At first glance, the most important thing in developing a new product is gathering requirements. Though spending tremendous time and resources on development, there can be a mismatch between the required product and the final product. Many times requirements gathering is underestimated on multiple levels. When budgets are thin, timelines are tight, and scope is creeping, requirements documentation tends to be the first deliverable to go and the last deliverable to be considered.

There’s a common refrain that gets uttered at the end of unsuccessful projects: “The requirements weren’t clear.” Fingers start pointing, blame gets thrown around, and no one ends up happy. Thankfully, there’s a simple way to alleviate that problem, and it’s as obvious as it is challenging: requirements gathering.

What is Requirements Analysis?

Requirement analysis is significant and essential activity after elicitation. We analyze, refine, and scrutinize the gathered requirements from the stakeholders to make consistent and unambiguous requirements. After the completion of the analysis, it is expected that the understandability of the project may improve significantly. This is always done in the early phase of any project to ensure that the final product conforms to all the requirements.

This process often involves a set of activities including:

• Requirements elicitation: communicating with customers and users to determine what their requirements to understand user needs
• Requirements modeling: codifying that information in the form of user stories, such as natural-language documents, use cases, user stories, or process specifications.
• Analyzing requirements: determining whether the stated requirements are unclear, incomplete, ambiguous, or contradictory, and then resolving these issues.
• Review and retrospective: Team members reflect on what happened in the iteration and identifies actions for improvement going forward.

Requirements Analysis Techniques:

There are different techniques used for business Requirements Analysis. Below is a list of different business Requirements Analysis Techniques:

1. Business process modeling notation (BPMN)

2. UML (Unified Modeling Language)

3. Flowchart technique

4. Data flow diagram

5. Role Activity Diagrams (RAD)

6. Gantt Charts

7. IDEF (Integrated Definition for Function Modeling)

8. Gap Analysis

Let go into detail

1. Business Process Modeling and Notation (BPMN)

Business Process Model and Notation is used to create process flowcharts, although BPMN has its symbols and elements. These graphs simplify understanding the business process. BPMN is widely popular by business analysts as a process improvement methodology. The biggest profit of using BPMN is that it is easier to share, and most modeling tools support BPMN.

2. UML (Unified Modeling Language)

UML consists of an integrated set of diagrams that are created to specify, visualize, construct and document the artifacts of a software system. It is a useful technique while creating object-oriented software and working with the software development process.  In UML, graphical notations are used to represent the design of a software project.  UML also helps in validating the architectural design of the software.

3. Flowchart technique

A flowchart depicts the sequential flow and control logic of a related set of activities. They are in different forms such as linear, cross-functional, and top-down.  The flowchart can represent system interactions, data flows, etc. Flow charts are easy to understand and can be used by both the technical and non-technical team members. The flowchart technique helps in showcasing the critical attributes of a process.

4. Data flow diagram

This technique is used to visually represent systems and processes that are complex and difficult to describe in text. Data flow diagrams represent the flow of information through a process or a system. It also includes the data inputs and outputs, data stores, and the various sub-processes through which the data moves. DFD describes various entities and their relationships with the help of standardized notations and symbols.  By visualizing all the elements of the system it is easier to identify any shortcomings. These shortcomings are then eliminated in a bid to create a robust solution.

5. Role Activity Diagrams (RAD)

A Role-activity diagram (RAD) is a rule-oriented process model that represents role-activity diagrams. Role activity diagrams are a high-level view that captures the dynamics and role structure of an organization. Roles are used to grouping together activities into units of responsibilities. Activities are the basic parts of a role. An activity may be either carried out in isolation or it may require coordination with other activities within the role.

6. Gantt Charts

Gantt charts are used in project planning as they provide a visual representation of tasks that are scheduled along with the timelines. The Gantt charts help to know what is scheduled to be completed by which date. The start and end dates of all the tasks in the project can be seen in a single view.

7. IDEF (Integrated Definition for Function Modeling)

The integrated definition for function modeling (IDEFM) technique represents the functions of a process and their relationships to child and parent systems with the help of a box. It provides a blueprint to gain an understanding of an organization’s system

8. Gap Analysis

Gap analysis is a technique that helps to analyze the gaps in the performance of a software application to determine whether the business requirements are met or not. It also involves the steps that are to be taken to ensure that all the business requirements are met successfully. Gap denotes the difference between the present state and the target state. Gap analysis is also known as need analysis, need assessment, or need-gap analysis.

