Node.js Vs Java- Which Is Best For Mobile App Development?

 

Selecting the best technology for app development is a crucial task as it drives apps towards success. Node.js and Java are two popular technologies in the app development world. Node.js was written by Ryan Dahi in 2009. Let’s first clear that, Node.js is not a programming language, also it is not a framework. It is an open-source, cross-platform Javascript run time environment which executes Javascript code outside of the browser. It is also used to build back-end services(APIs). Whereas, Java is one of the most adopted programming languages in the world. Then which one to choose for app development in 2021? To answer this question, here we’ll compare Node.js vs Java on the basis of various parameters. But before digging to the comparison, let us see overview of Node.js and Java.

What Is Node.js?

Node.js is a server-side, Javascript-based runtime environment. It attributes its success as a high-performance, scalable framework to the single-threaded process used for web loads and also async programming. Also, you can use Node.js based frameworks like Express, Socket.io and Meteor.js within it to improve the backend capability of a project. It is designed with real-time and push-based architectures to build single page apps, websites and backend API services.

One can use Node.js to build microservices, iot based apps, streaming web apps, real-time software & streaming apps, complex single-page apps, backends and servers, scripting and automation etc.

Know the role of Node.js in iot app development at- Role of Node.js in Internet of things (IOT)

Twitter, Netflix, Trello are some of the most popular apps developed with Node.js.

What Is Java?

Java is a popular programming language which promotes the use of object-oriented concepts after C++. It works with “write once and run anywhere(WORA)” principle means the code can run on all the platforms that support Java without need of recompilation.  Java is a secure, stable an flexible programming language so a perfect solution for banking, eCommerce, FinTech and transportation services. 

One can use Java for android app development, web app development, game development, software tools, test automation. Scientific apps, enterprise applications, embedded systems, app servers/web servers, big data technologies, Banking and FinTech applications and so on.

Ebay, google docs, Spotify, netflix are some of the popular apps built with Java.

Node.js Vs Java-

1. Architecture-

Node.js-

Node.js uses a single-threaded Event loop architecture which allows it to handle multiple concurrent requests with high performance. It also allows you to make use of MVC/MVP architecture pattern, that eases isolating and onboarding issues in the app codebase. Also, it creates multiple views for the same data and supports asynchronous communication between various components.

Java-

Developers prefer MVC(Model-View-Controller) pattern to build apps with Java where Model represents objects in Java, and design pattern resembles the internal architecture of language. It advances simple code  maintenance and trouble-free testing of apps. Developers can classify individual roles and work on various functionalities in large apps. Hence the changes that are made in one module don’t affect the whole application. It improves productivity of development teams and results in faster time to market applications.

2. Scalability-

Node.js-

It builds highly scalable applications. Non-blocking I/O and event-driven models manages multiple concurrent requests. Also, event-loop mechanism enables the server to process a maximum number of requests. It’d be ideal if the numerous services are distributed to separate work servers, it expands Nodejs’ effectiveness and scalability. So different development teams can segregate tasks and rapidly develop apps scalably.

Java-

Java is scalable and this makes it best to perform for enterprise apps. Also it is important to implement best practices like vertical scalability to add more computational resources like CPUs and RAM. EJB(Enterprise Java beans) that is known as development architecture is used to build highly scalable and robust enterprise-level apps in Java. The EJB architecture is accompanied by application server that facilitates the processing of numerous requests. Along these, it offers good scalability. Also, enterprise based applications use an event-driven architecture that encourages module separation for various functions and centrally controls input data. It is best to build complex functionalities and implement high-scalability in the projects. Projects that involve adding new functionalities adopt this design pattern.

3. Thread Control-

Nodejs-

With Nodejs, you can write few lines of code and get simple web server. It is not easy to implement but there are some frameworks that allow you to solve similar problems.

Java-

Java has developed concurrent api that allows you to work with competitive streams. But at the same time, problem with concurrency is that it is a difficult thing that not every developer understands well enough to be able to implement. Sometimes, Web- REST API of node.js is used for that. Whereas if we are dealing with complex calculations, it’s better to go with Java. 

