{"id":55276,"date":"2018-02-12T11:00:20","date_gmt":"2018-02-12T09:00:20","guid":{"rendered":"http:\/\/examples.javacodegeeks.com\/?p=55276"},"modified":"2018-02-09T14:38:07","modified_gmt":"2018-02-09T12:38:07","slug":"mongodb-vs-mysql-example","status":"publish","type":"post","link":"https:\/\/examples.javacodegeeks.com\/software-development\/mongodb\/mongodb-vs-mysql-example\/","title":{"rendered":"MongoDB vs MySQL Example"},"content":{"rendered":"<h2>1. Introduction<\/h2>\n<p>These days, when it comes the time to select a database, one of the toughest decision for the developers is picking a relational or a non-relational database. While both are achievable alternatives, there are definite differences that developers must keep in mind when making a conclusion. In this tutorial, we will learn the important differences between the <em>MongoDB<\/em> and the <em>MySQL<\/em> databases.<\/p>\n<h3>1.1 What is MongoDB?<\/h3>\n<ul>\n<li>MongoDB is a high-performance <span style=\"text-decoration: underline\">NoSQL database<\/span> where each dB has collections which in turn has the key-value pairs, known as documents<\/li>\n<li>Each document has a different number of fields, size, and content. Each documentation in MongoDB is stored in a JSON-like format (i.e. Binary JSON (<a href=\"https:\/\/en.wikipedia.org\/wiki\/BSON\" target=\"_blank\" rel=\"noopener\">BSN<\/a>))<\/li>\n<li>The documents in MongoDB doesn\u2019t need to have a schema defined beforehand. Instead, the fields (i.e. <em>records<\/em>) can be created on the go<\/li>\n<li>Data model available within the MongoDB allows developers to represent hierarchical relationships, store arrays, and other more complex structures more easily<\/li>\n<li>This NoSQL solution often comes with embedding, auto-sharding, and onboard replication for better scalability and high availability<\/li>\n<\/ul>\n<p><figure id=\"attachment_55277\" aria-describedby=\"caption-attachment-55277\" style=\"width: 710px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/examples.javacodegeeks.com\/wp-content\/uploads\/2018\/02\/mongodb-data-representation.jpg\"><img decoding=\"async\" class=\"size-full wp-image-55277\" src=\"http:\/\/examples.javacodegeeks.com\/wp-content\/uploads\/2018\/02\/mongodb-data-representation.jpg\" alt=\"Fig. 1: Data representation in MongoDb\" width=\"710\" height=\"570\" srcset=\"https:\/\/examples.javacodegeeks.com\/wp-content\/uploads\/2018\/02\/mongodb-data-representation.jpg 710w, https:\/\/examples.javacodegeeks.com\/wp-content\/uploads\/2018\/02\/mongodb-data-representation-300x241.jpg 300w\" sizes=\"(max-width: 710px) 100vw, 710px\" \/><\/a><figcaption id=\"caption-attachment-55277\" class=\"wp-caption-text\">Fig. 1: Data representation in MongoDB<\/figcaption><\/figure><\/p>\n<h3>1.2 What is MySQL?<\/h3>\n<ul>\n<li>It is a <span style=\"text-decoration: underline\">Relational Database Management System<\/span> (RDBMS) that use the Structured Query Language (<code>SQL<\/code>),\n<ul>\n<li>To implement a database with columns, records, and indexes that provide the non-structured data<\/li>\n<li>Offers data integrity between the rows and the tables<\/li>\n<li>Support query caching, ACID transactions, and joins<\/li>\n<li>Provides data access to the users by using host and query languages<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><figure id=\"attachment_55278\" aria-describedby=\"caption-attachment-55278\" style=\"width: 505px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/examples.javacodegeeks.com\/wp-content\/uploads\/2018\/02\/mysql-data-representation.jpg\"><img decoding=\"async\" class=\"size-full wp-image-55278\" src=\"http:\/\/examples.javacodegeeks.com\/wp-content\/uploads\/2018\/02\/mysql-data-representation.jpg\" alt=\"Fig. 2: Data representation in MySQL\" width=\"505\" height=\"95\" srcset=\"https:\/\/examples.javacodegeeks.com\/wp-content\/uploads\/2018\/02\/mysql-data-representation.jpg 