Summary

For the success of a project, it is of utmost importance to analyze project requirements at the time gathering as well as throughout the lifecycle of the project. It helps to keep the requirements in line with the needs of the business. A good project requirements analysis process will render a software application that caters to the objectives of the business set forth. Hope this blog was useful and are you looking for such kind of analysts for your next project just drop a line and we will be back within 24hrs.

In recent times, the JavaScript world is moving faster than ever before, and as a prominent software development company. A plethora of frameworks and languages are taking place day by day and we can’t keep up with all of them of this era. More important i.e. Gen Z is the great witnessing of great speed in technological advancements. If the language is considered the alphabet, the framework can be thought of as the phrasebook, enabling the developer to construct sentences and communicate.

Being a tech geek, your most treasured hobby must be looking for state-of-the-art and intriguing technologies to develop more user-engaging applications. If you like coding, you will be going to love the concept of Vue.js. You can implement Vue incrementally and it can work in conjunction with other libraries. There’s a high level of flexibility here that opens up a world of possibilities. Yes, Vue is experiencing a huge amount of growth.

Let’s buckle up!

What is Vue.js?

The Vue.js story begins in 2013 when Evan You was working at Google creating lots of prototypes right within a browser. Evan used handy practices from other frameworks he worked with and released Vue.js officially in 2014. VueJS is an open-source progressive framework for JavaScript used to develop interactive web interfaces. It’s not just for web interfaces, but it is also used both for desktop and mobile app development with the Electron framework.

Vue.js is one of those new software technologies that are being widely used across the world for web development.

So let’s take a closer look at the Power of VueJS!

1. Gentle learning curve

Vue’s gentle learning curve steals the hearts of beginners and state-of-the-art developers. Its high accessibility helps fast-paced dev teams get all their creative juices going without having to spend a lot of time familiarizing themselves with additional syntax extensions. Simply you can go ahead and start making your first Vue app—no prior knowledge of ES2015, TypeScript, JSX, or build systems required. Even though there aren’t many Vue developers on the market yet, developers have started delivering value within more or less a week.

2. Rich Ecosystem and Versatility

Vue comes with a rich collection of libraries and a set of tools facilitating development, the Vue world has everything a developer needs. The more notable tools that amplify coding experience are the excellent Vuex for state management and Vue-routing for routing and mapping your single-page app states to respective URLs. It has its DevTools, which come in the form of a browser extension. Its incrementally adaptable ecosystem scales between a library and a framework, which makes it an optimal solution for any development project.

3. Reactivity

Data in various HTML elements renders dynamically in modern web apps. Vue is equipped with its proprietary reactivity mechanism that refreshes the user interface automatically. This approach delivers a lot of time and additional lines of code that the developer can use to focus on introducing other features and be more productive.

4. Lightweight

Vue.js is light weighted and weighing around 20KB, and offers an insane act at warp speed. Vue is the fastest framework. Its rendering layer was rewritten with the help of a lightweight Virtual DOM implementation forked from the snabbdom. All dependencies in Vue.js are tracked during render, the system regulates which component needs to reflect the changed state. It allows Vue to know which parts of the view need to be re-rendered and leaves the rest intact, significantly speeding up application reactivity.

More than 700 popular brands trust Vue.js for their development needs some of the most important are: Xiaomi, Alibaba, and Gitlab.

Summing up

Vue makes it easy for developers to adapt and implement the elements. Working with Vue.js is a pleasure. It is also supported by a growing community of dedicated developers who can offer help and advice when needed. I hope you have this blog useful but still if you are not clear about the requirements or you have any idea in your mind, we can help you! Yes, we are making digital transformation easier for the majority of the industry. We ensure that there will be the right choice of framework according to your needs. We have skilled developers who keep themselves updated with the newest tools and technologies. So what are you waiting for? Drop us a line or call us to discuss your next endeavors.

