And Along Came Android

Android is a software system package and UNIX operating system based mostly OS for mobile devices like pill computers and smartphones.

The goal of the project is to form a self-made real-world product that improves the mobile expertise for users.

What is Open Handset Alliance (OHA)?

It’s a consortium of 84 companies such as google, samsung, AKM, synaptics, KDDI, Garmin, Teleca, Ebay, Intel etc.

It was established on 5th November, 2007, led by Google. It is committed to advance open standards, provide services and deploy handsets using the Android Platform.

Why Is Android  So Popular?

• It is open-source.
• Anyone can customize the Android Platform.
• There are a lot of mobile applications that can be chosen by the consumer.
• It provides many interesting features like weather details, opening screen, live RSS (Really Simple Syndication) feeds etc.
• It provides support for messaging services(SMS and MMS), web browser, storage (SQLite), connectivity (GSM, CDMA, BlueTooth, Wi-Fi etc.), media, handset layout etc.

Now that we know and understand a bit about Android, we would love to showcase a few amazing Android features you might have not probably tried.

1. Use your smartphone camera’s ability to detect infrared light to determine if your remote control’s batteries are dead.

“Our eyes can’t see it, but digital cameras surely can. A smartphone’s camera is indeed sensitive to IR radiation, and if you want to try it for yourself, just use a common IR remote control. The infrared beam emitted when a button is pressed will show as white or purple light in the viewfinder of your camera app. You can use this trick to check if a remote control’s batteries are dead when it stops working.”

2. Field Mode: *3001#12345#*

The USSD protocol allows you to access hidden features you didn’t know about right from your smartphone’s dialer. But there is some trickiness you’ll need to know about.

Type *3001#12345#* into your phone’s dialer and then press the green call button to access “Field Mode,” which can give you access to info about local networks and cell towers.

You’ll probably never ever have to know about your local cell tower’s “Measured RSSi,” but it’s fun to look around for a bit.

3. Force reboot

All of a sudden android devices freeze on few occasions. In case your android phone is frozen, you can reboot it instead of trying out other things and getting irritated by doing so. Just press Power Button+ Home Key + Volume up button simultaneously.

4. Get detailed information about phone status

We can get the detailed statistics related to our device like phone information, battery information, usage statistics and WiFi information by just dialing *#*#4636#*#* This is a handy USSD to get the details about battery usage, DNS check, Ping, Application time, usage time and so on.

5. Android Launchers

We don’t know how many of us actually use different launchers available in the play store. Generally people stick to the launcher provided by the manufacturer, and never realise that this can be modified. The launchers available these days can totally modify the look of the home screen and provide additional functionality to the phone. Just search for launchers in the play store.

The Industrial Internet Of Things

The increase in the internet speed has spawned multiple use cases and technologies such as Wi-Fi, Bluetooth, etc. This enables the existence of a network layout that connects various gadgets and electronic devices (enabled with Wi-Fi connectivity) to share and exchange data. This way a user is able to operate any of the Internet of Things or IoT- enabled devices using a portable device such as a smartphone.

While IoT has a number of interesting and possible applications for personal use, there is a wider scope to it for industrial use as well (popularly known as Industrial IoT or IIoT). However in order to widen its coverage and improve adoption rates it is important that companies already utilizing IIoT improve the yields they derive from this technology. This can become an automatic impetus for companies to embrace this technology in the near future.

How can one increase the output of IIoT technology?

IIoT’s increasing role increases the scope to a wider platform that covers innovation opportunities at governmental levels as well. In addition, many major companies are looking forward to adapting this evolving technology in their products and services to ensure a much faster and convenient way of communicating with devices. Here are some possible areas:

• Production:

To ensure a higher level of analytical and prognostic processing, companies can use this high-end innovation to optimize the manufacturing and repairing techniques for their products. Many private and public sectors around the world including the U.S. Army’s Logistics Support Activity (LOGSA) operation has been implementing IoT aspects for increasing the performance of production. The operation unit further noted that there was a decrease in the manufacturing break by almost 20% after the adaptation of Internet of Things-enabled units.