505w, https:\/\/examples.javacodegeeks.com\/wp-content\/uploads\/2018\/02\/mysql-data-representation-300x56.jpg 300w\" sizes=\"(max-width: 505px) 100vw, 505px\" \/><\/a><figcaption id=\"caption-attachment-55278\" class=\"wp-caption-text\">Fig. 2: Data representation in MySQL<\/figcaption><\/figure><div style=\"display:inline-block; margin: 15px 0;\"> <div id=\"adngin-JavaCodeGeeks_incontent_video-0\" style=\"display:inline-block;\"><\/div> <\/div><\/p>\n<p>The comparison between MongoDB and MySQL has been engaged for a while and it is important for developers to understand the differences between these two.<\/p>\n<h2>2. MongoDB vs. MySQL<\/h2>\n<p>Let\u2019s see the fundamental differences between the relational and the non-relational databases.<\/p>\n<ul>\n<li>The <em>primary<\/em> difference between these two databases is the <em>data representation<\/em>. In MongoDB, data is represented as a collection of JSON-like documents while in MySQL, the data is represented in tables, rows, and columns<\/li>\n<li>MySQL supports the &#8220;Structured Query Language&#8221; to query a string in the database system, while MongoDB supports the object-oriented querying. Thus MongoDB offers no <code>SQL<\/code> injection attacks or parsing<\/li>\n<li>One big picture difference is that; MySQL supports the JOIN operation to allow querying across multiple tables, while MongoDB provides multi-dimensional documents<\/li>\n<li>MySQL supports several operations within a single atomic transaction and offers the rollback facility, while in MongoDB there is no support for transactions<\/li>\n<li>One best thing about MongoDB is that developers are <strong>not<\/strong> responsible to define a schema beforehand and the records can be created on the fly. In MongoDB, any two collections need not have the same fields, while in MySQL all the rows in a table share the same columns<\/li>\n<li>MongoDB\u2019s performance is better than the relational databases as this NoSQL database dispense the JOIN operations and other things that can impact the performance<\/li>\n<li>One advantage of MongoDB over MySQL is that MongoDB provides the rapid development and agile sprints i.e. NoSQL data doesn\u2019t need to be prepped ahead of time<\/li>\n<li>RDBMS databases offer the <span style=\"text-decoration: underline\">Atomicity<\/span>, <span style=\"text-decoration: underline\">Consistency<\/span>, <span style=\"text-decoration: underline\">Isolation<\/span>, and <span style=\"text-decoration: underline\">Durability<\/span> and this is not present in the MongoDB database<\/li>\n<li>MongoDB allows for easier scalability through the Map Reduce feature. This means developers can get the complete functionality even if they are using the low-cost hardware<\/li>\n<li>Relational databases offer several reporting tools to authenticate the application\u2019s validity while there are no such reporting tools with the MongoDB<\/li>\n<li>MongoDB offers a non-relational database model as the DB architect can easily create a database without a pulverized DB model, thereby saving the development time and cost<\/li>\n<li>MySQL is an extremely established database offering huge community, extensive testing, and stability while MongoDB is still in development phase<\/li>\n<\/ul>\n<h3>2.1 How are their Queries different?<\/h3>\n<p>The following commands show how the queries are different in the relational and the non-relational databases.<\/p>\n<h4>2.1.1 Selecting records from the student table<\/h4>\n<p>The following code shows how this can be done in MongoDB and MySQL databases.<\/p>\n<p><span style=\"text-decoration: underline\"><em>MongoDB<\/em><\/span><\/p>\n<pre class=\"brush:java; wrap-lines:false;\">db.student.find().pretty();\r\n<\/pre>\n<p><span style=\"text-decoration: underline\"><em>MySQL<\/em><\/span><\/p>\n<pre class=\"brush:sql; wrap-lines:false;\">SELECT * from student;\r\n<\/pre>\n<h4>2.1.2 Inserting records into the student table<\/h4>\n<p>The following code shows how this can be done in MongoDB and MySQL databases.