4. Performance-

Node.js-

It inherits the asynchronous and non-blocking from Javascript, so creates a perfect environment for small tasks that don’t affect main app thread. Also, apps built in Nodejs perform best because of multitasking and V8 Javascript engine. Node.js’s event-driven architecture allows efficient multi-tasking that improves app performance. Framework processes multiple requests simultaneously compared to other backend solutions.   

Java-

Java programs are written as byte codes. Means java performs better and faster than other programming languages. Virtual machines easily interpret these byte-code instructions and deliver faster and efficient app. JVM is optimized to provide an efficient code interpretation in its new versions. Java introduced elements like just-in-time compiler to deliver high-performing applications.

5. Testing-

Nodejs-

Nodejs provides competent testing and debugging capabilities with its rich ecosystem of third-party packages. Automated tools and frameworks such as Jest, Mocha, Lab and code, jasmine and AVA create a sound testing ecosystem for Nodejs applications. Also, you can make use of testing libraries like Mocha, Jest and Chai to provide seamless experience. 

Java-

It allows developers to write test cases so team members can write flexible tests with grouping, sequencing and data-driven features. It eases the writing of parallel tests and also supports multiple testing frameworks and tools like JUnit, Selenium, TestNG, Apache JMeter and FitNess. Java provides compatibility and support to some popular IDEs and builds tools like IntelliJ, IDEA, Eclipse, NetBeans, Maven an dso on.

6. Specificities-

Node.js-

• It is easy to get started
• Best for prototyping and agile development
• Can apply to build superfast and highly scalable services
• Uses largest ecosystem of open-source libraries available to anyone
• Node.js doubles the number of requests served per second while decreasing the average response time by 35%
• With PayPal changes, Node uses 33% of few lines of code and 40% of fewer files as compared to previous Java-based application

Java-

• Supported by all devices and OS that exist today
• Shows better result in its performance, gradually improved by each update.
• Includes libraries to reduce workload. It is a set of precoded classes and methods, that solve particular problems.
• Robustness- ‘Robust code’ means your program manages all possibilities of error. Java has strong memory allocation and automatic garbage collection mechanism. It provides powerful exception handling and type-checking mechanism as compared to other programming languages
• Has built-in security features enforced by Java compiler and virtual machine that make Java the best language for enterprise, financial, scientific and web development.
• It is good at integration- there are specifications and implementations for integrating with many system types that you’re likely to run into in an “enterprise” environment.

7. Community-

Node.js-

It has a robust community and as per report, 51.4% of professional developers use Nodejs for frameworks, libraries, and tools. Compaies like Amazon, Facebook and Google have made contributions to the Nodejs environment and this makes technology more credible. Dev.to, Github, Stackoverflow, Nodebb, reddit are some of the Nodejs community forums.

Java-

It has a strong community support for issues and complex queries. Huge community means frequent updates, bug squashing and innovation. In terms of active software developer community, Java is in a list of top three programming languages.

Final Words-

Selecting the best one between Node.js or Java is a tough decision even for skilled development teams. So, here we came with a short conclusion according to the requirements.

When To Choose Node.js?

• Choose Node.js when you want to build a web app to stream content.
• When you have to build a performant single-page app, web app with efficient data processing capabilities.
• If you want to build real-time multi-user web app
• You want to create browser-based game app

When To Choose Java?

• When you want to build enterprise apps, highly scalable apps, ecommerce and big data apps
• You want to build cryptocurrency app with advanced security features
• Want to use a matured framework with rich community support

Top 5 Technologies To Build Microservices Architecture

Microservices are achieving popularity in the market as organizations move in the direction of building complex and larger applications that can be segregated and handled as a compilation of smaller services. There has been an increasing number of people hoping to upgrade their traditional monolithic systems into a sequence of single independent microservices. The basic question that strikes your mind is, Which is the best language to be used while developing microservices for your next project?

You can use different technologies dependent on what best serves the purpose of your microservices. Here we will see some programming languages that have the features and libraries, which will help you in getting your job done. But before that, let us see, what is microservices architecture?

