Database are needed to store your data. On daily basis huge dark is created every minute, every hour and every day. For accessing this kind of data, storage is relevant. We are having different databases. In this tutorial, we will discuss what is the difference between SQL and NoSQL.

Read the full article to know the SQL vs NoSQL

What is SQL?

(SQL) Structured Query language defines as an “S-Q-L” & also as “See-Quel” is the usual language for dealing with the Relational Databases Management System. A relational database Management System defines relationships in the shape of tables.

SQL programming can be efficiently used to insert, update, search, delete database records.

It can also do many more things including above, but not limited to, maintenance and optimizing of databases.

Relational databases Management System like MySQL Database, Ms. SQL Server, Oracle, Sybase, etc. uses SQL.

What is NoSQL?

NoSQL is a non-relational DBMS, that does not need a fixed schema. It avoids joins and is easy to scale. NoSQL database is also used for distributed data stores with human data storage needs. Moreover, It is used for real-time web apps and Big data. For example companies like Facebook, Twitter, Google which collects terabytes of user data, every single day.

NoSQL database is known as  “Not Only SQL” or “Not SQL.” In 1998, Carl Strozz introduced the NoSQL concept. Traditional RDBMS uses SQL syntax to store and retrieve data for additional insights. Instead, a NoSQL database system encompasses a broad range of database technologies. It can store structured, unstructured, semi-structured, and polymorphic data.

Difference between SQL and NoSQL

Features

SQL

NoSQL

1.DefinitionSQL databases are known as RDBMS or Relational Databases Management SystemNoSQL databases are known as Non-relational or distributed database Management System
2. Kind of Query LanguageIt is a structured query language (SQL)It is no declarative query language
3. Kind of SchemaIt has a predefined schemaIt uses a dynamic schema for unstructured data.
4. ExamplesMS-SQL, Oracle, and Postgres.Neo4j, Cassandra, Hbase, Redis, MongoDB.
5. Hierarchical data storageSQL databases are not fit for hierarchical data storage.it supports the key-value pair method. So it is more fit for the hierarchical data store.
6. Development YearFor dealing with issues of flat-file storage, SQL was developed in the 1970sTo overcome issues and limitations of SQL databases, NoSQL was Developed in the late 2000s
7. StabilityIt should be configured for strong stability.It depends on DBMS as some offer strong stability like MongoDB, while others only offer eventual stability, like Cassandra.
8. SignificanceIt should be used when data validity is super significantUse when it is additionally significant to have rapid data than correct data
9. HardwareSpecialized Database hardware (Oracle Exadata, etc.)Commodity hardware
10. Storage Typeextremely Available Storage (SAN, RAID, etc.)Commodity drives storage (standard HDDs, JBOD)
11. Top Companies UsingGauges, Hootsuite, CircleCIKickstarter, Airbnb, Uber
12. ACID Model & BASE Model( Atomicity, Consistency, Isolation, and Durability) ACID is a standard for RDBMS( Basically Available, Soft state, Eventually Consistent) The BASE is a model of many NoSQL systems
13. Considered forTraditional RDBMS uses SQL syntax and queries to evaluate and get the data for further insights. it is also used for OLAP systems.NoSQL database system consists of different kinds of database technologies. These databases were developed for the development of the modern application.
14. KindThe SQL databases are table based databasesThe NoSQL databases can be document based, graph databases, key-value pairs
15. Ability to scaleSQL databases are vertically scalableNoSQL databases are horizontally scalable
16. SuitabilityAn ultimate choice for the complex query intensive environment.It is not good for complex queries.
17. VariationsOne kind with minor variations.Many different kinds which include document databases, key-value stores, and graph databases.
18. Open-sourceA merge of open-source like MySQL, Postgres & commercial-like Oracle Database.Open-source
19. Top Used forRDBMS database is the right option for solving ACID problems.NoSQL is mostly used for solving data availability problems
20. RequirementWhen you require to support dynamic queriesUse when you require to scale based on changing requirements
21. NetworkHighly available network (Fabric Path, Infiniband, etc.)Commodity network (Ethernet, etc.)
22. Best featuresCross-platform support, free and secure.High performance, Easy to use, and Flexible tool.
23. Average salaryThe salary of any professional “SQL Developer” is higher than a “NoSQL developer”The salary of “NoSQL developer” is less than a professional “SQL Developer”.

 

Conclusion

SQL and NoSQL databases deploy for the same purpose i.e. storing data. But are wide differences between the SQL and NoSQL databases. It is vital to know them to make a knowledgeable excellent about the kind of database essential. In this tutorial, we have discussed the differences between SQL and NoSQL. If you are having any doubt, feel free to ask me in the comment box.

 

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