• Utilities and Energy:

Another major advancement opportunity using IIoT is in the energy and utility sectors. With it, these sectors can use predictive methods to analyze and maintain the power for continuous supply of energy wherever needed.

• Infrastructure:

Managing infrastructure is quite hectic. However, with the use of IoT, there is a chance of improving the building operations. Some have already implemented it and have already experienced a dropdown of 20 percent in the infrastructure costs.

• Retail Sector:

Any company that is using this technology understands the benefits. One of them is that a customer who purchases a unit from such a company may never even have to speak directly to its customer service for a complaint about a product. This is because IoT enabled devices analyze and predict any maintenance requirements or defects in the products to keep them working as well as communicate with the end customers more effectively. A major brand who has implemented this technology is Whirlpool.

• Transportation:

Internet of Things also has a great opportunity in improving logistics service providers. Its implementation can easily reduce the time it takes to transit various shipments as well as reduce chances of errors or fraud. Such attributes enable companies to keep track of the shipping documents, any digital signatures, inventory management, etc., to enable a much higher level of transportation process.

Thus, with IoT there is great chance of improving not just your residential areas, but also the industrial sectors. So, are you ready for the IIoT technology implementation in your commercial layout?

Python – The Coder’s Marathon Tool

Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. It was created by Guido van Rossum during 1985- 1990. Like Perl, Python source code is also available under the GNU General Public License (GPL).

Today, we bring to you 10 advantages that you might have not known about Python.

1. Easy Syntax

Python’s syntax is easy to learn, so both non-programmers and programmers can start programming right away.

2. Readability

Python’s syntax is very clear, so it is easy to understand program code. (Python is often referred to as “executable pseudo-code” because its syntax mostly follows the conventions used by programmers to outline their ideas without the formal verbosity of code in most programming languages; in other words syntax of Python is almost identical to the simplified “pseudo-code” used by many programmers to prototype and describe their solution to other programmers. Thus Python can be used to prototype and test code which is later to be implemented in other programming languages).

3. High-Level Language

Python looks more like a readable, human language than like a low-level language. This gives you the ability to program at a faster rate than a low-level language will allow you.

4. Object oriented programming

Object-oriented programming allows you to create data structures that can be re-used, which reduces the amount of repetitive work that you’ll need to do. Programming languages usually define objects with namespaces, like class or def, and objects can edit themselves by using keyword, like this or self. Most modern programming languages are object-oriented (such as Java, C++, and C#) or have support for OOP features (such as Perl version 5 and later). Additionally object-oriented techniques can be used in the design of almost any non-trivial software and implemented in almost any programming or scripting language. (For example a number of Linux kernel features are “objects” which implement their own encapsulation of behavior and data structive via pointers, specifically pointers to functions, in the C programming language).

Python’s support for object-oriented programming is one of its greatest benefits to new programmers because they will be encountering the same concepts and terminology in their work environment. If you ever decide to switch languages, or use any other for that fact, you’ll have a significant chance that you’ll be working with object-oriented programming.

5. It’s Free

Python is both free and open-source. The Python Software Foundation distributes pre-made binaries that are freely available for use on all major operating systems called CPython. You can get CPython’s source-code, too. Plus, you can modify the source code and distribute as allowed by CPython’s license.

6. Cross-platform

Python runs on all major operating systems like Microsoft Windows, Linux, and Mac OS X.

7. Widely Supported

Python has an active support community with many web sites, mailing lists, and USENET “netnews” groups that attract a large number of knowledgeable and helpful contributes.

8. It’s Safe

Python doesn’t have pointers like other C-based languages, making it much more reliable. Along with that, errors never pass silently unless they’re explicitly silenced. This allows you to see and read why the program crashed and where to correct your error.