You can also know- Microservices vs. Monoliths: What’s the Right Architecture for your Software?

What is Microservices Architecture?

Microservices architecture is a development methodology wherein you can fragment a single application into smaller services, each one executing in its own process and interacting with lightweight mechanism. The microservices are developed around business capabilities, which are independently deployable with automated deployment mechanism. The microservices architecture needs an absolute minimum of the management of these services, built-in various programming languages and uses various data storage technologies.

Reasons to Migrate to Microservices Architecture-

• In a monolithic architecture, for a large application, it is difficult to penetrate the complexity and tough to deal with the code.
• Applications require broad manual testing so as to grasp the effect of alteration.
• The whole application requires to be deployed again even for a small change.
• Large applications with monolithic architecture can slow down the start-up time.

Benefits of Microservices-

1. Easier Process Adoption–

With a microservices architecture, new technology, and process adoption become easy.

2. Small Modules–

It is simple for developers to develop and maintain because the application is broken into smaller parts.

3. Independent Scaling –

Every module in microservices can scale freely through-

                  -X-axis scaling – by cloning with more memory Or CPU

                  -Z-axis scaling – by size using sharding

4. DURS –

Each service in microservices architecture can be autonomously DURS (Deployed, Updated, Replaced and Scaled)

5. Unaffected-

Even the failure of a single module won’t influence the rest of the app.

Microservices ensure increased the autonomy of development teams (speed to market), better fault isolation (reliability), reusability and scalability.

Criteria for Choosing a Technology for Microservices-

With microservices, you can build a reliable platform to enhance the business while exploiting the advantages of various languages. You can use various technologies or languages for various services, but it doesn’t mean it is effective.

The microservices architecture accompanies many operational overhead; thus including a diverse programming language on top of that can exponentially raise that performance overhead. To decrease that, you should standardize your microservices tech stack by selecting the programming language according to your business needs. Let’s see the criteria to evaluate the programming language for microservices development:

• Highly observable
• Support for automation
• Consumer-first approach
• Independent deployment
• Modeled around business domain
• Decentralization of components
• Support for continuous integration

Top 5 Technologies for Microservices-

Microservices can be implemented with a group of frameworks, versions, and tools. Java, Python, C++, Node JS, and .Net some of them. Let us know about the languages that support microservices development in detail:

Read more at- https://solaceinfotech.com/blog/top-5-technologies-to-build-microservices-architecture/

Amazing Java Frameworks For 2020 That You Can’t Miss

Java is one of the most well known programming languages. In near future, there is little chance for some other language to replace Java, not at least in 2019. Also the same goes for the Java Frameworks. There are three main frameworks that java developers mostly used- Spring, JSF, and GWT . However, this doesn’t imply that other frameworks are not popular.

The selection of framework generally relies on the project type, it is important for the Java development companies and developers to analyze the project prerequisites and future needs carefully.

For instance, developers use Spark Framework mostly for developing lightweight web applications in Java 8. Whereas Spring is used for building complex, enterprise- level Java applications, and microservices projects. To ease out the selection for you, here we are providing a list of 7 7 best Java frameworks with the details of their upsides and downsides, alongside what project type they are appropriate for.

Know the comparison Python vs Java at- Python vs Java : Know the difference.

Top 6 Java Frameworks for 2020-

1. Spring Framework-

This framework is ranked as first because it has a great capability to develop complex web applications that are acclaimed for high performance. It allows Java developers to develop enterprise level applications more easily. Its DI-dependency injection feature and compatibility with various frameworks, for example, Kotlin and Groovy make it Java developers’ top choice.

Spring Framework uses inversion of control (IoC) design principle. Hence it is easy for developers to focus a module on the task and free the modules from the assumptions and make programs extensible. It has various modules to achieve different functionality in an application, for example, Spring core (Base module), Spring AOP (for cross-context logic), Spring Transaction (For transaction support), Spring MVC (Web aspect), and more.

When to use?

You can develop the following types of applications with Spring framework.

