{"id":13549,"date":"2018-04-16T09:43:12","date_gmt":"2018-04-16T09:43:12","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=13549"},"modified":"2021-05-09T13:07:41","modified_gmt":"2021-05-09T07:37:41","slug":"mongodb-features","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/mongodb-features\/","title":{"rendered":"9 New MongoDB Features &#8211; Must Learn to Master in MongoDB"},"content":{"rendered":"<p>In this MongoDB Tutorial, we are going to explore the unique features of MongoDB. We have studied a basic understanding of <strong>what is MongoDB<\/strong>. Our objective in this article is to learn MongoDB Features to master in it.<\/p>\n<p>So, let&#8217;s discuss MongoDB Features in detail.<\/p>\n<div id=\"attachment_13562\" style=\"width: 1210px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/MongoDB-Features-01.jpg\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-13562\" class=\"wp-image-13562 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/MongoDB-Features-01.jpg\" alt=\"MongoDB Features\" width=\"1200\" height=\"628\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/MongoDB-Features-01.jpg 1200w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/MongoDB-Features-01-150x79.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/MongoDB-Features-01-300x157.jpg 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/MongoDB-Features-01-768x402.jpg 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/MongoDB-Features-01-1024x536.jpg 1024w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/><\/a><p id=\"caption-attachment-13562\" class=\"wp-caption-text\">Learn MongoDB Features | MongoDB Tutorial for Beginners<\/p><\/div>\n<h2>MongoDB Features<\/h2>\n<p>Being a NoSQL database, MongoDB has so many great features. These amazing features make this technology very unique and attractive. Also, these features are making MongoDB widely usable and popular.<\/p>\n<p>Let\u2019s discuss some MongoDB features, which will help us to work with it.<\/p>\n<ul>\n<li>Ad-hoc Queries<\/li>\n<li>Schema-Less Database<\/li>\n<li>Document-Oriented<\/li>\n<li>Indexing<\/li>\n<li>Replication<\/li>\n<li>Aggregation<\/li>\n<li>GridFS<\/li>\n<li>Sharding<\/li>\n<li>High Performance<\/li>\n<\/ul>\n<h3>i. Ad-hoc Queries<\/h3>\n<p>Generally, when we design a schema of a database, we don\u2019t know in advance about the queries we will perform. Ad-hoc queries are the queries not known while structuring the database.<\/p>\n<p>So, MongoDB provides ad-hoc query support which makes it so special in this case. Ad-hoc queries are updated in real time, leading to an improvement in performance.<\/p>\n<h3>ii. Schema-Less Database<\/h3>\n<p>In MongoDB, one collection holds different documents. It has no schema so can have many fields, content, and size different than another document in the same collection. This is why MongoDB shows flexibility in dealing with the databases.<\/p>\n<h3>iii. Document-Oriented<\/h3>\n<p>MongoDB is a document-oriented database, which is a great feature\u00a0itself. In the relational databases, there are tables and rows for arrangements of the data. Every row has specific no. of columns &amp; those can store a specific type of data.<\/p>\n<p>Here comes the flexibility of NoSQL where there are fields instead of tables and rows. There are different documents which can store different types of data. There are collections of similar documents. Each document has a unique key id or object id which can both be user or system defined.<\/p>\n<div id=\"attachment_13552\" style=\"width: 313px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/images.jpg\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-13552\" class=\"wp-image-13552 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/images.jpg\" alt=\"MongoDB Features - Document Oriented\" width=\"303\" height=\"138\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/images.jpg 303w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/images-150x68.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/images-300x137.jpg 300w\" sizes=\"auto, (max-width: 303px) 100vw, 303px\" \/><\/a><p id=\"caption-attachment-13552\" class=\"wp-caption-text\">MongoDB Features &#8211; Document Oriented<\/p><\/div>\n<h3>iv. Indexing<\/h3>\n<p>Indexing is very important for improving the performances of search queries. When we continuously perform searches in a document, we should index those fields that match our search criteria.<\/p>\n<p>In MongoDB, we can index any field indexed with primary and secondary indices. Making query searches faster, MongoDB indexing enhances the performance.<\/p>\n<div id=\"attachment_13556\" style=\"width: 660px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/btree-index1.