9. Batteries Included

Python is famous for being the “batteries are included” language.

There are over 300 standard library modules which contain modules and classes for a wide variety of programming tasks.

10. Extensible

In addition to the standard libraries there are extensive collections of freely available add-on modules, libraries, frameworks, and tool-kits. These generally conform to similar standards and conventions; for example almost all of the database adapters (to talk to almost any client-server RDBMS engine such as MySQL, Postgres, Oracle, etc) conform to the Python DBAPI and thus can mostly be accessed using the same code. So it’s usually easy to modify a Python program to support any database engine.

Apache Lucene – High Performance Guaranteed

Apache Lucene is a high performance search and information retrieval technology. The basic language behind this open source search technology is Java Script and it is all compatible with all the applications which require a full text search, especially, in cross-platform. Due to its high performance, scalability and relevancy, many bigshot organizations like IBM, AOL and Comcast Interactive Media bank upon it.

Currently, it is the powerful tool, running successfully all over the world. It also has great contributors, contributing from all around the world. Some of them are CNET, APPLE, Linkedin, IBM, Monster, MySpace, etc.

Why is Lucene the number one searched technology?

There are many specific features of Apache Lucene; let us discuss its 3 most powerful advantages:

1-Speed and high performance indexing

In terms of speed, there is none that can match Apache Lucene. This benefit is due to its Java framework. It only takes sub-seconds to result a query and this makes it very effective solution for any organization. It has great parameters to stand out from the crowd and efficiency is what, that makes it likable of all business players. As the speed increases, so does the overall performance. It also has a very small requirement of RAM, maximum 1MB. Also, its incremental indexing is faster than batch indexing.

2-Efficient and accurate search algorithms

In terms of Algorithm, it has ranked highest with best results returning first. In fact, to support the most accurate search, it features power queries including proximity queries, phrase queries, range queries and wild card queries. The option of field searching is available and you can start the search even by the name of author, title, and other search terms.

To elevate accuracy in the search function, it has multiple-index search features with merges results. It allows searching and updating simultaneously to provide the best results. Some of the pluggable ranking models used by Apache Lucene are OkapiBM25 and Vector Space Model. It also provides features like highlighting, flexible faceting, and result grouping.

3-Open source and cross Platform

Apache Lucene an open source program by Apache Software Foundation. It is currently free for all types of usage, including the open source programing and commercial purposes. There is no initial cost of the software and hence, it is quite benefiting for the businesses which are too new to input funds in software development, etc. Also, besides it has 100% javascript, it can still be implemented in other programming languages as well. However, the other implemented language should be index-compatible.

In fact, Apache Lucene provides complete source code so that the organization, using it at user end, does not need to re-write its own code. In fact, the most interesting fact is that, Lucene has forums for discussing the shortcomings while handling it. You can actively participate in discussions to help resolve other’s issues or get cleared off yours.

Apache Lucene has quickly emerged as a search technology of the latest generation packed with an array of powerful features. So, with the 3 above mentioned advantages, it certainly makes the best open source software to be used by any organization.

Learning Big Data The Right Way

Who should learn Hadoop? – Anybody with basic programming knowledge can learn Hadoop. Mostly professionals from Business Intelligence (BI), SAP, Data Warehouse, ETL, Mainframe background or any other technology domain can start learning Big Data with Hadoop.

When we are discussing the prerequisites for Hadoop, we need to understand that Hadoop is a tool and it does not have any strict perquisites or requirements before because of this only it is the most powerful and useful tool in today’s data world. We need to understand why Hadoop is impacting so much because it is not fixed or restricted in a particular domain.