With the evolution of the Internet, the ways businesses, economies, stock markets, and even governments function and operate have also evolved, big time. It has also changed the way people live.  Lately the term ‘Big Data’ has been under the limelight, no more a new term, and almost everyone knows something about it. Before the past couple of years, most of the data was stored on paper, film, or any other analog media; only one-quarter of all the world’s stored information was digital. But now everything is digital.

Let’s move forward more about Big Data!

What is Big Data?

Every day, we create 2.5 quintillion bytes of data so much that 90% of the days in the world today have been created in the last two years alone.

This data comes from everywhere:

• Sensors used to gather climate information
• Posts to social media
• Digital transaction  pictures and videos,
• Purchase transaction records
• Cell phone GPS signals to name a few
• This is Big Data
• Today, Twitter generates 12TB of data every day
• Airbus A380 generates 10TB every 30 minutes of flight
• NYSE generates a Tb of data every month.

Big Data is similar to small- data but bigger.

Definition

No single Standard definition.

Big Data is data whose scale, diversity,y, and complexity required new architecture, techniques, algorithms, and analytics to manage it and extract value and hidden. Big Data is a high-volume, high velocity, and high variety of information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision-making. It spans three dimensions volume, velocity, and variety.

Big Data is widely classified into 3 main types

1. Structured data

2. Semi-structured data

3. Unstructured data

Let’s walkthrough

1. Structured data

Any data that can be stored, accessed, and processed in the form of a fixed format is termed “structured data. Throughout time, talent in computer science has achieved great success in developing techniques for working with such kinds of data and also deriving values out of it. However, nowadays, we are foreseeing issues when the size of such data grows to a huge extent, typical sizes being in the range of multiple zettabytes.

Source of structure data

• RDMS like Oracle, MySQL,  DB2, QL server, etc
• Spreadsheets
• OLTP  system

Examples

• Relation/tables
• MS Access
• MSExcel

2. Semi-structured data

Semi-structured data can contain both forms of data. We can see semi-structured data as structured in form but it is not defined with e.g table definition in relational DBMS.

Source of semi-structured data

• XML
• JSON
• Other markup languages

3. Unstructured data

Any data with an unknown form or structure is classified as unstructured data. In addition to the size being huge, unstructured, data is a heterogeneous data source containing a combination of simple text files, images, videos, etc. Nowadays organizations have a wealth of data available with them but unfortunately, they don’t know how to derive values out of it since this data is in its raw form or unstructured format.

Source of unstructured data

• Web pages
• Images
• Free-form text
• audio/video
• Body of email
• Chats
• Social media data
• Word document

Characteristics of Big Data

1. Volume

The name Big Data itself is related to its enormous size. The size of data plays a very crucial role in determining the value of data. Volume is the amount of data generated that must be understood to make data-based decisions. A text file is a few kilobytes, a sound is a few megabytes while a full-length movie is a few gigabytes. An extremely large volume of data is a major characteristic of big data

E,g Amazon handles 20 million customers’ clickstream user data per day for recommended products.

2. Velocity

Velocity measures how fast data is produced and modified and the speed with which it needs to be processed. An increased number of data sources both machine and human-generated drive velocity. Big Data Velocity pack with the speed at which data flows in from sources like business processes, application logs, networks, social media, sensors, Mobile devices, etc. The flow of data is massive and continuous. The extremely high velocity of data is another major characteristic of big data.

E.g. 72 hours of video are uploaded to youtube every minute at this velocity.

3. Variety

Variety defines data coming from new sources i.e both inside and outside of an enterprise. It can be structured,semi-structured, unstructured, or even in different formats such as text format, videos, images, and more. So, storing and processing unformatted data through RDBMS is not easy. Variety is one of the important characteristics of big data.

• Structured data – Traditional transaction processing systems and RDBMS.
• Semi-Structured data – HyperText Markup Language, Extensible Markup Language (XML).
• Unstructured data- Unstructured text documents, audio, video, email, photos, PDF, and social media.  3. Variability

4. Variability

Variability refers to the inconsistency which can be shown by the data at times, thus hampering the process of being able to handle and manage the data effectively. Data available can sometimes get messy, anomaly, and maybe difficult to trust. Data flows can be highly inconsistent with periodic peaks. With a wide variety of big data, types generated quality and accuracy are difficult to control.

