Astronaut loading animation Circular loading bar

Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(20)

Clean Tech(5)

Customer Journey(12)

Design(36)

Solar Industry(6)

User Experience(56)

Edtech(10)

Events(34)

HR Tech(2)

Interviews(10)

Life@mantra(11)

Logistics(5)

Strategy(17)

Testing(9)

Android(47)

Backend(30)

Dev Ops(7)

Enterprise Solution(27)

Technology Modernization(2)

Frontend(28)

iOS(43)

Javascript(15)

AI in Insurance(35)

Insurtech(63)

Product Innovation(49)

Solutions(19)

E-health(10)

HealthTech(22)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(132)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(7)

Computer Vision(8)

Data Science(17)

FinTech(50)

Banking(7)

Intelligent Automation(26)

Machine Learning(47)

Natural Language Processing(14)

expand Menu Filters

Laravel vs Zend – Features You Need to Know Before You Start

Developing Web applications can be a time intensive and complicated process as it involves delivering unique user experiences over browsers and smartphones. However, it can be streamlined by using PHP framework to create simple and rapid agile applications. This is usually doable due to the reuse of generic modules or components, and the convenience that comes with a unified structural foundation.
A PHP framework also helps to achieve application scalability and simplify maintenance, ensuring compliance with the most important development standards.
Other than that, to achieve economies of scale, your top most priority must be to develop high quality apps with optimal use of resources. PHP frameworks helps you to concentrate on those specific tasks that result in the creation of sustainable and flawless code. But the question lies which framework should you use to create your web apps?
For one of our clients, we did a POC on some of the widely used frameworks of PHP, to see which framework is best recommended for the e-commerce business solution.
We have taken the top two most widely used members of PHP framework family – Laravel 5 and Zend 2.0, and tried to evaluate how they stack up against each other and which one is best to use.
The five questions which were answered during POC of the two frameworks are:
1. Do we have high performance template engine support present?
2. SQL injection attacks and cross-site scripting (XSS) prevention?
3. Cookie Information management?
4. Caching system that loads your web applications extremely fast?
5. Authentication support that is facilitated via RBAC (Role Based Access Control)?

For our client we did a small exercise and answered above 5 questions.

 

Zend Laravel
Zend Framework, which provides a number of ready-to-use components to improve your application’s security. It uses a blade template engine to speed up compiling tasks, and users can include latest features so easily. Laravel has its own light-weight templating engine called “Blade”.
Zend Framework offers an Escaper component to escape output and defend from XSS and may be vulnerable to SQL injection attacks. Client-side cross-site scripting protection (xss) is there, Laravel’s {{}} syntax will automatically escape any HTML entities passed along via a view variable. Laravel’s Eloquent ORM uses PDO parameter binding to avoid SQL injection. Parameter binding ensures that malicious users can’t pass in query data which could modify the query’s intent.
Has a built in authentication support that is facilitated via RBAC (Role Based Access Control). RBAC is present here
We can add Caching system that loads your web applications extremely fast Caching system that loads your web applications extremely fast is present by default.
We can do Cookie Information management in Zend All cookies created by the Laravel framework are encrypted and signed with an authentication code

 

Adding to the comparison that is in table-1, we evaluated some more points in Laravel vs Zend 2.0.:

COMPARISON TABLE

Features Laravel Zend
Memory Recommended 1 Gb 512 Mb
Template Language Accounts for Blade in Addition to Php, Smarty and Twig Does not account for Blade in addition to Php, Smarty and Twig
Development Principles Test-driven development, No repetition, Configuration over convention Configuration over convention
Released Version 5.0 2.0
Programming Paradigm Functional, Event Driven, Object Orientated Event Driven, Object Orientated
Scripting Language Support Php & Amp; Javascript Php
Front End Php Php & Javascript
Client/Server Code Reuse Model View Controller, Template Language, Web Services Model View Controller
Data Storage Berkeley Db, Relational Db, File System Relational Db, File System
Library File Size 17Mb 8Mb
Api Comprehensibility 5 star 3 star
Implementation Flexibility 55% 45%
Community Feedback 5 Star 4 Star
Ease of Use 5 Star 3 Star
Uncompressed Size 2Mb 9Mb
Maven Support No Yes
Resource File Processing Yes No
Partial Classes Yes No
Javascript Library included No Yes
Requests Per Second 100 1000
Modules/Extensions/Plug-Ins 8000 9999
Easy to Configure Yes No
Xss Yes No
Cloud Platform Support Google App Engine, Amazon Ec2, Fortrabbit, Pagoda Box, Digital Ocean, Heroku, Linode, Openshift Windows Azure, Amazon Ec2, Heroku, Openshift
Email Protocol Smtp, Imap, Pop3, Mailgun, Mandrill Imap, Pop3, Smtp
Design Pattern Active-Record, Model-View-Controller, Dependency Injection, Observer, Singleton, Facade, Event-Driven, Mtv Dependency Injection, Model-View-Controller, Event-Driven, Data Mapper, Singleton, Active-Record
Database Sqlite, Mysql, Postgresql, Redis, Microsoft Bi Microsoft Bi, Mysql, Postgresql, Mariadb, Sqlite, Ibm Db2, Oracle, Mongodb

 

Considering the success criteria like raboust/stability/scalability/security etc. in top 2 tables, it is clear that Laravel stands better than Zend.