There is no strict prerequisite to start learning Hadoop. However, if you do want to become an expert and make an excellent career you should at least have a basic knowledge of JAVA & Linux. Don’t have any knowledge of Java & Linux? No worry. You can still learn Hadoop. The Best way would be to also learn Java & Linux parallel. There is an added advantage of learning Java and Linux that we will explain in following points

• There are some advance feature that are only available in Java API.
• It will be beneficial to know Java if you want to go deep into Hadoop & want to learn more about the functionality of particular module.
• Having a solid understanding of Linux Shell will help you understand the HDFS command line. Besides Hadoop was originally built on Linux & it is preferred OS for running Hadoop

There is no strict prerequisite to start learning Hadoop. However, if you want to become an expert in Hadoop and make an excellent career, you should have at least basic knowledge of Java and Linux

To completely understand and become proficient in Hadoop there will be some basic requirements to which developer needs to be familiar with. Familiarity with Linux Systems is a must. Most people lack this ability.

For Hadoop, it depends on which part of the stack you’re talking about.  For sure, you’ll need to know how to use the GNU/Linux Operating System.  We would also highly recommend programming knowledge and proficiency in Java, Scala, or Python.  Things like Storm give you multiple languages to work with.  Things like Spark lend itself to Scala.  Most components are written in Java so there’s a strong bias to having good Java skills.

“Big Data” is not a thing, but rather descriptive of a data management problem involving the 3 V’s.  Big data isn’t something you learn, it’s a problem you have.”

More and more organizations will be adopting Hadoop and other big data stores which will rapidly introduce new, innovative Hadoop solutions. For this, Businesses will hire more big data analytics to provide a better service to their customers and keep their competitive edge. This will open up capabilities for coders and data scientists that will be mind-blowing. – “Jeff Catlin, CEO, Lexalytics”.

So, we recommend the following to kick-start your career in Hadoop. 

• Linux Commands – for HDFS [Hadoop Distribution File System]
• Java – For Map Reduce
• SQL – For Databases
• Python to write codes.

Go big with big data!

Augmented Reality – The Good, Bad and Ugly

Remember Pokémon Go? Yes, the game in which we had to trace the Pokémon and capture them. Well, it turned out to be one of the biggest Augmented Reality success stories in recent times. It also presented ways in which AR can go mainstream without impacting the ease of use and overall used experience generated by such new age technology disruptions.

But to drive the business in better ways, Augmented Reality has to overcome all the challenges which it faces. So, it won’t be wrong to say that there are still miles to go for AR to be embraced at a broader level by end users. Let us check out these challenges which are still restricting AR to come into the mainstream.

Challenges of Augmented Reality

1. Technical Challenges

When it comes to organizations who are looking to get a fully functional Augmented Reality solution, they will need a lot of components. Although the development process of AR applications is no different there are certain technical challenges like Unity 3D engine, content, hardware, awareness of the common public, and education.

On these fronts, we are still lacking by quite a distance. So, until and unless we are capable of tackling these technical shortcomings, AR cannot be properly visualized in an organizational scheme of things.

2. Devices used in AR

As mentioned earlier, AR apps are no different and can run in any of the tablet or smartphone. You can even call AR apps omnipresent. But what makes it lag are crucial hardware elements like cameras, screens, motion sensors, processors and lastly, high speed internet connectivity.

Now for a minute, let us assume that we have everything, but what about other hardware like Google Glass, HoloLens, AR headsets, and Meta, which are still far from the reach of common public to derive the delight and thrilling experience that Augmented Reality has the potential to provide?

3. Unavailability of Content for AR Apps

You have a smartphone, but you do not have any application to play- how will you feel? Yes, this is the same situation with Augmented Reality these days. We might get hardware like HoloLens and Google Glass soon but what about the content and AR applications that will provide the user with this unique experience? There is a huge demand for such interactive content and companies are still in the process of creating and generating such high engaging content on a regular basis.

So, in a nutshell, the AR ecosystem is growing gradually, but due to the lack of interactive content, people are not very motivated to adopt this new technology.

4. Lack of public awareness

This is more of a social challenge. Whenever a new technology is released it takes time to become widespread among its users. Same is the case with AR (Augmented Reality).