• Enterprise Java (JEE)
• Web application development
• Distributed application
• Core features can be used for creating any Java applications
• All layer implementations of a real-time application

Advantages-

• Supports traditional database RDBMS and also new NoSQL.
• Provides backward compatibility and testability of code
• Supports Aspect Oriented Programming and enables cohesive development
• JBDC abstraction layer for exceptional hierarchy

Disadvantages-

• Steep learning curve.
• Most of the developers need to struggle with IoC and Dependency Injection
• Although Dependency Injection is one of its strengths, it makes the project dependent on Spring framework

2. Grails-

This open-source framework is popular for Enterprise Java Beans. It can be used for developing scalable and robust applications for content management systems, Restful web services, and e-commerce sites. It can coordinate with other Java technologies like Java Spring, Hibernate, quartz, EE containers, and SiteMesh. Some of its advantages are- simple GORM, flexible profiles, advanced plugin system, with multiple plugins, simple object mapping library, and a supportive and responsive community.

When to use?

You can use this framework for developing-

• Content management systems
• e-Commerce sites
• RESTful web services

Advantages-

• Easy to use object mapping library
• Simple GORM
• A controller layer built on Spring Boot
• Flexible profiles
• Embedded Tomcat container for on the fly reloading
• Advanced plugin system featuring hundreds of plugins

Limitations-

•  Complex integration process
• Not the best choice for multi-threaded app
• Runtime language and so error-prone
• Must learn Groovy language

3. Blade-

Any custom application developer can easily adapt this framework in a single day. Java Blade was introduced in 2015 and known for its simplicity and light-weight. The most brilliant feature of this structure is its ability to develop web applications rapidly. It is a full-stack web development framework which provides a simple and clean coding structure. This framework is based on Java 8 which gives a RESTful-style routing interface. It supports webjar resources and plug-in extensions.

When to Use?

• Full- stack web framework for creating web applications rapidly

Advantages-

• Multiple configuration files support
• Has clear coding structure
• CSRF (Cross-Site Request Forgery) and XSS (Cross-site scripting) defense support
• Support for plug-in extensions and webjar resources

Limitations-

• Complex dependency engine
• Lack mobile-app richness
• Heavy documentation

4. Google Web Toolkit-

GWT is open-source framework that allows developers to write client- side Java code and deploy it as JavaScript. Many Google products have been written using GWT, for example, AdSense, AdWords, Google Wallet, and Blogger. By using this framework, developers can easily write complex browser applications rapidly. GWT allows developers to develop and debug Ajax applications in the Java language. During deployment, its cross-compilers translate the Java Applications to standalone JavaScript files. It accompanies numerous features, for example, cross-browser portability, internationalization, bookmarking, and history and management.

When to use?

• For Building progressive web apps
• Creating and maintaining complex JavaScript front-end applications

Advantages-

• This framework supports reusable approach for common web development tasks
• Support for full- featured Java debugging
• Developer-friendly RPC mechanism
• HTML Canvas support provided
• Developers can design applications in a pure object-oriented manner

Limitations-

• Compilation of Java to JavaScript is slow
• Need to write more code even for simple things
• Best suitable only for Java developers

5. Java Server Faces-

This java framework was developed by Oracle. This framework tends to be utilized for creating enterprise applications, native applications, and web application development. It gives a major advantage of connecting the presentation layer with the application code effectively.

It provides an API set that is used to represent and manage UI components. This framework has a clear architecture that recognizes application logic and representation. Rather than using Java, JSF uses XML for view handling.

When to use?

It can be used to build-

• native applications
• Web applications and also
• Enterprise applications

Advantages-

• It creates custom tags to a particular client device
• Connect the presentation layer to the application code easily
• Build user interfaces of reusable components
• Use XML instead of Java for view handling

Limitations-

• Incompatibility with standard Java technologies
• Complex to perform simple tasks
• Lack of flexibility
• Minimum Ajax support
• Steep learning curve

6. Play-

Top companies like Samsung, LinkedIn, Verizon, The Guardian and so on uses this framework. It uses an asynchronous model that allows statelessness principle hence play framework offers speed, performance and scalability. This framework is Based on Akka Toolkit. Play framework compress the production of simultaneous and distributed applications on the Java Virtual Machine. Its UI is simple and intuitive. Hence developers can easily understand its features to start the development project rapidly.

