SQL vs NoSQL Which is Best for Big Data?

NoSQL systems are non-relational databases optimized for large-scale data storage. It emerges a need for flexibility, efficiency, and scale that can accommodate a wide variety of use cases, including real-time exploratory and imminent analytics. Join Big Data Training in Anna Nagar to enhance your skills.

SQL is known for the language of the Structured Server. It is essentially a real language which allows access and manipulation of data in a database. 


  • The key differentiators are that NoSQL supports standard orientation databases in which RDBMS is a row-oriented database.
  • On both non-structured and unrelated information, NoSQL seems to function better. Crossover applications with both NoSQL and SQL elements are the best solutions.
  • RDBMSs using SQL are schema-oriented which ensures it should be established that the data structure is consistent with the schema. For example, schema-based applications using SQL include Payroll Management System, order fulfillment, and travel reservations.
  • Database systems are dynamically scalable, it can only be scaled by updating the implementation hardware, making it a costly deal for storing massive data sets. Join Big Data Training In T Nagar to get placed in top MNC companies.
  • NoSQL databases have certain features for speed and horizontal scalability of the traditional databases and NoSQL databases are considered to be cheaper, easier for expanding a pre-established system to do a new job than for creating it from scratch.
  • Data Integrity is an essential feature of the SQL databases. It ensures that data must be checked in all tables and no redundant, incompatible, or unauthorized data will be incorporated into the system.
  • SQL databases are more effective when performing more complicated queries. Citing the hierarchical nature of SQL interfaces, users support the well-structured database

NoSQL is Best

Unless the data fits into a spreadsheet, then SQL-type servers such as Postgres, BigQuery as database systems are best suited for data analysis in quadrants. 

CouchDB works well for semi-structured data, for example, social media, requires a significant amount of text mining, for that NoSQL style database is used. To run semi-structured data it requires a strong code which is NoSQL.  Join Big Data Training In Porur to have a good career growth.

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