DAML vs Java

Overview

Java

Stacks148.0K

Followers105.5K

Votes3.7K

DAML

Stacks14

Followers30

Votes0

DAML vs Java: What are the differences?

Syntax: One key difference between DAML and Java is the syntax. DAML uses a declarative, domain-specific language tailored for building smart contracts and modeling complex workflows, while Java is an object-oriented, general-purpose language with a more verbose syntax for developing a wide range of applications.
Concurrency: Another significant difference is in how concurrency is handled. DAML has built-in concurrency control mechanisms that prevent race conditions and ensure consistency in distributed systems, making it easier to write scalable and reliable applications. In contrast, Java relies on manual concurrency management using thread synchronization, which can lead to more complex and error-prone code.
Type System: DAML has a sophisticated type system that enables developers to express complex business logic and constraints at compile time, minimizing runtime errors and improving code reliability. Java, on the other hand, has a less expressive type system that requires more boilerplate code to enforce constraints and perform runtime validations.
Interoperability: DAML is designed to seamlessly integrate with existing systems and databases through its flexible integration frameworks and APIs, making it easier to connect and interact with external data sources. Java, while widely used and supported, may require more effort and custom development to achieve the same level of interoperability with external systems.
Smart Contracts: One of the primary focuses of DAML is on smart contract development, with built-in features for creating secure and verifiable contracts that can be deployed on distributed ledgers. Java, although capable of building smart contracts, may lack the specialized tools and libraries that DAML offers for rapid development and deployment of blockchain-based applications.
Tooling: DAML comes with a comprehensive set of development tools, such as a REPL (Read-Eval-Print Loop), a sophisticated debugger, and a powerful IDE (Integrated Development Environment) with advanced code analysis features, helping developers write, test, and deploy applications more efficiently. Java has a rich ecosystem of tools and libraries but may require third-party plugins or extensions for certain development tasks that are natively supported in DAML.

In Summary, DAML offers a more specialized, declarative approach to smart contract development with advanced concurrency control and type systems, while Java provides a more general-purpose, object-oriented language with a larger ecosystem and interoperability options.

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Advice on Java, DAML

Erik

Chief Architect at LiveTiles

May 18, 2020

Decided

C# and .Net were obvious choices for us at LiveTiles given our investment in the Microsoft ecosystem. It enabled us to harness of the .Net framework to build ASP.Net MVC, WebAPI, and Serverless applications very easily. Coupled with the high productivity of Visual Studio, it's the native tongue of Microsoft technology.

614k views614k

Comments

Nick

Building cool things on the internet 🛠️ at Stream

Sep 5, 2019

Review

I work at Stream and I'm immensely proud of what our team is working on here at the company. Most recently, we announced our Android SDK accompanied by an extensive tutorial for Java and Kotlin. The tutorial covers just about everything you need to know when it comes to using our Android SDK for Stream Chat. The Android SDK touches many features offered by Stream Chat – more specifically, typing status, read state, file uploads, threads, reactions, editing messages, and commands. Head over to https://getstream.io/tutorials/android-chat/ and give it a whirl!

176k views176k

Comments

Ido

Mar 6, 2020

Decided

When developing a new blockchain, we as a team chose Go lang over Java and other candidates, due to Go being (a) natively suited to concurrency - there are primitives in the language itself (goroutines, channels) that really help with reasoning about concurrency (b) super fast - build time, running, testing are all much faster that Java, this gives a far superior developer experience (c) shorter and stricter than Java - code is much shorter (less verbose), and there is usually one good way to do things, and even the code formatter that is bundled with Go is very opinionated - over a short time this makes reading other people's code far smoother than having to deal with different styles.

You should be aware that Go presently (v1.13) lacks Generics.

267k views267k

Comments

Detailed Comparison

Java	DAML
Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!	It is an open-source programming language for writing distributed applications quickly, concisely, and correctly. It runs on the leading blockchain platforms which means that you can build your application now and pick which platform works best for you later.
-	Supports existing platforms integration like Hyperledger Fabric, R3’s Corda and Amazon Aurora;Scenario-based Testing; Fine-grained Permissions
Statistics
Stacks 148.0K	Stacks 14
Followers 105.5K	Followers 30
Votes 3.7K	Votes 0
Pros & Cons
Pros 608 Great libraries 446 Widely used 401 Excellent tooling 396 Huge amount of documentation available 334 Large pool of developers available Cons 33 Verbosity 27 NullpointerException 17 Nightmare to Write 16 Overcomplexity is praised in community culture 12 Boiler plate code	No community feedback yet
Integrations
Spring	Hyperledger Fabric PostgreSQL Amazon Aurora

What are some alternatives to Java, DAML?

JavaScript

JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.

Python

Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

PHP

Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.

Ruby

Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming.

Golang

Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.

HTML5

HTML5 is a core technology markup language of the Internet used for structuring and presenting content for the World Wide Web. As of October 2014 this is the final and complete fifth revision of the HTML standard of the World Wide Web Consortium (W3C). The previous version, HTML 4, was standardised in 1997.

C#

C# (pronounced "See Sharp") is a simple, modern, object-oriented, and type-safe programming language. C# has its roots in the C family of languages and will be immediately familiar to C, C++, Java, and JavaScript programmers.

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.

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.

Swift

Writing code is interactive and fun, the syntax is concise yet expressive, and apps run lightning-fast. Swift is ready for your next iOS and OS X project — or for addition into your current app — because Swift code works side-by-side with Objective-C.

Related Comparisons

DAML vs Java: What are the differences?

Syntax: One key difference between DAML and Java is the syntax. DAML uses a declarative, domain-specific language tailored for building smart contracts and modeling complex workflows, while Java is an object-oriented, general-purpose language with a more verbose syntax for developing a wide range of applications.
Concurrency: Another significant difference is in how concurrency is handled. DAML has built-in concurrency control mechanisms that prevent race conditions and ensure consistency in distributed systems, making it easier to write scalable and reliable applications. In contrast, Java relies on manual concurrency management using thread synchronization, which can lead to more complex and error-prone code.
Type System: DAML has a sophisticated type system that enables developers to express complex business logic and constraints at compile time, minimizing runtime errors and improving code reliability. Java, on the other hand, has a less expressive type system that requires more boilerplate code to enforce constraints and perform runtime validations.
Interoperability: DAML is designed to seamlessly integrate with existing systems and databases through its flexible integration frameworks and APIs, making it easier to connect and interact with external data sources. Java, while widely used and supported, may require more effort and custom development to achieve the same level of interoperability with external systems.
Smart Contracts: One of the primary focuses of DAML is on smart contract development, with built-in features for creating secure and verifiable contracts that can be deployed on distributed ledgers. Java, although capable of building smart contracts, may lack the specialized tools and libraries that DAML offers for rapid development and deployment of blockchain-based applications.
Tooling: DAML comes with a comprehensive set of development tools, such as a REPL (Read-Eval-Print Loop), a sophisticated debugger, and a powerful IDE (Integrated Development Environment) with advanced code analysis features, helping developers write, test, and deploy applications more efficiently. Java has a rich ecosystem of tools and libraries but may require third-party plugins or extensions for certain development tasks that are natively supported in DAML.

DAML vs Java

Overview