Common people are still not aware of the potential of AR and hence, they cannot even relate to it in their daily lives.  Therefore, it would not be wrong to say that AR is still in its nascent phase. It will take time to be fully embraced by the public.

Thus, these are the 4 challenges which Augmented Reality companies are facing these days. The focus should be that these challenges are soon overcome by devising and implementing the right business tactics.

Amazon Is Really Prime

There is a myriad of reasons about why most businesses use Amazon Web Services. Amazon offers with top-notch cloud hosting services that are better than most of regular cloud hosting services. Let us look into top five reasons that make this incredible service so popular with businesses irrespective of scale or size.

1. Performance

There are certain factors, which a business requires while getting a web hosting service. The factors are significant performance, optimal security, quick disaster recovery, 24/7 management and flexibility. These factors save a lot of time and money being invested in a business and offer 99.99% reliability with seamlessly automated working. Well, AWS has all these factors and that is why, it is a class apart from other service providers.

2. Cost effective

When looking around for web services, every business needs something that is cost effective and affordable. The amount of money that a business saves with web services can be used in other areas like for gaining traffic and conversion rates.

Amazon Web Services offers convenience where a business has a complete control over its resources. When needed, they can switch on the auto-scale feature and turn it off again when not required. This gives a business the right of selection of services for which they decide to pay.

3. Flexibility

During peak times, most business owners end up investing more money in resources they don’t need; simultaneously, increasing the upfront cost for any business owner. When using Amazon web services, it is easy to customize, upgrade, maintain and configure programs and software with flexibility.

Business owners can even scale the services that meet all their requirements, eliminating extra investment of time and money. Selection can be made from multiple applications, tools, database, language, script and operating systems, available with AWS.

4. Timeliness

While provisioning the server, any local company would take more than 48 hours to do so which is no less than a pain. But it is totally different with AWS; it takes minutes to provision the server and test it.

In fact, the use of Amazon Machine Images will enable the business to accept as much as connections it wants, within a short span of time. The service is very ideal for the situation when a business is running its promotional campaign and accepting a lot of traffic to hit it websites in a fraction of seconds.

5. Try for free

In general, services which are simple to use and offer affordability at the same time are very much preferred. But again, just because something has affordability and availability, these do not simply make it a better option.

Amazon Web Services (AWS) is familiar with this concept. It offers the opportunity to register for free and use the services, at least for one year. Only a few months will be enough to understand the importance of buying the paid services, though!!

Some additional benefits are

• 5 GB storage capacity
• 24x7x365 customer support center
• Public forums
• Guidelines, documents and papers
• Elastic compute cloud system, including 750 hours usage monthly for Linux and Windows OS.

With Amazon Web Services, it is certain that your business has a lot to gain. Embrace this cutting edge on-demand cloud computing platform and get a performance powerhouse to deliver value for your business.

Cognitive Computing Trends

What exactly do you think as a human’s greatest possible skill? Solving problems is the greatest gift of God to the mankind because that brings us where we are today. Just a few decades ago when the revolutionary computers were introduced into the world, no one would have anticipated the machine to be solving our problems for us, only much better and with greater patience level.

Just as we’d have expected, we are advancing into the future faster than we invent all that we see today. The same is the case with C3PO which will be less to be seen in the future; that blessed us with Star Wars and Hal. The future, as we see it now, will be more about Cognitive Technologies, which comes with a greater ability to improve business management and the human-machine interaction.

How cognitive computing adds business value?

It is still a while before we put our best foot forward into the world of cognitive technologies, however, the value derived from cognitive computing cannot be disputed. Let us read the most probable changes it should bring to the business.