When to use?

• Web applications which needs consistent content creation
• For building Java and Scala applications for desktop and mobile interfaces

Advantages-

• Supports non-blocking I/O which is crucial for high-performance apps
• Open source with a large community to contribute
• Commercial support is also available
• Compile and runtime error can be properly handled

Limitations-

• Steep learning curve, extensive documentation
• Acts volatile sometimes

Conclusion-

With regards to Java frameworks selecting the appropriate one is tricky. There are such a significant number of frameworks that will suit your project however select the one that requires less code to write your application and is simple to manage. Your appropriate selection will help you to achieve a project success that you deserves. If you are still confused to choose the best one, consult with solace experts. Dedicated team is here to help you with new trends and technologies. We will be happy to help you through our experts.

Kotlin vs Java

For mobile app developers, Java is the go-to language for building Android applications. But, there are many new emerging languages all over the industry. This might challenge Java’s dominance in the Android world.

One of them is Kotlin, a new programming language. It has been already reported by Google as a “first-class” language supported on Android. Although, it is continually being developed and improved, Kotlin is already considered a mature ecosystem and its popularity is growing rapidly, particularly with the mobile development.

Here you get to know more detailed comparison- Kotlin vs Java. Let us see.

What is Kotlin?

Kotlin was designed by programmers from JetBrains to add some modern features to Java mobile development. It has certainly picked up momentum after being declared as an official programming language for Android at Google I/O in 2018. Google has also internally switched to using Kotlin rather than Java on Android. Kotlin is an open source, statically typed language based on the Java Virtual Machine (JVM), yet you can also compile it to JavaScript or native to build code that can run on iOS. Everything necessary is done with installing the Kotlin Plugin and allowing it to configure your project.

Pros of Kotlin-

• Kotlin has a lot of traction in Android development, but it’s also used in backend projects such as Spring 5;
• Kotlin is able to compile to almost every platform including Android, JVM, JavaScript, and native.  Using the Kotlin Multi Platform framework you can extract one common codebase that will target all of them at the same time;
• Changing from Java to Kotlin is simple – just install the Kotlin plugin, add it to the Gradle build files, and click ‘Convert’;
• It supports modern programming concepts like extension functions, higher-order functions, delegates, and more out-of-the-box to help devs build clean APIs;
• Kotlin provides a built-in null safety support which is a lifesaver, particularly on Android, which is full of old Java-style APIs
• It’s way is more concise and expressive than Java, which means less room for error;
• You can write new modules in Kotlin and be sure they will work alongside the existing Java code; Kotlin is compatible with all Java libraries and frameworks, the JVM, and can integrate with the Gradle or Maven build systems;
• Devs can take an advantage from a rapidly growing collection of open source projects on GitHub, many books, learning resources, and online courses;

Cons of Kotlin-

• Rather steep learning curve when switching whole teams to Kotlin because of the language’s concise syntax.
• More slow compilation speed than Java 
• Has smaller developer community than Java. This means limited learning resources and trouble in discovering answers to questions; 
• There are many more Kotlin developers available, anyway finding well experienced mentor for your team may require more effort;

Kotlin use cases-

• Pinterest- It is a mobile app for the popular creative idea sharing social app; 
• Trello- This is a visual tool for organizing work with customizable to-do lists.
• CarLens-  This is a car recognition app powered by machine learning made by the Netguru R&D team for detecting cars and showing information about them. 

What is Java?

Java is the most preferred language among developers with regards to Android application development– essentially because Android itself used to be written in Java. Developed by Sun Microsystems (Now the property of Oracle), Java is an object oriented programming language that flaunts the title of the second most active language on GitHub. And its popularity seems to grow continuously.