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-13556\" class=\"wp-image-13556 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/btree-index1.png\" alt=\"MongoDB Features\" width=\"650\" height=\"358\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/btree-index1.png 650w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/btree-index1-150x83.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/btree-index1-300x165.png 300w\" sizes=\"auto, (max-width: 650px) 100vw, 650px\" \/><\/a><p id=\"caption-attachment-13556\" class=\"wp-caption-text\">MongoDB Features &#8211;\u00a0Indexing<\/p><\/div>\n<h3>v. Replication<\/h3>\n<p>When it comes to redundancy, replication is the tool that MongoDB uses. This feature distributes data to multiple machines. It can have primary nodes and their one or more replica sets. Basically, replication makes ready for contingencies.<\/p>\n<p>When the primary node is down for some reasons, the secondary node becomes primary for the instance. This saves our time for maintenance and makes operations smooth.<\/p>\n<div id=\"attachment_13558\" style=\"width: 512px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/6729OS_4_01.jpg\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-13558\" class=\"wp-image-13558 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/6729OS_4_01.jpg\" alt=\"MongoDB Features\" width=\"502\" height=\"471\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/6729OS_4_01.jpg 502w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/6729OS_4_01-150x141.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/6729OS_4_01-300x281.jpg 300w\" sizes=\"auto, (max-width: 502px) 100vw, 502px\" \/><\/a><p id=\"caption-attachment-13558\" class=\"wp-caption-text\">MongoDB Features &#8211; Replication<\/p><\/div>\n<h3>vi. Aggregation<\/h3>\n<p>MongoDB has an aggregation framework for efficient usability. We can batch process data and get a single result even after performing different operations on the group data.<\/p>\n<p>The aggregation pipeline, map-reduce function, and single purpose aggregation methods are the three ways to provide an aggregation framework. We will see them in detail in further articles.<\/p>\n<div id=\"attachment_13559\" style=\"width: 337px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/index.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-13559\" class=\"wp-image-13559 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/index.png\" alt=\"MongoDB Features\" width=\"327\" height=\"154\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/index.png 327w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/index-150x71.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/index-300x141.png 300w\" sizes=\"auto, (max-width: 327px) 100vw, 327px\" \/><\/a><p id=\"caption-attachment-13559\" class=\"wp-caption-text\">MongoDB Features &#8211;\u00a0Aggregation<\/p><\/div>\n<h3>vii. GridFS<\/h3>\n<p>GridFS is a feature of storing and retrieving files. For files larger than 16 MB this feature is very useful. GridFS divides a document in parts called chunks and stores them in a separate document. These chunks have a default size of 255kB except the last chunk.<\/p>\n<p>When we query GridFS for a file, it assembles all the chunks as needed.<\/p>\n<div id=\"attachment_13560\" style=\"width: 738px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/mongodb-gridfs-database-file-storage-4-728.jpg\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-13560\" class=\"wp-image-13560 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/mongodb-gridfs-database-file-storage-4-728.jpg\" alt=\"MongoDB Features\" width=\"728\" height=\"546\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/mongodb-gridfs-database-file-storage-4-728.jpg 728w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/mongodb-gridfs-database-file-storage-4-728-150x113.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/mongodb-gridfs-database-file-storage-4-728-300x225.jpg 300w\" sizes=\"auto, (max-width: 728px) 100vw, 728px\" \/><\/a><p id=\"caption-attachment-13560\" class=\"wp-caption-text\">MongoDB Features &#8211; GridFS<\/p><\/div>\n<p>&nbsp;<\/p>\n<h3>viii. Sharding<\/h3>\n<p>Basically, the concept of sharding comes when we need to deal with larger datasets. This huge data can cause some problems when a query comes for them. This feature helps to distribute this problematic data to multiple MongoDB instances.<\/p>\n<p>The collections in the MongoDB which has a larger size are distributed in multiple collections. These collections are called \u201cshards\u201d. Shards are implemented by clusters.<\/p>\n<div id=\"attachment_13561\" style=\"width: 2252px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/MongoDB-Architecture.jpg\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-13561\" class=\"wp-image-13561 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/MongoDB-Architecture.jpg\" alt=\"MongoDB Features\" width=\"2242\" height=\"1558\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/MongoDB-Architecture.jpg 2242w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/MongoDB-Architecture-150x104.