1. Increased productivity and better performance: With an impressive 360-degree view of financial and economic data for all the perspectives of a business, a better decision-making and forecasting is promised. Everything will be automated, including manufacturing, health diagnosis, failure detections in machines and lot more. Hence, the organizations embracing this change will definitely be more operational than before.
2. Improved customer experience: Just imagine the future of customer service with cognitive technology; a smart and customized service adapted by the preference of a customer would be a total win-win situation. An improved customer service means a leap in the number of customers, thus, a better and increased business. The cognitive technology also promises you to offer your customer a better buying experience. This will most probably be done by an analysis performed on the buyer’s personality by connecting with their social media profile.
3. Empowering employees with cognitive computing: If an organization has highly skilled professionals, then cognitive technology can help the organization to get best out of those skilled employees. As a skilled person can learn and grow simultaneously, the implementation of cognitive ecology will certainly help in achieving the task.
4. Consistent Analysis for the positive aspect of Business: With the implementation of cognitive technologies, the respective leaders can unfold a majority of their strategies to increase their business. With an effective level of accurate predictions, less number of untapped markets, and increase in product predictions, the business administration will work affluently than ever before.

The fascination for a better and an advanced future has greatly influenced lives around us. It is difficult to tell whether we are faster or still slower than what the previous generation might have imagined the life for the future. However, one thing is quite certain from the recent advancements – we are surely, entering another revolutionary era in human history. And cognitive computing is emerging as one of the biggest drivers of this change.

The Language Battle

Java and Python are two of most popular and powerful programming languages of present time. Beginner programmers are often confused about choosing the right one. Since we are a premier Java developing firm, our opinion is slightly leaned towards Java.

Although, hey! We love python too.

Java VS Python: Key Differences

• Braces vs Indentation
  • Python uses indentation to separate code into blocks. Java, like most other languages, uses curly braces to define the beginning and end of each function and class definition.
• Dynamic vs Static Typing
  • Java forces you to define the type of a variable when you first declare it and will not allow you to change the type later in the program. While Python uses dynamic typing, which allows you to change the type of a variable.
• Portability
  • Any computer or mobile device that is able to run the Java virtual machine can run a Java application, whereas to run Python programs you need a compiler that can turn Python code into code that your particular operating system can understand.
• Ease of use
  • Python is an easier language for novice programmers to learn. You will progress faster if you are learning Python as a first language than Java. However, the popularity of Java means that learning this powerful language is essential if you want your apps run everywhere.

Why People Choose Java

1. The strong java community

No matter how good a language is, it wouldn’t survive if there is no community to support. Java has a strong community who is ready to help throughout your career. I think its the reason why stackoverflow has the largest number of answers on java.

2. Java is free

If a programmer wants to learn a new language or an organization wants to use a technology, cost matters. This is why java achieved much popularity.

3. Huge collection of OpenSource libraries

Java is backed with a number of open source libraries that helps the developers to reduce their development time as well the lines of code. Some of these libraries are

• Apache Commons
• Google Guava
• JUnit
• SLF4J and Log4j

4. Powerful development tools

One can choose from several of the Development tools (IDE) that are available for java.

• Eclipse
• Netbeans
• IntelliJ IDEA
• jEdit
• JDeveloper

5. Java is platform independent

The main reason of Java’s popularity in the 1990s was the idea of platform independence.  Its tagline “write once run anywhere” attracted many developments into java. Most of the Java applications are developed in Windows environment and run in UNIX platform.

6. Java is Object Oriented and even supports functional programming with Java 8

Developing OOPS application is much easier, and it also helps to keep system modular, flexible and extensible.

The Python Advantage 

1. Python requires no “set up.” A full python environment is already on every Linux machine, and on Macs. On Linux, the program yum, or the Yellowdog Updater, Modified is written in python, so python is here to stay. Java requires a substantial amount of setup. So if you want to get started with python programming, just type python at the prompt. To start with Java, call someone who knows it.

2. The systems written in Java that we have purchased all suffer from the need to have particular versions of Java installed, and thick clients of these systems also have that requirement. Support of Java appears to be expensive. We do not yet have a similar number of python systems, but no one is expecting configuration management to be an issue with them. From an educational standpoint, this sounds like a good way to become frustrated.