Pros of Java-

• Java is easy to learn and understand;
• It is Flexible. You can run it in a browser window or a virtual machine. This comes in handy when you reuse code and update software;
• Android depends on Java – the Android SDK contains numerous standard Java libraries;
• Java has a huge open-source ecosystem, somewhat because of Google’s selection of the Java Virtual Machine (JVM) for Android;
• Accelerated assembly within Gradle- we’re all grateful for it when assembling large projects;
• Java applications are more compact and are simpler to be streamlined when better execution is required. Also, in contrast with Kotlin, Java applications will in general be lighter as Java is a more imperative language;

Cons of Java-

• Java has limitations that cause problems with Android API design;
• Java requires writing more code, which carries a higher risk of errors and bugs;
• It is slower in comparison to many other languages. Also it requires a lot of memory.

Java use cases-

• Android-oss – the official kickstarter.com Android app, a social platform for funding creative projects;
• NewPipe- It is a lightweight video streaming app project for Android;
• WordPress Engineering – The official WordPress App for Android. 

Why use Kotlin for Android?

What is the purpose of switching from Java to Kotlin? The primary argument may be the fact that Kotlin is intended to address Java’s issues. It implies that Kotlin provides numerous safety mechanisms available out-of-the-box while being more concise and expressive than Java simultaneously. Maybe that is the reason Kotlin is among the top five languages most preferred by developers, which represents % of developers who are developing with the technology or language and have expressed interest in continuing. 

Know the comparison of Kotlin with React native at- React native vs Kotlin.

Conclusion-

While Kotlin has numerous advantages that Java doesn’t, despite everything, it has a few disadvantages. Many times transitioning to new language is not exciting for developers who have found the tools and strategies that work for them. You need to give some time for your team to get familiar with Kotlin. You also need to bear in mind that Java isn’t going anywhere and will stay essential for Android application development. But if you are thinking to adapt to new technology, can go with Kotlin.

Choosing the best technology for apps development is most important as it leads to the success. Here you have gone through detailed comparison of Kotlin vs Java. If you are still confused to choose the best one, consult with solace experts. Expert’s team is well proficient in new trends and technologies. We will be happy to help you.

Python vs Java : Know the difference

Programming Languages are an essential piece of computer science and important to almost every programming activity. Selecting the best programming language is always a confusing task. Python and Java have been fighting for the top position of the most popular programming languages. Python is making an enormous progress in the past few years whereas Java holding onto its position. Both the languages are hottest programming languages in the market due to its versatility, efficiency and automation capabilities. It has been observed that these languages are perfect and are able to do most of the tasks. But there are some key differences that will help you decide the best language.

Python-

Python is a dynamically-typed general purpose programming language. Python’s initial development started at a research institute in the Netherlands. The inspiration driving it was to make a higher level language to cross over any barrier among C and the shell. The syntax was also motivated by a few languages like Algol68, Pascal, and ABC and was intended to be readable and clean. 

Java- 

Java is a statically typed general purpose programming language. It is an object-oriented and concurrent language. Java works as WORA (write once run anywhere) language. It was designed to run on any platform and with as few dependencies as possible, with the help of the Java Virtual Machine (JVM).

Python vs Java- Key differences-

Python vs Java

1. History- 

Python, first released in 1991 by its inventor, Guido van Rossum. It is a readable, efficient and powerful high level language with automatic memory management.

Java is an object-oriented language with a C/C++-like syntax that is familiar to many programmers. Java allows new code to download and run, but not dynamically typed.

2. Performance-

First of all, languages don’t have speed, they have only semantics. If you want to compare speed you must choose specific implementations to compare with each other. Remember that performance is not only a function of the language’s execution speed, the program’s implementation, and the third party libraries performance is usually the number one factor in the equation.

3. Legacy-

Python has less legacy problem so organization faces difficulty for the script to copy and paste codes and gives it a slight edge over the other languages.

Java’s history in the enterprise and its slightly more verbose coding style imply that Java legacy systems are typically larger and more numerous than python’s.

4. Code-

It only takes 2 lines of code to read from a file in Python. This makes Python a more preferable language.

Java is very verbose as compared to Python. It takes 10 lines of code to read from a file in Java.