E.g A Twitter post has hashtags types and abbreviations.

5. Veracity

Veracity refers to biases, noise, and abnormality of data. This means the degree of reliability that the data has to offer. Big data, as large as it is, can contain wrong data too. The key question here is “Is all the data that I am analyzing trustful”.

6. Volatility

The volatility of data deals with, how long is the data valid? And how long should it be stored? Some data is required for long-term decisions and remains valid for a longer period. However, there are also pieces of data that quickly become obsolete minutes after their generation.

Conclusion

To conclude, the above-mentioned 6 characteristics of big data indicate that each character is associated with some advantages. However, they are not beyond challenges. Besides, these characteristics determine the root of failures or defects in data on a real-time basis. I hope you have enjoyed this blog, for more information just drop us a line and we will be back within 24hrs.

Design is not just what it looks like and feels like. Design is how it works. Similar graphic design gives the first aura when a user embarks on the web exploring journey. The prosaic evolution of users’ tastes and emerging technologies keep on changing rapidly. The graphic designers’ trends not only satisfy users’ aesthetic requirements but also provide them with a high level of usability. A wise combination of these trends will lead to happier users, and ergo your product’s success.

Some trends delight and inspire, some make your eye ache. New grows old and sometimes old is new again. It is an important tool to enhance the way of communication between the designer and the target audience. It is said truly that “beauty gets the attention,” and the designers leverage this platform to convey their ideas effectively and attractively.

Let’s now explore the leading graphic design trends of 2021 in detail and see how popular brands implement them successfully. Every designer must follow them.

Let’s spill the bean of 2021!

• 3D Illustrations

One of the most sizzling design trends of 2021 is going to be 3D design. Digital or hand-drawn, 2D or 3D, custom illustrations are the free unaligned elements, components, and vast asymmetry. I am sure everyone is aware that VR and AR technologies gain momentum in 2020. In that sense, it’s a perfect idea to combine these techniques to create hyper-realistic 3D visuals taking up the whole users’ screen. Such visuals attract users as they transcend the boundaries between the virtual space and real life. From using shadows below texts to give them a 3D appearance to using AR/VR technology to add 3D motion graphics in your UI design, the options are plenty. One impressive example of such an experience is the 360-degree view.

• Glassmorphism

Glassmorphism is undoubtedly one of the most amazing and trending UI graphic design tools user interfaces. It is based on the background blur effect and creates special effects to give the user the “through the glass” look and feel on elements, as the name suggests. These glass looking translucent elements provide a well-defined hierarchy on an interface. They do it by mimicking depth that helps users differentiate what is in the front and what is further back on the screen. Did you remember seeing this style on the good old Windows Vista or ios 7? Check it out at Glassmorphism Generator.

• Comics and Pop-art

Born of an era of primitive printing technology, comics often used halftones, or simplified dot shading, to represent color. Nowadays, this approach can breathe new life into modern minimalist trends such as flat design through grainy texture and depth. The goal here is to be playful and create escapist landscapes where people can find a few moments of solace away from our challenging reality.

• Optical Illusion Designs

Optical Illusion design is quintessential in 2021 and designers are all-set to experiment to get truly funky with this fashion. It is a unique way where the eye focuses on the illusionary design for a longer duration.  It’s addictive -it’s a magical way of dragging viewers in. Hence, the users automatically tend to spend more time on the website, which meets the designer’s essential purpose. Suppose if your brand has something related to the idea of movement and strangeness or spirituality all the better, but even if you just want the design to stand apart, fix in the memory, have that wow factor, then illusion design is worth considering.

• Using Cartoon Illustrations

Cartoon illustrations are multi-functional and best to make your website, logo, posters, etc., playful while adding a brand image to your product. Designers can use their creativity and imagination to add playful characters to smile on the audience. Automatically it becomes perfect for memorable branding, excellent for creating the atmosphere for product or site, and incredibly multifunctional. You can use your character on the website, business cards, posters, presentation materials, really there are no limits.