In case, you any queries on Laravel vs Zend, feel free to approach us on hello@mantralabsglobal.com, our developers are here to clear confusions and it might be a good choice based on your business and technical needs.

Cancel

Knowledge thats worth delivered in your inbox

10 Analytics Tools to Guide Data-Driven Design

Analytics are essential for informing website redesigns since they offer insightful data on user behavior, website performance, and areas that may be improved. Here is a list of frequently used analytics tools to guide data-driven design that can be applied at different stages of the website redesign process. 

Analytics Tools to Guide Data-Driven Design

1. Google Analytics:

Use case scenario: Website Audit, Research, Analysis, and Technical Assessment
Usage: Find popular sites, entry/exit points, and metrics related to user engagement by analyzing traffic sources, user demographics, and behavior flow. Recognize regions of friction or pain points by understanding user journeys. Evaluate the performance of your website, taking note of conversion rates, bounce rates, and page load times.

2. Hotjar:

Use case scenario: Research, Analysis, Heat Maps, User Experience Evaluation
Usage: Use session recordings, user surveys, and heatmaps to learn more about how people interact with the website. Determine the high and low engagement regions and any usability problems, including unclear navigation or form abandonment. Utilizing behavior analysis and feedback, ascertain the intentions and preferences of users.

3. Crazy Egg:
Use case scenario: Website Audit, Research, Analysis
Usage: Like Hotjar, with Crazy Egg, you can create heatmaps, scrollmaps, and clickmaps to show how users interact with the various website elements. Determine trends, patterns, and areas of interest in user behaviour. To evaluate various design aspects and gauge their effect on user engagement and conversions, utilize A/B testing functionalities.

4. SEMrush:

Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct keyword research to identify relevant search terms and phrases related to the website’s content and industry. Analyze competitor websites to understand their SEO strategies and identify opportunities for improvement. Monitor website rankings, backlinks, and organic traffic to track the effectiveness of SEO efforts.

5. Similarweb:
Use case
scenario: Research, Website Traffic, and Demography, Competitor Analysis
Usage: By offering insights into the traffic sources, audience demographics, and engagement metrics of competitors, Similarweb facilitates website redesigns. It influences marketing tactics, SEO optimization, content development, and decision-making processes by pointing out areas for growth and providing guidance. During the research and analysis stage, use Similarweb data to benchmark against competitors and guide design decisions.

6. Moz:
Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct website audits in order to find technical SEO problems like missing meta tags, duplicate content, and broken links. Keep an eye on a website’s indexability and crawlability to make sure search engines can access and comprehend its material. To find and reject backlinks that are spammy or of poor quality, use link analysis tools.

7. Ahrefs:
Use case scenario:
Research, Analysis, SEO Optimization

Usage: Examine the backlink profiles of your rivals to find any gaps in your own backlink portfolio and possible prospects for link-building. Examine the performance of your content to find the most popular pages and subjects that appeal to your target market. Track social media activity and brand mentions to gain insight into your online reputation and presence.

8. Google Search Console:

Use case scenario: Technical Assessment, SEO Optimization
Usage: Monitor website indexing status, crawl errors, and security issues reported by Google. Submit XML sitemaps and individual URLs for indexing. Identify and fix mobile usability issues, structured data errors, and manual actions that may affect search engine visibility.

9. Adobe Analytics:
Use case scenario:
Website Audit, Research, Analysis,
Usage: Track user interactions across multiple channels and touchpoints, including websites, mobile apps, and offline interactions. Segment users based on demographics, behavior, and lifecycle stage to personalize marketing efforts and improve user experience. Utilize advanced analytics features such as path analysis, cohort analysis, and predictive analytics to uncover actionable insights.

10. Google Trends:

Use case scenario: Content Strategy, Keyword Research, User Intent Analysis
Usage: For competitor analysis, user intent analysis, and keyword research, Google Trends is used in website redesigns. It helps in content strategy, seasonal planning, SEO optimization, and strategic decision-making. It directs the production of user-centric content, increasing traffic and engagement, by spotting trends and insights.

About the Author:

Vijendra is currently working as a Sr. UX Designer at Mantra Labs. He is passionate about UXR and Product Design.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot