MySQL vs MongoDB
When it comes to choosing a database, one of the biggest decisions is picking a relational (SQL) or non-relational (NoSQL) data structure. While both are viable options, there are certain key differences between the two that users must keep in mind when making a decision.
What is relational SQL database ?
SQL is a standard language for accessing and manipulating databases . SQL stands for Structured Query Language . SQL became a standard of the American National Standards Institute (ANSI) in 1986, and of the International Organization for Standardization (ISO) in 1987
SQL can do many operations
SQL can execute queries against a database
SQL can retrieve data from a database
SQL can insert records in a database
SQL can update records in a database
SQL can delete records from a database
SQL can create new databases
SQL can create new tables in a database
SQL can create stored procedures in a database
SQL can create views in a database
SQL can set permissions on tables, procedures, and view
Examples : Ms Access , SQL Server , MySQL
What is non-relational NoSQL database ?
NoSQL is an approach to database design that can accomodate a wide variety of data models, including key-value,document,columnar and graph formats.NoSQL, which stands fot "not only SQL"is an alternative to traditional relational databases in which data is palced in tables and data schema is carefully designed before the database is built. NoSQL databases are especially useful for working with large sets of distributed data
Examples : MongoDB ,RavenDB Cassandra
Which Database Fit Our Application ?
Each type of database has its own pros and cons so here's a list of the most important features in database management, and how each answer the problem
Queries : SQL supports a growing subset languages for queries, as well as a wide range of filters, sorting options, and projections and index queries. NoSQL does all this as well, but SQL can often go beyond it, allowing powerful aggregations of your data as well, beyond what NoSQL can do.
Transactions : Transactions are important because they ensure that you have atomically made changes to your database. Many NoSQL platforms don’t support transactions, so be aware of this feature when you’re figuring out which to use, and what your own needs are.
Consistency : MySQL platforms often use a single master to guarantee strong consistency in your database. These use synchronous replication to ensure you don’t lose important changes queued up to the master. NoSQL, by contrast, does replication of entity groups without a master, so that data is strong within an entity group, and is eventually updated across all groups. The better option depends on the constraints and needs of your database.
Scalability : For years, database administrators relied on scaling up, buying bigger servers as database load increased. However, as transaction rates and demands on the databases continue to expand immensely, emphasis is on scaling out instead. Scaling out is distributing databases across multiple hosts, and that’s something NoSQL does better than standard SQL. They’re designed for optimal use on scaled out databases.
Management : NoSQL databases are generally designed to require less management overall. Repairs are often automatic, and data distribution and simpler data models contribute to less administration required overall. However, you’ve also got less support when there’s a problem. SQL platforms often have vendors waiting to supply support to enterprises.
Schema : Regular SQL platforms often have strictly enforced rules for a schema change, to stave off user-created typos that can put faults in your query. NoSQL platforms will have their own mechanisms for combating this.
Now Compare The MySQL vs MongoDB
MySQL : The SQL Relational Database
Maturity: MySQL is an extremely established database, meaning that there’s a huge community, extensive testing and quite a bit of stability.
Compatibility: MySQL is available for all major platforms, including Linux, Windows, Mac, BSD and Solaris. It also has connectors to languages like Node.js, Ruby, C#, C++, Java, Perl, Python and PHP, meaning that it’s not limited to SQL query language.
Cost-effective: The database is open source and free.
Replicable: The MySQL database can be replicated across multiple nodes, meaning that the workload can be reduced and the scalability and availability of the application can be increased.
Sharding: While sharding cannot be done on most SQL databases, it can be done on MySQL servers. This is both cost-effective and good for business.
MongoDB : The NoSQL Non-Relational Database
Dynamic schema: As mentioned, this gives you flexibility to change your data schema without modifying any of your existing data.
Scalability: MongoDB is horizontally scalable, which helps reduce the workload and scale your business with ease.
Manageability: The database doesn’t require a database administrator. Since it is fairly user-friendly in this way, it can be used by both developers and administrators.
Speed: It’s high-performing for simple queries.
Flexibility: You can add new columns or fields on MongoDB without affecting existing rows or application performance.
What is relational SQL database ?
SQL is a standard language for accessing and manipulating databases . SQL stands for Structured Query Language . SQL became a standard of the American National Standards Institute (ANSI) in 1986, and of the International Organization for Standardization (ISO) in 1987
SQL can do many operations
SQL can execute queries against a database
SQL can retrieve data from a database
SQL can insert records in a database
SQL can update records in a database
SQL can delete records from a database
SQL can create new databases
SQL can create new tables in a database
SQL can create stored procedures in a database
SQL can create views in a database
SQL can set permissions on tables, procedures, and view
Examples : Ms Access , SQL Server , MySQL
What is non-relational NoSQL database ?
