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Clojure
Clojure

715
537
+ 1
887
YAML
YAML

44
29
+ 1
0
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Clojure vs YAML: What are the differences?

What is Clojure? A dynamic programming language that targets the Java Virtual Machine. Clojure is designed to be a general-purpose language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming. Clojure is a compiled language - it compiles directly to JVM bytecode, yet remains completely dynamic. Clojure is a dialect of Lisp, and shares with Lisp the code-as-data philosophy and a powerful macro system.

What is YAML? A straightforward machine parsable data serialization format designed for human readability and interaction. A human-readable data-serialization language. It is commonly used for configuration files, but could be used in many applications where data is being stored or transmitted.

Clojure and YAML can be categorized as "Languages" tools.

Clojure is an open source tool with 7.85K GitHub stars and 1.25K GitHub forks. Here's a link to Clojure's open source repository on GitHub.

According to the StackShare community, Clojure has a broader approval, being mentioned in 95 company stacks & 80 developers stacks; compared to YAML, which is listed in 5 company stacks and 4 developer stacks.

- No public GitHub repository available -

What is Clojure?

Clojure is designed to be a general-purpose language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming. Clojure is a compiled language - it compiles directly to JVM bytecode, yet remains completely dynamic. Clojure is a dialect of Lisp, and shares with Lisp the code-as-data philosophy and a powerful macro system.

What is YAML?

A human-readable data-serialization language. It is commonly used for configuration files, but could be used in many applications where data is being stored or transmitted.
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      What are some alternatives to Clojure and YAML?
      Scala
      Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.
      Haskell
      Common Lisp
      Lisp was originally created as a practical mathematical notation for computer programs, influenced by the notation of Alonzo Church's lambda calculus. It quickly became the favored programming language for artificial intelligence (AI) research. As one of the earliest programming languages, Lisp pioneered many ideas in computer science, including tree data structures, automatic storage management, dynamic typing, conditionals, higher-order functions, recursion, and the self-hosting compiler. [source: wikipedia]
      Elixir
      Elixir leverages the Erlang VM, known for running low-latency, distributed and fault-tolerant systems, while also being successfully used in web development and the embedded software domain.
      Julia
      Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.
      See all alternatives
      Decisions about Clojure and YAML
      Jake Stein
      Jake Stein
      CEO at Stitch · | 13 upvotes · 93.9K views
      atStitchStitch
      Go
      Go
      Clojure
      Clojure
      JavaScript
      JavaScript
      Python
      Python
      Kubernetes
      Kubernetes
      AWS OpsWorks
      AWS OpsWorks
      Amazon EC2
      Amazon EC2
      Amazon Redshift
      Amazon Redshift
      Amazon S3
      Amazon S3
      Amazon RDS
      Amazon RDS

      Stitch is run entirely on AWS. All of our transactional databases are run with Amazon RDS, and we rely on Amazon S3 for data persistence in various stages of our pipeline. Our product integrates with Amazon Redshift as a data destination, and we also use Redshift as an internal data warehouse (powered by Stitch, of course).

      The majority of our services run on stateless Amazon EC2 instances that are managed by AWS OpsWorks. We recently introduced Kubernetes into our infrastructure to run the scheduled jobs that execute Singer code to extract data from various sources. Although we tend to be wary of shiny new toys, Kubernetes has proven to be a good fit for this problem, and its stability, strong community and helpful tooling have made it easy for us to incorporate into our operations.

      While we continue to be happy with Clojure for our internal services, we felt that its relatively narrow adoption could impede Singer's growth. We chose Python both because it is well suited to the task, and it seems to have reached critical mass among data engineers. All that being said, the Singer spec is language agnostic, and integrations and libraries have been developed in JavaScript, Go, and Clojure.

      See more
      C#
      C#
      Java
      Java
      JavaScript
      JavaScript
      ClojureScript
      ClojureScript
      Clojure
      Clojure

      I adopted Clojure and ClojureScript because:

      • it's 1 language, multiple platforms.
      • Simple syntax.
      • Designed to avoid unwanted side effects and bugs.
      • Immutable data-structures.
      • Compact code, very expressive.
      • Source code is data.
      • It has super-flexible macro.
      • Has metadata.
      • Interoperability with JavaScript, Java and C#.
      See more
      Interest over time
      Reviews of Clojure and YAML
      No reviews found
      How developers use Clojure and YAML
      Avatar of Brandon Adams
      Brandon Adams uses ClojureClojure

      Cloure is a high level language that provides access to both the JVM (for server-side development) and javascript (for client-side development) with largely the same language. This is important to limit context switching and enable code-reuse during fast product cycles. Clojure is ideal for rapid prototyping and has a strong focus on stability, correctness, and concurrency. Tools like Schema and Spec enable well-structured development and high code confidence.

      Avatar of Brian Fults
      Brian Fults uses ClojureClojure

      To complement Java. The REPL lets me interactively exercise Java code. I can write performant and safe libraries in Java, and then use them in Clojure. I also find the data-centric aspect of Clojure (excellent build-in structures, literal syntax for easily creating those structures, functions that act well on abstractions of those structures) good for data processing.

      This fits a sweet spot between Ruby and Java.

      Avatar of BandSquare
      BandSquare uses ClojureClojure

      We use Clojure mostly for its "Minority Report"-like interactive development in situations that require 'semi-automatic programming' (data inspection, admin tasks, API exploration, scrapers, etc.). We have also used Clojure successfully to build some components of our stack very quickly and reliably, in the backend and the frontend.

      Avatar of papaver
      papaver uses ClojureClojure

      just started learning clojure, maybe around two weeks or so. i'm addicted. this is what i want to be working with and learning for the foreseeable future. the elegance of the language is refreshing. the community is really amazing. i've finally found a language that fits my passion for programming.

      Avatar of CloudRepo
      CloudRepo uses ClojureClojure

      Clojure simplifies and reduces the coding efforts involved in creating CloudRepo. The fact that it runs in the JVM gives us access to all the libraries that we could ever need. Our code base is much smaller and easier to reason about than it would have been had we gone with pure Java.

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