• 3D Typography Design

Typography design got it in 2020, with designers using allsorts of playful ideas and concepts and viewers talking to them in a big way. Ultra-realistic lettering that feels like you can reach in and touch it. Alongside this 3D are elements of animation, texture, and pattern. Typography design is rapidly becoming a great symbol of innovation in graphic design, utilizing all the most fashionable, go-to techniques and using them in stunning and imaginative ways. There was a much more artistic flow to typography and we can’t see that going away anytime soon.

Final words

Predictions are always in the laps of the gods, and never more so than in the present times. But the world doesn’t stop and neither does the need for the next new exciting innovation, the next big thing. With the onset of 2021, it brings along new opportunities and platforms to bring out your creative juices. I am sure the above mentioned Top 6 Graphic Design Trends Ideas will help you retain a wider audience and achieve higher business growth through innovative, unique, and appealing graphic designs. Which of the trends we’ve mentioned has excited you the most? Is there any other trend that should have been included in the list and would you like us to design your next project with the trending design then just drop a line and we will be back to you within 24hrs.

Over the years, PHP has been a popular framework. It comes with a lot more flexibility in terms of a structured coding pattern with scope for applications that we deliver to perform better is required.  There are a lot more successful PHP frameworks available in the market like CakePHP, Zend, Yii, and Symfony. Each of these is well established in the industry.

The developers love to use it for its features that help to create functional and rich custom solutions for the industry. But two prominent PHP frameworks have become very popular i.e Laravel and Codeigniter. Both have emerged through the years to become the best framework. Then might the question arise that why consider Laravel over the others, or over CodeIgniter?

Let’s make a close examination between Laravel vs CodeIgniter without wasting any more time.

First will walk through Google Trends what they say about  Laravel vs CodeIgniter:

Laravel

Laravel was developed by Taylor Otwell in June 2011 and it is an open-source PHP web framework. You can develop custom web applications by using the model-view-controller (MVC) architectural patterns. It comes with chic and expressive syntax. Some tasks that come across ordinarily in web projects are sessions, routing, caching, and authentication. It materializes with high security that helps Laravel development to take quick actions in case of any security breach. It is used for the backend side of web development.

Traits of Laravel

• Template Engine.
• MVC Architecture Support.
• Eloquent ORM (Object Relational Mapping).
• Security.
• Artisan.
• Libraries & Modular.
• Database Migration System.
• Unit-Testing.

CodeIgniter

CodeIgniter was developed by the British Columbia Institute of technology on 28 February 2006. and the original author is EllisLab, a software development company. It is also a PHP-based framework and uses a model-view-controller (MVC) that doesn’t completely depend on the MVC pattern but allows integration with third-party plugins. It offers enormous security and encryption features. It is built for developers who love to work with smooth and chic toolkits.

Traits of CodeIgniter

• Model-View-Controller Based System.
• Extremely Light Weight.
• Query Builder Database Support.
• Form and Data Validation.
• Security and XSS Filtering.
• Session Management.
• Email Sending Class.
• Error Logging

Laravel Vs CodeIgniter: A difficult choice!

Basis of Laravel  CodeIgniter Structure Follows MVC Structure with a command-line tool ‘Artisan’. MVC Structure-based on Object-Oriented Programming. DataBase Model Relational Object-Oriented Object-Oriented Programming paradigm Component Oriented Object-Oriented Event-Driven Functional Template Language Blade Template Engine PHP proprietary API Support Easy to develop REST APIs with RESTful Controller No, streamline the development of REST APIs HTTP Support Laravel allows programmers to define custom HTTP routes. The developers can also create a specific URL for each HTTPS route. CodeIgniter does not support HTTPS fully. Therefore, developers can use URLs to keep data transmission secure by creating pats. Authentication The Authentication Class feature provided by Laravel makes it easier for developers to implement authentication and authorization rules. CodeIgniter doesn’t come with built-in authentication features. So, developers need to authenticate and authorize users by writing custom CodeIgniter extensions. Stack Overflow questions 96.7 k 606. k GitHub Stars 45.5 K 16.5 K Learning Curve Laravel offers many additional features that are difficult to learn for beginners. The beginners find it easier to learn and use CodeIgniter.

