Znode – Enterprise ASP.NET Ecommerce Solution

What is Znode?   Znode is an ASP.NET E-commerce platform to boost customer acquisition and onli

What is Znode?

 

Znode is an ASP.NET E-commerce platform to boost customer acquisition and online support for online stores to buy and sell the product. It is single integrated system so it is easy to install and setup. With Znode eCommerce service provider companies can handle different types of customers like retail customers, distributors, partners, wholesalers, etc. in online shopping portal. As it has different types of customers, it also provides different as well as great ways to deal with them all like different various pricing structures, shipping options, special offers and payment terms. If one wants to change something in UI then one can change at single source and it reflects in multiple stores. It has Single Admin to Manage Multi Store or Multi-Tenant Ecommerce websites. It also has unlimited scalability for high traffic ecommerce websites, large product catalogs and large numbers of product listings.

 

Statistical analysis 

   
Brief Single integrated system, it is easy to launch multiple E-commerce websites and mobile stores.
Holding company Znode integrated with Sitecore
Framework Supports Microsoft ASP.NET
Features
  • Launch multiple E-commerce sites using a single admin Scale to millions of customers and unlimited products.
  • Multiple Brand Option – thus create individual store for each brand. Single Dashboard control
  • Product Catalog Management
  • Multi Store Commerce
  • Multiple Customer type
  • Multilingual and Multicurrency
  • Rapid Integration
  • Security
  • Mobile Commerce
  • Globalization and Localization
  • SEO capability
  • Integration with both Microsoft and Non – Microsoft systems
  • others as mentioned on their website.
Type CMS, WCMS, E–Commerce, online marketing platform.
Supported databases Microsoft’s SQL Server
Supported browsers
  • Chrome
  • IE
  • Firefox
  • Safari
Open Source Yes
Price Paid versions are available depending on features. Only primary features for demo is free
Usage Ref - [ CITATION Bui173 \l 1033 ] 324 websites out of which 141 are live and others used historically.
Benefits
  • Fully Customized E-commerce websites
  • Lesser development and integration time
  • Useable as creates multiple channels but manage them from one UI, Highly efficient for businesses.
Disadvantages Deleting Znode then recreating its version number.
Support Online support via Email
Awards and recognitions As per sources, Znode is World’s first on Microsoft Azure Cloud Services.

 

Conclusion

Znode is unique E-commerce platform for online stores with high consistency and extensibility. Using Znode, eCommerce solution providers India can create personalized E-commerce shopping cart which results in higher conversions, revenue and meet customer expectation. Znode is also beneficial for global businesses as it offers multilingual and multi-currency features which increase customers, income and profit.

Bibliography

Builtwith. (2017, 2 8). Retrieved from Builtwith: https://trends.builtwith.com/shop/Znode

Ucommerce – The Ultimate E-commerce solution

What is uCommerce? Ucommerce is referred as Ubiquitous Commerce and widely used by eCommerce service

What is uCommerce?

 

Ucommerce is referred as Ubiquitous Commerce and widely used by eCommerce service provider companies to deploy and publish eCommerce portals and websites for varied requirements. The development of uCommerce is based on information and Technologies and is device as well as place independent. The use of ubiquitous network supports uninterrupted communications and transaction at any level.

Ucommerce is described as evolution of E-commerce as well as M-commerce also with V-commerce and television-commerce as it involves the use of ubiquitous networks for communication support. It is said that it is combination of electronic, wireless/mobile, television, voice, and silent commerce. Ucommerce is used with Umbraco or SiteCore.

Technology

The underlying technologies of UCommerce includes M2M communication, GPS (Global Positioning System), RFID (Radio-Frequency Identification) and AI (Artificial Intelligence). Ucommerce comes into existence for the standardization of network infrastructures, standardized wireless communication protocol and compatibility of system softwares.

Analysis

   
Brief Used to refer to the wireless communication, exchange of information among users, retailers, consumers and systems.
Framework Based on information and communication technologies like Internet, Wireless LAN, UMTS, HSDPA, TV technologies/add-ons like Teletext and increasingly IPTV, EDI, XML, Web Services.
Features
  • Ability to connect at any time regardless of page and also have integration of human – computer interaction in most of the devices.
  • Unique identification of each costumer, current context, needs and location resulting into individual service.
  • Data integration across applications and devices to provide consistent data irrespective of place and device.
Type E-Commerce website
Supported databases Order Processing Systems works on SQL or MySql. Product related info are stored in NoSQL database like MongoDB, Riak or RocksDB
Programming Language Based on technology used
Supported browsers Based on technology used
Open Source No
Price Paid versions are available depends on features.
Benefits
  • Supports highly customizable product presentation.
  • Supports best way to manage content and data in flow.
  • Inventory management
  • Multiple Language Support
  • Multiple Store Support
Disadvantages Requires Umbraco or SiteCore CMS setup and running before you can setup uCommerce.
Support Support is available through community forums

Conclusion

uCommerce requires Umbraco or SiteCore as a base to build an eCommerce website. Using uCommerce with Umbraco, the major benefit is that if the site is currently built in Umbraco, eCommerce solution provider companies can facilitate their customers sell online from the same interface that they’re already using providing full end-to-end solution for the customers.