5. Popularity-

Popularity has always been a game between these two languages because they are close competitors in the top 3 positions of popularity. Before the Javascript release, Java was the number one most popular language. 

In 2018 developer’s survey, Python was delegated the quickest developing programming language subsequent to taking over C# recognize this year and outperforming PHP a year ago. Java is still positioned above Python being well known with 45% of developers while Python is at 39%, anyway that gap is closing. It is safe to say that both languages reside around the same area in popularity.

6. Practical Agility-

Python is most positive language for Machine Learning, Artificial Intelligence, IoT and significantly more.

Java appreciates more undeviating refactoring support than python on account of its static kind framework and all inclusiveness of IDE’s being developed. It is more popular for mobile and web applications.

Read more about Python vs Java

Python vs Java use cases-

Game Development-

Game development is a field that requires the most elevated conceivable execution to give consistent experiences to the users, and while Java and Python are not slow, they don’t provide the best performance for game development. Python is not a powerful option for game creation. There is Cocos, Panda3d, Pygame and a few other engines/frameworks for building games with Python. However, Python isn’t completely ruled out for professional game development, it’s an important tool for a game developer, as Python is a popular scripting-language option for many developers including game developers. Editing Packages like Maya also use Python as a scripting language.

Web Development-

Back-end web development uses the languages. Back-end web development is a part of web development concerned with creating the software that will run on the server. Writing your own backend technology  is extremely hard to cover all design requirements like security, reliability and effectiveness. And hence developers have created frameworks which is an abstraction in software that enables you to build your backend technology without reinventing the wheel. Know the use of Python in Artificial Intelligence, Finance etc. at our blog- Using Python in Finance, Analytics and Artificial Intelligence.

The two popular frameworks for Python are Django and Flask. Flask is a small web framework, which gives you the basic functionalities you’d need like routing requests without much overhead. Django can help you to build a powerful backend while benefiting from efficiency and security. Django is equipped with a powerful ORM layer which encourages dealing databases and performing different operations on the data.

For Java, Spring is the most well-known Java backend framework with a massive ecosystem and a huge network around it. Orange, Dell, GE, and many other enterprises uses it. Spring is not as popular as Django. It is a powerful option for building enterprise level applications.

Machine Learning-

Python is syntactically simple yet a fully-fledged general purpose programming language. It turned into a prominent choice for people from different disciplines who needed to experiment with machine learning and bring the power of AI into their respective fields. Hence AI development and machine learning development uses Python.

Java is a good option when it comes to machine learning. It is easy to debug and use also. Large-scale and enterprise level applications uses Java. Among the libraries, you could use in that area are Weka, Mallet, DeepLearning4, and MOA.  

Python and Java Comparison summary-

Java and Python are both capable and popular languages. So there are many resources available. If you’re new to programming, it will be better to use Python just because it’s really easy and uses English- like syntax. If you want to develop enterprise level applications coming from a C/ C++ world, then Java would feel pretty familiar to you.

Are you looking to develop a software for your business with Python or Java? Then Solace is the right place to start. Developers at solace believes in effectiveness of using Python in development. Get a free quote for software development using python that will lift your business to the next level.

10 Best IoT Programming Languages

https://solaceinfotech.com/blog/10-best-iot-programming-languages/

The internet of things, or IoT, is a system of inter-related computing devices, mechanical and digital machines, objects or any physical devices that are provided with unique identifiers (UID’s)and the ability to transfer data over a network without requiring human- to- human or human- to- computer interaction. The Internet of things has came to existence due to occurrence of multiple technologies, real-time analytics, machine learning, commodity sensors, and embedded systems.

Languages used for IoT development are more or less the same when it comes to desktop apps, mobile apps, and servers. So it might seem like there’s no difference other than smart objects are like little computers. Although this is sort of true, there are some significant differences when it comes to all the things that make up IoT. 

Most popular languages for IoT programming are C, C++, Java, JavaScript, Python, Assembly, B#, Parasail, Rust, Swift. Let’s see one by one.