Wrapping it up

Laravel and CodeIgniter, both are two of prominent PHP frameworks which you can have for your web application development. The main difference between CodeIgniter and Laravel is that CodeIgniter allows creating and maintaining modules using Modular Extension while Laravel provides built-in modularity features. However, It entirely depends on your project which one you should prefer. Whether you need expert Laravel development services or need assistance deploying an eCommerce website using Laravel, Zend, CodeIgniter, CodeClouds and many more has the expertise you need all at an affordable rate then just drop a line and we will be back within 24hrs.

Albeit uneventful, the year 2020 is now coming to an end. Considering the unprecedented challenges that the COVID-19 pandemic threw in the way of companies, and despite that businesses continued to function, the learnings derived from the year 2020 are undoubtedly valuable. In 2020, the digital ecosystem will prove to be a gamechanger. The pandemic changed our lives, work culture, and gave birth to new trends and innovations.

Technology is evolving very fast. Are you? It is said that humans revolve around technology. Technology has entered each part of our lives. It’s unavoidable that gadgets start to shape our goals – whether to connect with others or share our ideas with people around the globe. It not only changed the seemingly peripheral things but the very perception towards technology and its role in our life.  It’s a basic necessity.

In the same vein, we have to keep you updated with the latest trends in technologies. Let us now take a look at how will your work and personal life be changed by technology in the next 12 months.

1. Artificial Intelligence

Artificial intelligence is already well known but is yet to become omnipresent in every single part of our everyday lives.  AI has already received a lot of buzz in the past decade, but it continues to be one of the new technology trends because its notable effects on how we live, work, and play are only in the early stages. AI is already known for its superiority in image and speech recognition, navigation apps, smartphone personal assistants, ride-sharing apps and so much more.

In 2021, we expect AI technologies to grow exponentially and feature within nearly all tech products and services. According to AI investor and philanthropist Tej Kohli, AI has at least four times as many applications as the Internet, and so the AI economy could eventually be worth $150 trillion.

2. Augmented Reality and Virtual Reality

Today, any AR or VR framework establishes a vivid 3D environment, yet it has little to do with the real one the consumer is situated in. Most AR devices can perform basic outputs of the climate, and VR frameworks can identify the developments of the customer through head tracking, controllers, and so on, however, their capacities stop there. In 2021, we can expect these forms of technologies to be further integrated into our lives.

3. 5G Technology

The last few years have had enough hype around 5G and its impact, but in 2021, it may go real. 5G could strengthen the technologies backed by AR and VR by giving them the needed bandwidth to be widely available. The concept of cloud-based gaming as well will rely heavily on the strength that 5G is going to provide, making the age-old cable-based gaming redundant. 5G technology is now in trend and also gonna rule the coming age of the telecommunications industry. It is offering quicker speeds and a more dependable connection on mobile phones and different appliances.

Given the remote work, digital collaboration, and videoconferencing becoming part of our lives, the need for a reliable and fast connection has become super important. Gartner predicts that by 2023, there will be more than 1 billion active users of 5G, which means more than 217% compound annual growth rate.

4. Blockchain

Blockchain is only a digital record that takes care of secure transactions. It is secure from hackers as it is decentralized in nature. Blockchain discovers its application essentially in digital currencies. It isn’t restricted to this single space. As per the predictions go for 2021, blockchains will extend to Omni-experience ecosystems cutting down on transaction costs by 35 percent. Global supply chains through blockchain services will get more collaborative allowing customers a better experience.

A few major players, for example, FedEx, IBM are now executing blockchain in their frameworks.

5. Internet of Things (IoT)

Another promising new technology trend is IoT. IoT will emphasize health technology, safety along customer experience. Many “things” are now being built with WiFi connectivity, meaning they can be connected to the Internet—and each other. Hence, the Internet of Things, or IoT. The Internet of Things is the future and has already enabled devices, home appliances, cars, and much more to be connected to and exchange data over the Internet.

IoT is the future and we are exactly toward the early phases of it. By 2021 over 35 billion IoT gadgets will be introduced around the world. Likewise, the IoT home market is relied upon to reach $ 53.45 billion by 2022.

Conclusion

2020 has been a remarkable year. The new technologies will set the new normal for the world. The post-pandemic era will see a great deal of newer trends. 2021 will build on these innovations and then some, as industries look forward to greater automation and widespread use of solutions based on IoT, AI, AR/VR, and others. The new technologies will set the new normal for the world. The post-pandemic era will see a great deal of newer trends. Contemplating a transformation and wondering how digital adoption can be helpful for your business? Drop a line of a message and we will be back within 24hrs.