Ucommerce represents anytime, anywhere commerce. As Ucommerce has wireless communication and unique identification irrespective of place and device one who wants global business can use ucommerce. It makes many daily activity faster and more cost-efficient. As it has wireless connectivity, it is convenient to use irrespective of place and time.

Statistical analysis of DotNetNuke, Web Content Management System

What is DotNetNuke? DotNetNuke is Web Content Management System (WCMS) used for managing any website

What is DotNetNuke?


DotNetNuke
is Web Content Management System (WCMS) used for managing any website and helps user to update and manage content of the complete website on the fly. DotNetNuke is fairly easy to use CMS that requires less to nominal technical knowledge. It is also extensible to any third party apps for extra features and functionality as per requirement and it is highly recommended by DotNetNuke software companies in India. It is designed for all types of websites and businesses. It helps you manage all different types of web site content. The UI used in DNN is user friendly and thus its easy to navigate and understand. DNN UI can be changed as per the requirement. Security access is also provided based on User type.

Statistical analysis of DotNetNuke

DNN uses three-tier architecture model with core framework. As it is written in C# language it supports Web Forms, as well as Model View Controller (MVC) and Single-page applications architecture. It is said that DNN is dynamic in terms of functionality, features and security. So let us have a look at various features and attributes associated with DotNetNuke.

   
Brief DotNetNuke was based on an earlier application called IBuySpy Workshop, written by Shaun Walker. DNN allows individuals to perform activity or any features as per their requirement with the application framework both commercially and non-commercially.
Holding company DNN Corporation
Framework Supports Microsoft ASP.NET 4.5.1+ and also new cross platform free and open source .NetCore
Features
  • Rich-text editor
  • Cloud-Ready with Azure
  • Mobile API
  • Multiple Portals
  • Robust Security
  • Access Control
  • Easy Customization
  • User Friendly
  • Simple Administrations
  • Network Support 
  • others as mentioned on their website.
Type WCMS, Web Framework.
Supported databases Microsoft SQL Server 2008 R2, 2012, 2014 , 2016 (for DNN 8.0.4+)
Programming Language C#
Supported browsers
  • Chrome
  • Microsoft Edge
  • IE 11
  • Firefox 8+
  • Safari for MAC
Open Source Yes
Price Paid versions are available depends on features.

Usage

Ref -  (Builtwith, 2017)

208,668 websites
Benefits Easy to learn
Consistency in code
Application of third-party app and add-ons are easy to use Powerful tools
Simple Implementation
Lots of built-in functionality
Disadvantages Drops skin time to time and won’t apply till server restarts Documentation is brutal
Support Online forum

Popular sites

Ref - (W3Techs, 2017)

  • Bni.co.id
  • Priberam.pt
  • Drosskype.com
  • Ssaa.ir
  • Mweb.co.za
  • Roshd.ir
  • Mebank.ir
  • Pichincha.com
  • Af.mil
  • I-say.com

Marketshare

Ref - (W3Techs, 2017)

0.5% of all the websites whose content management system we know. This is 0.2% of all websites.
Awards and recognitions As per cmscritic, DNN received multiple accolades from CMS Critic in 2013. As per sources, DNN platform is nominated for Best Open Source CMS Selection.

Conclusion

DNN is an ideal solution for creating wide range of commercial applications and websites that allows using third-party products and add-ons or custom tools. This is highly recommended by C# software development companies India. DNN eases the work of developers, designers, administrators, editors, and other users of the system or website. As DNN’s skinning engine is extremely flexible, it is easy to get better and as per user requirement attractive UI. DNN has the ability for the administrations tools to fully integrate into the websites which makes it easy to modify things. It is used to make professional websites, social intranets, community portals, etc. and mostly preferred for medium sized eCommerce.

Bibliography

Builtwith. (2017, 02 07). https://trends.builtwith.com/cms/DNN-Software. Retrieved from https://trends.builtwith.com/cms/DNN-Software: https://trends.builtwith.com/cms/DNN-Software

W3Techs. (2017, 2 7). W3Techs. Retrieved from W3Techs: https://w3techs.com/technologies/details/cm-dotnetnuke/all/all

 

 

What are different types of Big Data as a Service (BDaaS)

The fame of Big Data lies within its wide-ranging definition of employing high volume, velocity, and

The fame of Big Data lies within its wide-ranging definition of employing high volume, velocity, and different data sets that are difficult to manage and excerpt value from. Clearly, most software development companies can identify themselves as facing Big Data challenges and chances today or in future. This, therefore is not a new issue yet it has a new quality as it has been aggravated in recent years. Cheaper storage and omnipresent data collection and availability of third party data has overtook the capabilities of traditional data warehouses and processing solutions. Businesses investigating Big Data frequently recognize that they lack the capacity to process and store it sufficiently. This shows either an inability to employ existing big data sets to the fullest or inability to expand their current data strategy with additional data.

