A Detailed Comparison Between NoSQL and MongoDB

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A NoSQL database is basically a largely distributed database system that proves to be effective for ad-hoc and rapid organizations. NoSQL database is also referred to as a cloud database, as it is a non-relational type database. Sometimes, it is also called as Big Data Database, as it can store as well as analyze a high volume of virtual or digitalized data. NoSQL database is generally used for storing user-generated data and various applications or machine-generated data. Some of the key factors behind the popularity of this database framework are seamless data availability, scalability, and efficient fault tolerance.

From the perspective of a business house or organization, using a NoSQL database or ‘Big Data’ environment is advantageous as it provides an effective competitive edge. Judging today’s scenario, it is often said that if your data is increasing then surely your business is making positive progress. With an increasing amount of data, it is necessary for a business house to provide a secured platform to the data. Not just security for data, a good database platform should assist in storing, sorting and organizing data. With a NoSQL database, users can manage a high amount of data without facing any sorts of technical glitches.

NoSQL Database Options or Types

When it comes to the types of options for NoSQL database, four general classifications can be noted. Here are those types at a glance for you:

  • Key-Value Store : This is considered as the most basic type of NoSQL database. Being a basic type, it offers the least complex NoSQL options to the users. The main goal of this kind of NoSQL database is to store data in a schema-less way.
  • Column Store : This is also known as wide column store. The main feature of this type of NoSQL database is that instead of storing data in rows, it uses data table format for storing data. This kind of database type has been designed to provide high performance and high-end data scalability options.
  • Document Database : This kind of database system is based on the basic idea of key-value stores. It is basically an expansion of Key-value Store, where documents are more complex. Documents are assigned in unique keys. This efficient type of NoSQL database enables easy data storing, sorting and retrieving.
  • Graph Database : This type of NoSQL database has been designed to offer graph-based data storing. The concept of this database type is based on graph theory. Data, which can be represented in graphs, are considered as suitable to be stored in this type of NoSQL database.

Advantages of NoSQL Database

With changing business requirements, the NoSQL database has become imperative for the online based business for storing their web applications. Here are some of the benefits of it at a glance:

  • The Growth of Big Data : Big Data is a key factor behind the acceptability of NoSQL database.
  • Location Independence : NoSQL database offers location independence to the users. Being cloud-based data server, it can be accessed from anywhere.
  • Increased Data Protection : it provides high-end data protection.
  • Continuous Data Availability : NoSQL database offers zero interruptions in data availability process.

Due to all these reasons, the NoSQL database is gradually becoming popular amongst application developers and business organizations. To know more, you can check RemoteDBA.com.

A Guide to Salient Features of MongoDB

When it comes to database management platforms, MongoDB is always considered as one of the best platforms. It has to be remembered that MongoDB was introduced to overcome the limitation of the NoSql. So, when comparing the two, we shall find some sharp differences. In the following section, let us analyze the salient features of MongoDB.

1. Aggression Framework

To use the database platform more effectively, MongoDB offers aggression feature to the users. It can be used for batch processing of data with seamlessness. It has come with a feature, namely MapReduce. This feature is there to assist the users in managing big data more efficiently. MapReduce is basically a programming model, which consists of two components. They are map and reduce respectively. The first component, i.e., the map has been used for the purpose of filtering and sorting. The second component reduce has been used for the purpose of summary operations.

2. Use of BSON Format

MongoDB uses BSON format which is a crucial feature of this database management platform. What is BSON? How is it helpful? Well, for the beginners, BSON can be described as similar to the binary JSON format. With this format, MongoDB stores the documents in proper order. It will be easier for users to sort the data through various attribute or document properties. For example, users can sort data through dates, size of files and many other things. Overall, it makes the process of database management simpler as well as seamless.

3. Ad Hoc Queries with MongoDB

With the help of MongoDB, regular expression and range queries can be conducted with ease. If you are accustomed to Javascript functions, using the ad hoc feature of the MongoDB will not be a great deal of concern or worry. With the use of the unique query language, it helps in the process of indexing the BSON documents.

4. MongoDB Schema

Another notable thing is that MongoDB comes with Schema-Less database and this is the biggest difference between MongoDB and NoSQL database server. This makes the MongoDB more flexible than other database systems. It helps the users to make use of the system more seamlessly. Database management will turn easier as well as simplistic.

5. Clapped Collections

MongoDB comes with fixed–sized collections in offering for the users. There are specified sizes, and once it has been reached, the database transforms into a circular queue. Due to this reason, MongoDB is considered more advanced than NoSql.

There are many different differences between these two and to understand those differences you need to use them side by side. Many people feel comfortable to use NoSql, though there is no doubt that MongoDB comes with a few more advanced features.