Should I Rust, or Should I Go

In a competitive world to thrive in, choosing the right programming language is the foremost thing. It is important for businesses as well as developers to provide a good experience to their users. The situation has become quite complicated for developers to study and choose one language over another to build reliable and intuitive applications.

With evolving algorithms every day, developers are heads over heels to compete with the steadfast changing processes. The newest languages in the tech basket are Go language – Google based multi-paradigm system programming language and Rust – multi-paradigm system programming language. Even though both have a few similarities, but they also have drastic differences between each other.

Let’s drive-in for both the languages, If you’re struggling to decide whether Go or Rust is a better language for your development needs, keep reading. In this blog, I will compare Go and Rust, explaining how they are similar, how they’re different, and what each can do for you.

Rust

Rust language was developed by Graydon Hoare in 2010. It is developed to maintain and preserve large-system integrity. It has been designed with an emphasis on control of memory layout, concurrency, and comparable idiomatic performance to C++. It guarantees the integrity of storage and has complete control over the lifecycle of memory. For improved parallelism and modularity, it lets you better write programs. The latest stable release of Rust is 1.48.0, which came on November 19, 2020.

After Python, Rust is the third fastest-growing programming language. It is the easiest, fastest, and safest programming language because of its semantics and borrows checker.

Mozilla, Dropbox, Qiwi, Brilliant, Braintree, and many more are popular web development companies that have been created using Rust.

Advantages of Rust:

• Amazing run speed
• Easy Integration with C and several languages
• Rich patterns and Syntax
• Predictable run time behavior
• Saves time in debugging and testing
• Zero cost abstraction
• Guaranteed Safety
• Complexity of code
• Cross-platform

Go

Go language was developed and designed by Robert Griesemer, Rob Pike, and Ken Thompson at Google in 2009, it is also known as Golang. It’s an open-source programming language that makes it easy to build simple, reliable, and efficient software. The developers’ goals can perhaps be summed up by saying simply that they wanted a language that offered the efficiency of C++ but that was easier to write, read and deploy in an optimized way on multi-core CPUs. The specifications of the Go language are dependency management, built-in concurrency, garbage collection, vigorous across multiple boundaries among the components, etc.

The latest stable release of Go is  1.15.4, which came on November 5, 2020. Golang is a compiler that successfully compiles the program and guarantees both type conversion and compatibility. This language will let you write code parallel to your own code so that it will become easy and straightforward to understand the code.

Google, Apple, Facebook, Twitter, IBM, Dropbox, BBC, YouTube are using the Go programming language.

Advantages of Go:

• Flexibility
• Ease of use
• Profiling framework and Built-in testing
• Statically typed language that can compile to machine code.
• Simplicity of code
• Lightweight threads Goroutines
• Considered substitute for C and C++
• Suitable for writing DevOps Tasks and microservices
• Concurrent mechanism
• Cross-platform
• Static analysis tools
• Garbage collection

Rust Vs Go: Battle Round

In many ways, Go and Rust is similar. They’re both among the youngest programming languages to be widely used today. Now it’s time for a juxtaposition between these two nutshells.

Rust vs Go: Performance

The performance is one of the factors that can give you an idea for the comparison. The run speed of both languages Rust and Go are almost similar to C++ and C respectively. When it comes to a keen comparison,  While Rust’s performance is superior to Go, the former lags in the speed of compilation, where Go is fast. But, Go’s pace of development falls a few steps behind Rust’s high performance.

Rust vs Go: Memory Management

Through zero-cost abstraction, Rust uses the compile strategy for memory management. If there are any security issues in the Rust program, it will not be able to perform the compilation stage. Just like Rust, Go is also memory safe. But, for Go, this is handled automatically during the runtime, which sometimes causes issues. So, in terms of memory management, Rust is more reliable in comparison to Go.

Rust vs Go: Development Speed

At times, the development speed becomes more important than the program speed. Go in not the fastest language but to write software it is fastest. The compile speed of Rust is higher than Go because of more language features. If someone wants faster development, then he/she should opt for Go over Rust.

