My bud Matt Raible blogged about reading a Scala book and I mentioned Stuart Holloway's "Programming Clojure". Matt replied "I like Scala and Groovy and see no compelling reason to learn Clojure. Am I missing something?"

Good question. Eric Lavigne said a few things about Clojure that caught my attention:

"My knowledge of Groovy and Scala are very limited, but here are my impressions relative to Clojure.

Scala seems like a good programming language. Its static typing reduces its flexibility compared to Clojure, but may still be a good deal because it helps with catching errors more quickly. Scala also has been around longer than Clojure, and has used that time to develop more sophisticated libraries than are available for Clojure right now. So why is Clojure still worth learning? Scala gets much of its flexibility from having a lot of features built into the language. Clojure has a small number of language features that are carefully chosen to work well together. The result is a language that is both very flexible and very easy to learn.

One of the design goals of Groovy was to be compatible with Java code, but providing some extra features, just as C++ was designed to be compatible with C. This is a good thing if you have a lot of Java code that you want to migrate, or if you are uncomfortable with learning something new. However, Java is inflexible and overly complicated, and trying to maintain compatibility with Java prevented Groovy from being much better than Java. I quickly lost interest in Groovy so it's possible that I missed something - I would love to hear what advantages Groovy has compared to Scala or Clojure."

There's a Clojure group on the web and this spawned a discussion there entitled "Matt Raible: "Why is Clojure better than Scala or Groovy?"

Let's discuss this! There's a Clojure group... http://www.codetown.us/group/clojure Let's dip our feet in and see what all the talk is about. I'll start a discussion there. You can join in on the discussion: "Why Clojure?" in the Clojure group, where it belongs.


I am going to take another look at Eric's Clojure code that won the CodeTown Coding Contest #1 on Wari. It's a great way to see how things work from a practical perspective. The Compojure web framework is also something I want to see... Stay tuned!

Views: 270

Comment

You need to be a member of Codetown to add comments!

Join Codetown

Comment by Michael Levin on January 19, 2010 at 11:32am
What are some examples where Clojure has fewer issues, Jackie?
Comment by Jackie Gleason on January 19, 2010 at 11:18am
I love Groovy but Clojure does seem to give you a lot of the simplicity with less byte code issues (although scala seems pretty good here). For now, however, I will continue using Groovy :-)

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

Presentation: Foundation Models for Ranking: Challenges, Successes, and Lessons Learned

Moumita Bhattacharya discusses the evolution of Netflix’s ranking systems, from the multi-model architecture to a Unified Contextual Recommender (UniCoRn). She explains how they built a task-agnostic User Foundation Model to capture long-term member preferences. Learn how they solve system challenges like high-throughput inference and the tradeoff between relevance and personalization.

By Moumita Bhattacharya

Swift Cross-Platform Framework Skip Now Fully Open Source

After three years of development, the team behind Skip, a solution designed to create iOS and Android apps from a single Swift/SwiftUI codebase, has announced their decision to make the product completely and open source, in order to foster adoption and community contribution.

By Sergio De Simone

Railway Highlights the Importance of Logs, Metrics, Traces, and Alerts for Diagnosing System Failure

Railway’s engineering team published a comprehensive guide to observability, explaining how developers and SRE teams can use logs, metrics, traces, and alerts together to understand and diagnose production system failures.

By Craig Risi

Google BigQuery Adds SQL-Native Managed Inference for Hugging Face Models

Google has launched SQL-native managed inference for 180,000+ Hugging Face models in BigQuery. The preview release collapses the ML lifecycle into a unified SQL interface, eliminating the need for separate Kubernetes or Vertex AI management. Key features include automated resource governance via endpoint_idle_ttl and secure identity-based execution using existing data warehouse permissions.

By Steef-Jan Wiggers

Google Introduces TranslateGemma Open Models for Multilingual Translation

Google has released TranslateGemma, a set of open translation models based on the Gemma 3 architecture, offering 4B, 12B, and 27B parameter variants designed to support machine translation across 55 languages and to run on platforms ranging from mobile and edge devices to consumer hardware and cloud accelerators.

By Daniel Dominguez

© 2026   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service