Best IoT Programming Languages-

1. C-

• C language is one of the most popular and important among all the lot programming languages. This language is the base for many other coding languages.
• If you are thinking to embedded system, C is the best choice. It easily interacts with hardware and also it doesn’t require a lot of processing power.
• Implementing a complex logic in C is easier than any other language and finding a C developer with much more experience is easier.
• As per expert’s opinion C is the language for embedded systems programming. Its proximity to machine language makes it impressively fast.

2. C++-

• If you want to go beyond of C for programming language, C++  should be your next choice.
• C doesn’t have object oriented pre-processing power like C++. C++ is more layered with its objects, classes and abstractions.
• It helps developers to use other languages including C#, D,  Java and Python. But that’s just the tip of the iceberg as it encourages the use of many more languages. Thus helps to resolve a complex problem easily.

3. Java –

• Java is the most popular coding languages among Iot programmers. This is true when it comes to consumer IoT (‘write it once’ and ‘Run anywhere’), but also has the capability to twist according to industrial IoT.
• Java is a portable, object oriented language. It has rarely any hardware dependencies. For any hardware dependencies it uses hardware support library
• Java is also a language that has taken coding techniques from Mesa, C, C++, and many others. Also, it’s popular to enable debugging code on a computer and then moving it to a chip via a Java Virtual Machine(JVM).

4. JavaScript-

• Today, all HTML and Web browsers use JavaScript as their programming language. It has taken some bits and pieces from other languages(Python & C) so you can say that it is a scripting language  that shares other language libraries like java.
• JavaScript plus pointers is easy to learn and  common language all over the Internet. Strong developer community is available for JavaScript and, plenty of video resources are available (tutorials, websites) to understand the language. So using JavaScript is not a challenging task.
• JavaScript is present everywhere in web apps and websites and now web developers can easily move to IoT development without learning new languages.

5. Python-

• For database apps, you can use Python. It is an easy programming language to understand and utilize in IoT projects.
• Though Python is started as a scripting language to merge code together, it has emerged one of the primary languages used by a lot of developers.
• Python is a good choice for an IoT app that requires readability and compact code. Flexibility allows distribution of compact executable code. Hence, any run-time compiler can run Python.
• Small devices have limited computational power and memory, so developers had to be creative to make life easy, so they choose  Python.
• Python’s clean syntax is great for database arrangement. Any app which requires data to be arranged in a database format and uses tables for data control, Python will be your right choice. It is more responsive and successfully executable next to C and C++.

6. Assembly-

• If you want to keep your IoT applications compact, in such cases you can go with assembly language. Whether it is not more popular language but it is easy to use for compact IoT applications.
• It’s a low-level programming language.
• Assembler packages and assembles pure machine code efficiently to be executed by the processor.

7. B# –

• B# is a small, efficient embedded control language. It can run on various platforms with only 24k memory, compared to overhead on other packages, this is less.
• B# is specifically used for developing small applications and can use this language on multiple platforms using an Embedded Virtual Machine(EVM) that supports B#.

8. Parasail-

• Parasail is good option when IoT application needs a language that supports parallel processing. But it is important for developers to understand the difference between concurrent and parallel processors.
• It is an evolved, compiled and object-oriented language. Along with C, Java or Python syntax, you can program Parasail.

9. Rust –

• Mozilla developed an open source language Rust, as Google’s Go. It is considered as the follower of Go, and is able to do some things that previous couldn’t.
• To share information among different channels automatically Rust is useful. .
• Rust is popular for concurrent programming.

10. Swift-

• Swift is a popular language for developing IoS apps. Wherever you want to interact by iphones and ipads, you can use Swift in IoT.
• As swift gets more popular, Apple also wants to lead in HomeIoT. in such cases company has been building infrastructure and libraries so it becomes easy to developers to focus on the task.

Final Words-

All the above languages has their own role and are effective in their space area but that one will stand out which supports the end use of the application. Java is a programming language that is leading but it can change over time and according to the user perspective areas of functionalities. Best IoT Programming Languages are those, which can fulfill the user requirement efficiently and effectively.

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