risi

How Cloudflare Solved a Congestion Bug in quiche

Cloudflare has recently shared how they uncovered an issue in their Rust implementation of CUBIC, a congestion controller algorithm, which prevented it from recovering from a scenario of heavy packet loss at the start of a connection.

By Gianmarco Nalin

© 2026   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service