Rust vs Go: Concurrency

Modern-day apps are distributed and networked. The languages that haven’t planned for these realities are far off behind the curve. The developers have to be able to run the tasks independently and share state between the tasks minus the risk of data corruption. Go’s syntax comes with inbuilt concurrency, but the same is not the case with Rust. Despite the fact that the concurrency of Rust lacks.

Wrap up

We could keep digging into both the languages, dissecting both sides of the Go vs Rust comparison, but the ultimate answer to the Rust and Go comparison determined on the basis of development and business objectives. Even though the competition persists, each language has its own positive yet limited outcomes. There are instances where Rust is better than Go and vice versa. If you are looking to develop in any one language but you are confused about which one to pick, then just drop a line and we will be back within 24hrs.

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This pace of change only promises to quicken in the decade ahead, which makes the lives of marketers particularly complicated. As digital marketers ourselves, we have the privilege of working on SEO strategies with clients daily, and we have a vested interest in understanding and anticipating what’s coming for SEO in 2021 (and beyond).

By 2022, chatbots will save businesses an aggregate of over $8 billion per year.

SEO metrics help you gauge the success of your campaign. These also give you insight into which areas you need to improve, what to modify, and how. There are many entrepreneurs looking to improve their SEO should look into implementing chatbots into their digital marketing strategy. While integrating a chatbot into your website can turn it from a lowly donkey hiding in the dark into a full-fledged unicorn casting rainbows in the sun. So, if you have a good score in these metrics, then it is very likely that your website ranks well on SERP. Even as per Alexa ranking also, these are the major metrics that are calculated to determine the Alexa Website Rank.

Let’s look at 3 key metrics in SEO!

1. Average Session Duration

Average session duration is a Google Analytics metric that reports the average amount of time users spend on your website. A session begins the moment a visitor arrives at your website and ends when they exit or remain inactive for a predetermined time span. As long as the visitor interacts with your site, the session continues. The good average session duration is 2 – 3 minutes. Time is the most precious resource we have as human beings, and this number shows us how much of their time users are willing to sacrifice for your content.

This metric is most helpful when looking at segmented views, traffic sources and in consideration with other engagement metrics.

To calculate the average, Google totals up the lengths of all sessions within the given timeframe and then divides that number by the number of sessions.

Average session duration = total duration of all on-site sessions/number of sessions

2. Bounce Rate

Bounce rate is the percentage of site visits that are single-page sessions, with the visitor leaving without viewing a second page. It is typically used as a measurement of a website’s overall engagement. This is often unfairly flagged as a ‘bad’ metric, but it’s not inherently good or bad. It simply states how often site visits stay on the same page from their initial entry.  In Analytics, a bounce is calculated specifically as a session that triggers only a single request to the Analytics server, such as when a user opens a single page on your site and then exits without triggering any other requests to the Analytics server during that session.

Generally with a high bounce rate is bad, and a low rate is good. An abnormally high bounce rate is generally a warning that people are leaving your site, and aren’t willing to stick around to explore the rest of your website.  On average the Bounce Rate range is between 41 and 51%

3. Visitor Return Rate

The visitor Return Rate metric reveals how healthy your content marketing strategies are.  It also shows whether your marketing communications are effective or not. By valuing your returning visitors you are in fact expanding your visitor base. You are opening up new avenues for more loyal customers. Repeat visitors have a greater potential to refer more visitors to your site. Such referral traffic is much easier to convert than completely new prospects.

Returning Visitors have visited your site before and are back for more! Google sets a 2-year expiration date on New Visitors. If someone has visited our website within the past two years and returns from the same device, they are marked as a Returning Visitor in our Google Analytics. If it has been more than two years since someone has visited our site, the next time they return they will be counted as a New Visitor again.

Summing up

Not anyone metric should be used alone to indicate performance success. Each metric presents only a piece of the puzzle, and the full situation can only truly be understood when used together. If you were to focus on only one metric, instead of letting them lend to the story together, you’re missing the bigger picture. This can lead to some dangerous judgments and decisions. We hope this blog was useful. Are you looking to rank up your website then just drop a line and we will be back in 24hrs.