Three strata of cloud computing as a service

Big Data as a Service is in the business of countless as-a-Service offerings. The most noteworthy ones that allow us to classify any subsequent services are threefold. Infrastructure as a Service (IaaS), e.g. virtual machines, networks, storage devices, or servers, is the most basic building block and includes everything (real or virtual) you would expect inside a data center. Above this level, exists the Platform as a Service (PaaS) which includes frequently employed software like web and database servers, or Hadoop and its ecosystem. At the next level is Software as a Service (SaaS) which are still nonspecific but more user interactive services like Email, CMS or CRM. Finally, past SaaS are usually domain or business specific applications.

Hadoop or a substitute distributed compute and storage technology at the platform level naturally builds the core of a BDaaS. Subsequently, any BDaaS solution includes the PaaS layer and may be SaaS and/or IaaS. This leaves us with four possible groupings for BDaaS:

  • PaaS only – focuses on Hadoop
  • IaaS and PaaS – focuses on Hadoop and optimizes infrastructure for performance
  • PaaS and SaaS – focuses on Hadoop and productivity & exchangeable infrastructure features
  • IaaS and PaaS and SaaS – focuses on total vertical integration for features and performance

Big Data as a Service Models

               

Big Data as a Service (BDaaS) offerings in the cloud can be categorized into one of four types:

Core BDaas

The core BDaaS implements the minimal platform, e.g. YARN and HDFS having Hadoop and a few popular services like Hive.  Amazon Web Service’s Elastic MapReduce (EMR) is the most noticeable core BDaaS and represents this model. EMR is one of myriad services in Amazon’s offering and EMR assimilates well with many of the other services just as NoSQL store DynamoDB or S3 storage. Users can combine them to build something like data pipelines to a comprehensive full company infrastructures around the EMR service. However, composability of its services being Amazon’s strength, also signifies that the core BDaaS offering is meant to stay nonspecific to interact with the other services.

Performance BDaaS

One way of vertical integration for BDaaS is in the downward direction to include an optimized infrastructure. This allows to get away with some overheads of virtualization and specifically build hardware servers and networks keeping in mind Hadoop’s performance needs.

Businesses are served, understanding and working with Hadoop that are rising, but are held back by scale and complexity. The software development company can outsource their infrastructure and platform needs and management around Hadoop to an infrastructure service provider. Business can then emphasize on putting Hadoop to work and the stack from SaaS upwards. A package pricing strategy based on storage and compute usage aims to remove common problems of choosing between performance and cost optimization, and give anticipated, fixed costs.

Feature BDaaS

The other way of vertical integration for BDaaS is in upward direction to include features past the common Hadoop ecosystem offerings. The feature driven BDaaS emphases on efficiency and abstraction to get users started with Big Data quickly. The feature BDaaS company’s services includes web and programming interfaces and database adapters pushing technologies like Hadoop into the background and their service reaches into the SaaS layer. In fact, Hadoop clusters are initiated, scaled and even stopped transparently according to the load requirement.

The feature method uses IaaS to provide computing and storage with a noteworthy difference. Being independent from a cloud provider allows a feature BDaaS to leverage computing and storage as a fully scalable and more importantly interchangeable commodity. Amusingly, the compute and storage from IaaS are pass through pay as you go and thus ideal for very variable, volatile, or exploratory workloads.

Integrated BDaaS

Finally, another possibility is a fully vertically integrated BDaaS that syndicates the performance and feature benefits of the previous two BDaaS. This is an interesting approach since it could result in the perfect BDaaS, which is productive and supports business users and experts, and provides supreme performance. Both feature and performance BDaaS are at initial stages and the integrated BDaaS could in practice turn out to be a good solution to this difficult problem.

Conclusion

As Big Data is growing as a topic, business and service models are evolving and we can see the similarities and differences between the three competing types of Big Data as a Service. The core BDaaS has been around for quite a time and is in use by many software development companies especially as part of a bigger architecture or for uneven workloads. It has settled as a model supporting the provider’s broader service architecture.

The feature BDaaS needs a proof to be competitive on a performance level, though the commoditization and service level generalization means that at the end of the day, winning of this model isn’t dependent on squeezing the most performance from comparable hardware, but on a dollar to dollar basis. The performance BDaaS, will face business demands from companies that diminishingly are willing to take on the complex challenges of building their own data architecture and linked SaaS layer, and progressively want to focus on their value adding domain specific processes.