3. Python has its own idiosyncrasies. In Java, every object must be a representation of some class, but in python the “variables” are of a unique flavor. Variables do not represent objects [cf. object: something in memory that has an address] nor are they pointers, nor are they references. It is best to think of them as temporary “names” for an underlying reality, much like the Allegory of the Cave in The Republic (Plato). From a learning standpoint, this may be more difficult for those of us with 35 years of experience than it is for those first taking up programming.

4. A number of companies are stuck with a great deal of legacy code written in Python 2. Consequently, Python suffers from a misconception about how strict or loose the typing system may be, and how strictly it may be enforced. Keep in mind that because Python mainly works with “names” of objects, we are really not discussing the same thing when we discuss types of Python’s objects that we are discussing in other languages. Python does offer some rather seamless type conversions that can make it seem that the concept of types is less strict than it is in fact. Learning Python 3 first makes sense, but most of the employment is still in Python

5. Compared with Java, python is terse. Personally, the growing amount of arthritis in our hands welcomes this feature. In truth, my C++ code was frequently criticized for its overuse of operator overloading and the ternary operator. This may not make it a good learning experience, because for many people learning comes more easily when the material is spelt out.

Our Advice

If you have to absolutely choose only one of the two and are not from computer science stream, definitely Python and if you are from computer science stream, Java. If no restriction, choose both.

Couchbase Vs MongoDb

Both Couchbase and MongoDB are document oriented databases which carry a document for their storage unit. It is not unknown fact that data rules pretty much in all that we do today. Everything is witnessed and stored in documents, both online and offline, soft copy and hard copy. And now we need some tools those are essential for the management of the data. This is where NoSQL database comes in to act as a backbone for taming the data.

With an increase in the use of technology, the demands for more facility increases, compelling every business to meet customer satisfaction. So, for the businesses dealing with data storage and its management, CouchBase and MongoDB are two of highly sought-after database service providers.

A comparison between the two is much needed for a better insight on which one to use for the greater benefit as a whole.

1. Fragmentation

Couchbase: Couchbase server breaks the data to count it horizontally. It first spreads out the hash space to all the server in the community formed by the clustering of data. The placing of hash is later used to count it, which is determined by the key available in each document.

MongoDB: MongoDB uses the fragmenting method as it is entirely a document-based data model. Its key will lead you to the exact location of the document in the web of documents.  The difference here is that, MongoDB gives you the free will of choice for placing the fragment key; whereas, the Couchbase does the entire fragmenting itself without your intervention/choice.

Winner: – MongoDB

2. Performance

Couchbase: Very impressive to note is the simple architecture of Couchbase, which efficiently performs all the write operations when applied to a large number of data centers without any breakdown, whatsoever. This directly shows its fluent performance and minimized or rare cases for inactivity.

MongoDB: Due to its architecture, sadly, MongoDB fails to meet your business expectation of assessing the workload when a large number of data centers are applied.

Winner: Couchbase

3. External Cache

Couchbase: Couchbase is completely incorporated and organized within itself. It raises no action for the use of an external cache, at all. Its application is really easy to execute and has no complexities with multi-parts. A user can never lose his path somewhere between learning the adjustments!

MongoDB: MongoDB which cannot serve concurrent customers in its list of services, does need to add an external cache for assistance to serve the users. This not only costs more money but even raises complications while working. MongoDB needs a lot of physical attention of its user, as well as a number of needful added arrangements.

Winner: Couchbase

From the above given comparison, it is evident to see that Couchbase narrowly edges MongoDB and comes out a winner of this comparison. It is hard not to appreciate the user-friendly built and easy to execute usage of it. Couchbase, for its simple format and subtle structure, is easy to deploy because tasks like installation, configuration, and records management pretty simplified.