<\/p>\n<p><span style=\"text-decoration: underline\"><em>MongoDB<\/em><\/span><\/p>\n<pre class=\"brush:java; wrap-lines:false;\">db.student.insert({ stu_id: 'stu101', stu_branch: 'Science', stu_status: 'Active' });\r\n<\/pre>\n<p><span style=\"text-decoration: underline\"><em>MySQL<\/em><\/span><\/p>\n<pre class=\"brush:sql; wrap-lines:false;\">INSERT INTO student (stu_id, stu_branch, stu_status) VALUES ('stu101', 'Science', 'Active');\r\n<\/pre>\n<h4>2.1.3 Updating records in the student table<\/h4>\n<p>The following code shows how this can be done in MongoDB and MySQL databases.<\/p>\n<p><span style=\"text-decoration: underline\"><em>MongoDB<\/em><\/span><\/p>\n<pre class=\"brush:java; wrap-lines:false;\">db.student.update({ stu_age: { $gt: 15 } }, { $set: { stu_branch: 'Commerce' } }, { multi: true });\r\n<\/pre>\n<p><span style=\"text-decoration: underline\"><em>MySQL<\/em><\/span><\/p>\n<pre class=\"brush:sql; wrap-lines:false;\">UPDATE student SET stu_branch = 'Commerce' WHERE stu_age &gt; 15;\r\n<\/pre>\n<h3>2.2 So Which Database Is Right for Your Business?<\/h3>\n<p>Here\u2019s a quick cheat sheet to get you familiar with the MySQL and MongoDB features.<\/p>\n<table>\n<thead>\n<tr>\n<th>#<\/th>\n<th><strong>MySQL<\/strong><\/th>\n<th><strong>MongoDB<\/strong><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><em>Use Case<\/em><\/td>\n<td>MySQL is a recommended choice for any application that has a pre-defined structure and set schemas i.e. applications that need the multi-row transactions.<\/td>\n<td>MongoDB offers rapid growth or the databases with no clear schema definitions. Thus, it is a good choice for content-management, internet of things, mobile applications etc.<\/td>\n<\/tr>\n<tr>\n<td><em>Data Structure<\/em><\/td>\n<td>MySQL offers a clear and well-defined schema and supports the structured data.<\/td>\n<td>MongoDB doesn&#8217;t need to have a schema defined beforehand and thus the records can be created on the fly.<\/td>\n<\/tr>\n<tr>\n<td><em>Risk<\/em><\/td>\n<td>Risk of SQL injection attacks.<\/td>\n<td>Less risk of attack due to modular design.<\/td>\n<\/tr>\n<tr>\n<td><em>Analysis<\/em><\/td>\n<td>Great choice if the application has structured data and needs a traditional relational database.<\/td>\n<td>Great choice if the application has unstructured and\/or structured data with the potentially rapid growth.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>That\u2019s all for this post. Happy Learning!!<\/p>\n<h2>3. Conclusion<\/h2>\n<p>So, which is the better option? The answer lies in the type of data application have, but more and more people are going the NoSQL way. I hope this article served you whatever you were looking for.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>1. Introduction These days, when it comes the time to select a database, one of the toughest decision for the developers is picking a relational or a non-relational database. While both are achievable alternatives, there are definite differences that developers must keep in mind when making a conclusion. In this tutorial, we will learn the &hellip;<\/p>\n","protected":false},"author":119,"featured_media":36154,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1447],"tags":[1194],"class_list":["post-55276","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-mongodb","tag-mongodb"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>MongoDB vs MySQL Example - Java Code Geeks<\/title>\n<meta name=\"description\" content=\"In this tutorial, we will learn the important differences between the relational (MySQL) and the non-relational (MongoDB) databases.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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