Sql Vs NoSql-Difference between Sql and NoSql

SQL vs NoSQL: In the world of database technology, we have two types of database: SQL and NoSQL. Now before moving further for the difference between NoSQL and SQL, let’s understand about them separately first. This will help you to understand better about the differences of the two database languages as both of the languages have their own importance.

Database SQL : SQL stands for Structured Query Language. In simple term, this is a language to which is used to communicate with the database is a standard programming and interactive language helps to get information from the database and update it. SQL database provides predictable performance, data protection, scalability with zero downtime and all this with almost near zero administration. SQL Database supports SQL server tool, APIs, and libraries which make it helpful and easier for you to just move and extend to the cloud. So this is a brief of SQL database.

No SQL Database: It is referred as non-SQL or we can also say as a non-relational database. A non-SQL database provides a mechanism for data storage and retrieval which is being modelled by means other than tabular relations that are used in relational database or SQL. NoSQL encompasses a wide range of architecture and technologies that help to solve big data as well scalability performance issues that are not in relational databases.

NoSQL is very useful when an enterprise has to access and analyze a huge amount of unstructured data that is remotely stored on various virtual servers in the cloud. Also, there is a myth that NoSQL prohibits SQL which is not true. While it can be said that some of the NoSQL systems are fully non-relational database systems. So as now you all are aware of both the terms so let’s now have a look at what are the main difference between SQL and NoSQL. Also these points will help you to understand the concepts of Nosql and SQL.

SQL vs NoSQL Database: The differences 

So now all of you will be aware about, what is NoSQL and SQL database. Now below  are the points which shows the difference between SQL vs NoSQL.

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  • Which to use SQL or NoSQL: Both SQL and NoSQL are not in direct competition or what we can say as opposition. As many companies use both the technologies simultaneously, one system cannot be fit in all approach. Like if your data needs changes rapidly then you need a high throughput which can handle the viral growth or if your data is growing very fast and you need to scale out efficiently and quickly, then-No SQL can help you out. Whereas if the data you are having is not changing and there is moderate and manageable growth then SQL technology matches best for you. So you can say that SQL is not out of the race, it only depends on upon the data that is to be handled. So this is the first point of NoSQL vs SQL

 

  • Relational Database vs NoSQL Data Integrity: Most of the SQL databases allow enforcing the data integrity rules by using the foreign key constraints, while the same data integrity enforcement option is not available with NoSQL database.

 

  • NoSQL vs Relational Scaling: As the data in any enterprise grows rapidly, so as the data grows you think of to distribute the load among the multiple servers. But with SQL this can be tricky. And NoSQL’s simple data models can make this process much easier and many are built with the scaling function from the very start.

 

  • Relational vs NoSQL Performances: Performance wise NoSQL is every time is being quoted as  faster than the SQL. This is not surprising as NoSQL’s simple and denormalised store allows a user to retrieve all the information in a single request. There is no need for complex SQL queries.

 

  • Data Storage: In SQL data is being stored in a relational model with rows and columns in it. Rows basically contain all the information of one specific entity while columns are all separate data points. In NoSQL, it encompasses a host of various databases each with the different data storage model. Some main are  graph, columnar, document and key-value. This is also one of the major difference of SQL vs NoSQL.

 

  • Schemas and the Flexibility: Here in SQL each record confirms to a fixed schema, which means that each column must be decided and should be locked before the data entry and each of the rows must have data for each column. This can also be amended, but it requires alerting the full database and going to offline. Here in NoSQL schemas are the dynamic part, data can be easily added and there is no need that each row must contain data of each column. Here in SQL, each record confirms to a fixed schema, which means that each column must be decided and should be locked before the data entry and each of the rows must have data for each column. This can also be amended, but it requires alerting the full database and going to offline. Here in NoSQL schemas are the dynamic part, data can be easily added and there is no need that each row must contain data of each column.

 

  •  Atomicity, Consistency, Isolation, Durability (ACID) Compliancy: Most of the relational databases or SQL re ACID compliant. NoSQL ACID compliancy varies between the technologies, but many NoSQL has performance and scalability than ACID compliancy.

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Differences between NoSQL vs Relational Database

TYPES PERFORMANCE SCALABILITY FLEXIBILITY COMPLEXITY
Key Value Store High High High None
Column Store High High Moderate Low
Document High Variable High Low
Graph Database variable Variable High high
  • Key Value Model: This is the least complex model NoSQL option that stores data in a schema. Example- Azure, Riak.

 

  • Column Store: It can also be said as wide Column store. It stores data tables as columns than rows. It’s not only an inverted table, it’s more than that. As sectioning of the columns allows maximum scalability and high performance.

 

  • Document Database: It takes the key value concept and adds, even more, complexity. Each document in it has its own data and unique key which is then used to retrieve the data. It is one of the best options for retrieving, managing and storing data that is document oriented.

 

  • Graph Database: It includes the data that is interconnected and is best represented as a graph.

SQL Database

  • MySQL- This database is best for the CMS sites and blogs, and is the most popular open source databases.
  • IMB DB2- It is the family of the database server products from the well renowned IBM that is basically built to handle the advanced Big Data analytics.
  • MariaDB- It is an enhanced and drop in a version of the MySQL.
  • Microsoft Azure- It is a cloud computation platform which supports any of the operating systems, and allows you to store, compute and scale data. It was put ahead of the Amazon Web Services and Google Cloud Storage in a recent survey for corporate data storages.
  • Sybase-It is relational database server for the businesses used on UNIX, OS.

 

 NoSQL Databases Examples

  • Riak- Riak is an open source key-value database that is written in Erlang. It has the fault tolerance replication and also the automatic data distribution providing excellent performance.
  • MongoDB- This is the most popular non-relational database system, mostly among the start-ups. It is an open source so that’s why it is free with the good customer service.
  • Apache’s CouchDB- This is the true DB for the web. It basically uses the JSON data exchange format to store its documents. JavaScript for indexing, combining and transforming the documents.
  • Oracle NoSQL- Oracle’s entry into NoSQL category.

 

Now you have perfectly understood all the difference between SQL and NoSQL. So now you can easily manage your database system with the help of this. The idea that SQL and NoSQL are in opposition and competition with each other is a flawed one”. One can have SQL and noSQL based systems coexisting in the same framework and each solution respectively doing what it does best. As relational and nonrelational database management may also get complicated and requires upkeep mainly when moving into the cloud. Also next time when you go through something like this that “ SQL is now outdated”, RDBMS now can no longer meet data management needs and NoSQL is the only key to all these problems”, then you must recall all of the above points of NoSQL vs SQL and then you will be able to understand the facts more effectively.

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