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The Ever Evolving and Advanced Database Landscape for Better User Experience

Before delving into the difference, advantages and disadvantages of the SQL and NoSQL, it is of utmost importance to explore the concepts a bit in detail. But all these concepts actually melts down to providing the most superior user experience in a time bound manner yet constructive manner. With the passage of time database developers are engaging in bettering things because the technology related to storage of data is going through massive changes.

At the most basic level SQL is a relational database. The relational database firmly utilizes relations or tables for the purpose of data storage. This type of database matches data by utilizing the similar features that are located in the dataset. As a result of this the group that forms is known as Schema. The most appropriate example is the Microsoft SQL server. It is a relational database that is utilized to store and salvage data by applications on the same computer or over the network.


Elementary features of SQL server:

  • SQL is a relational database which is a set of tables that accommodate data fitted into predefined classifications.
  • Each and every table consists of one or more data categories in columns.
  • Each and every row consists of an exclusive example of data for the categories defined by the columns.
  • Users will be able to access data from the database without having any knowledge about the structure of the database table.

NoSQL incorporates a variety of different database technologies that were developed to deal with the growing volume of data stored that are related to users, objects and various products, the regularity with which this data is accessed and the performance and the processing requirements.

Types of NoSQL database:

  • Document Databases
    In Document database data is not stored in rows and columns in a table rather the data is put away in documents and these particular documents are grouped together in collections. Examples of document database are Mongo DB, Arango DB, Couch DB, Rethink DB and many more.
  • Graph Stores
    This is utilized for data those relations are better established in a graph. Data is kept in graph structures with nodes, properties and lines. Few examples of this are as follows-Sparksee, Infinite Graph, Info Grid, Graph Base and many more.
  • Key-Value Stores
    In this the data is stored in an associated group of key value pairs. The key is an ascribed name which is associated with a value. Examples of this are Dynamo DB, Aerospike, Level DB, Oracle NoSQL Database and many more.
  • Wide- Column Stores
    In place of tables in this database one gets column families which are containers for rows. Few examples of this database are as follows- HBase, Cassandra, Hyper table, Amazon Simple DB and many more.


Elementary features of NoSQL databases:

  • Derives superior performance by utilizing several general purpose machines in a dispersed manner.
  • Copies data in order to attain data redundancy and load dispersal.
  • Since the data structure is supple there is no need to describe a structure as a database schema.

There are some fundamental differences between SQL and NoSQL databases and those are elaborated below:

1 SQL databases are generally known to be relational databases. NoSQL databases are mainly known to be non-relational or distributed databases.
2 SQL database has predefined schema. NoSQL databases have active schema which caters to the unorganized data.
3 SQL databases are vertically scalable and the increasing load can be handled by increasing the RAM, CPU, etc. on a single server. NoSQL databases are horizontally scalable and a few extra server can be easily added to the NoSQL database infrastructure in order to manage the huge traffic.
4 SQL databases are a perfect match for complicated inquiry intensive environment. NoSQL databases are not suited to complex queries.
5 SQL databases are not perfectly suited for hierarchical data storage. NoSQL is better suited to hierarchical data storage as it follows the key-value pair method of data storage.
6 SQL databases stresses on ACID properties (like Atomicity, Consistency, Isolation and Durability). NoSQL databases follows the Brewers CAP theorem.
7 SQL databases can be classified as open-sourced or closed-source. NoSQL databases can be classified depending upon the way of storing data as graph databases, key value store databases, document store databases, column store databases and XML databases.

If an individual goes through the differences between SQL and NoSQL then they will locate certain limitations of SQL database and those are as follows:

  • Users have to scale relational database on potent servers that are not at all cost effective and also tough to handle. In order to scale relational database it needs to be distributed on multiple servers. Now managing tables across servers is simply confusing.
  • Data needs to fit into the tables at any cost in SQL server and if it does not then one requires to redesign the database structure and that is a complicated procedure and not at all easy to handle.

The typical advantages of NoSQL that has been noticed are as follows:

  • NoSQL databases are much quicker as their data model is simpler.
  • Important NoSQL systems are flexible and aids developers to use applications in ways that fulfil their requirements.

SQL and NoSQL are extremely fruitful inventions and helps in keeping the process of data storage and recovery up-to-date and smooth. NoSQL is the buzz today but both technologies do their bit in the field of data storage depending on the requirements and situations. Since technological developments are a dynamic process something new and better may arrive in the future.

Author: Moutushi Ghosh Basu

Moutushi Ghosh Basu is a Sr. Project Manager at Sketch Web Solutions a mobile & web development company based in India. She is passionate about information technology and stays updated with the latest developments in this field. You can follow Moutushi on Facebook or LinkedIn.

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