NoSQL is an approach to database design that can accomodate a wide variety of data models, including key-value,document,columnar and graph formats.NoSQL, which stands fot "not only SQL"is an alternative to traditional relational databases in which data is palced in tables and data schema is carefully designed before the database is built. NoSQL databases are especially useful for working with large sets of distributed data
Examples : MongoDB ,RavenDB Cassandra
Which Database Fit Our Application ?
Each type of database has its own pros and cons so here's a list of the most important features in database management, and how each answer the problem
Queries : SQL supports a growing subset languages for queries, as well as a wide range of filters, sorting options, and projections and index queries. NoSQL does all this as well, but SQL can often go beyond it, allowing powerful aggregations of your data as well, beyond what NoSQL can do.
Transactions : Transactions are important because they ensure that you have atomically made changes to your database. Many NoSQL platforms don’t support transactions, so be aware of this feature when you’re figuring out which to use, and what your own needs are.
Consistency : MySQL platforms often use a single master to guarantee strong consistency in your database. These use synchronous replication to ensure you don’t lose important changes queued up to the master. NoSQL, by contrast, does replication of entity groups without a master, so that data is strong within an entity group, and is eventually updated across all groups. The better option depends on the constraints and needs of your database.
Scalability : For years, database administrators relied on scaling up, buying bigger servers as database load increased. However, as transaction rates and demands on the databases continue to expand immensely, emphasis is on scaling out instead. Scaling out is distributing databases across multiple hosts, and that’s something NoSQL does better than standard SQL. They’re designed for optimal use on scaled out databases.
Management : NoSQL databases are generally designed to require less management overall. Repairs are often automatic, and data distribution and simpler data models contribute to less administration required overall. However, you’ve also got less support when there’s a problem. SQL platforms often have vendors waiting to supply support to enterprises.
Schema : Regular SQL platforms often have strictly enforced rules for a schema change, to stave off user-created typos that can put faults in your query. NoSQL platforms will have their own mechanisms for combating this.
Now Compare The MySQL vs MongoDB
MySQL : The SQL Relational Database
Maturity: MySQL is an extremely established database, meaning that there’s a huge community, extensive testing and quite a bit of stability.
Compatibility: MySQL is available for all major platforms, including Linux, Windows, Mac, BSD and Solaris. It also has connectors to languages like Node.js, Ruby, C#, C++, Java, Perl, Python and PHP, meaning that it’s not limited to SQL query language.
Cost-effective: The database is open source and free.
Replicable: The MySQL database can be replicated across multiple nodes, meaning that the workload can be reduced and the scalability and availability of the application can be increased.
Sharding: While sharding cannot be done on most SQL databases, it can be done on MySQL servers. This is both cost-effective and good for business.
MongoDB : The NoSQL Non-Relational Database
Dynamic schema: As mentioned, this gives you flexibility to change your data schema without modifying any of your existing data.
Scalability: MongoDB is horizontally scalable, which helps reduce the workload and scale your business with ease.
Manageability: The database doesn’t require a database administrator. Since it is fairly user-friendly in this way, it can be used by both developers and administrators.
Speed: It’s high-performing for simple queries.
Flexibility: You can add new columns or fields on MongoDB without affecting existing rows or application performance.
Conclusion : So Which Database is Right For Your Business ?
Overall, the best platform for you depends greatly on what you need from your database, and what kinds of queries you are demanding of your data. It also depends on what kind of database management plan you have in place, whether or not you’re seeking a renovation on its current state.
MySQL(Relational Database) is a strong choice for any business that will benefit from its pre-defined structure and set schemas. For example, applications that require multi-row transactions - like accounting systems or systems that monitor inventory - or that run on legacy systems will thrive with the MySQL structure.
MongoDB(Non-Relational Database), on the other hand, is a good choice for businesses that have rapid growth or databases with no clear schema definitions. More specifically, if you cannot define a schema for your database, if you find yourself denormalizing data schemas, or if your schema continues to change - as is often the case with mobile apps, real-time analytics, content management systems, etc.- MongoDB can be a strong choice for you.
Posted By : Tushar Verma
MySQL Official Link : https://www.mysql.com/
Documentation Link : https://docs.mongodb.com/
LinkedIn Profile : https://www.linkedin.com/in/tushar-verma-047329154/
MySQL Official Link : https://www.mysql.com/
Documentation Link : https://docs.mongodb.com/
LinkedIn Profile : https://www.linkedin.com/in/tushar-verma-047329154/
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