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/MongoDB-Architecture-300x208.jpg 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/MongoDB-Architecture-768x534.jpg 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/MongoDB-Architecture-1024x712.jpg 1024w\" sizes=\"auto, (max-width: 2242px) 100vw, 2242px\" \/><\/a><p id=\"caption-attachment-13561\" class=\"wp-caption-text\">MongoDB Features &#8211;\u00a0Sharding<\/p><\/div>\n<h3>ix. High Performance<\/h3>\n<p>MongoDB is an open source database with high performance. This shows high availability and scalability. It has faster query response because of indexing and replication. This makes it a better choice for big data and real-time applications.<\/p>\n<p>So, this was all\u00a0about MongoDB Features Tutorial. Hope you like our explanation.<\/p>\n<h2>Conclusion<\/h2>\n<p>Hence, We have discussed all the important <strong>MongoDB<\/strong> features High performance, Sharding, GridFS, Aggregation, Replication, Indexing, Document-Oriented, Schema-Less Database, and Ad-hoc Queries.<\/p>\n<p>Also, how they are used in today\u2019s world. We will see the<strong> advantages and limitations of MongoDB<\/strong> in further MongoDB Tutorial.<\/p>\n<p>Furthermore, if you have any query, feel free to ask in a comment section.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this MongoDB Tutorial, we are going to explore the unique features of MongoDB. We have studied a basic understanding of what is MongoDB. Our objective in this article is to learn MongoDB Features&#46;&#46;&#46;<\/p>\n","protected":false},"author":6,"featured_media":13562,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[38],"tags":[358,392,4025,4612,4613,8825,8858,11542,12631,15148],"class_list":["post-13549","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-mongodb","tag-advantages-of-mongodb","tag-aggregation","tag-document-oriented","tag-features-of-mongodb","tag-features-of-mongodb-in-detail","tag-mongodb-features-ppt","tag-mongodb-wiki","tag-replication","tag-schema-less-database","tag-unique-features-of-mongodb"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>9 New MongoDB Features - Must Learn to Master in MongoDB - DataFlair<\/title>\n<meta name=\"description\" content=\"Top MongoDB Features will help you to master in MongoDB, this features shows a reasons to learn MongoDb and Why MongoDB is popular in the IT Industry\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/mongodb-features\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"9 New MongoDB Features - Must Learn to Master in MongoDB - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Top MongoDB Features will help you to master in MongoDB, this features shows a reasons to learn MongoDb and Why MongoDB is popular in the IT Industry\" \/>\n<meta property=\"og:url\" content=\"https:\/\/data-flair.training\/blogs\/mongodb-features\/\" \/>\n<meta property=\"og:site_name\" content=\"DataFlair\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/DataFlairWS\/\" \/>\n<meta property=\"article:published_time\" content=\"2018-04-16T09:43:12+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2021-05-09T07:37:41+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/MongoDB-Features-01.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"628\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"DataFlair Team\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DataFlairWS\" \/>\n<meta name=\"twitter:site\" content=\"@DataFlairWS\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"DataFlair Team\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"9 New MongoDB Features - Must Learn to Master in MongoDB - DataFlair","description":"Top MongoDB Features will help you to master in MongoDB, this features shows a reasons to learn MongoDb and Why MongoDB is popular in the IT Industry","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/data-flair.training\/blogs\/mongodb-features\/","og_locale":"en_US","og_type":"article","og_title":"9 New MongoDB Features - Must Learn to Master in MongoDB - DataFlair","og_description":"Top MongoDB Features will help you to master in MongoDB, this features shows a reasons to learn MongoDb and Why MongoDB is popular in the IT Industry","og_url":"https:\/\/data-flair.training\/blogs\/mongodb-features\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2018-04-16T09:43:12+00:00","article_modified_time":"2021-05-09T07:37:41+00:00","og_image":[{"width":1200,"height":628,"url":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/MongoDB-Features-01.jpg","type":"image\/jpeg"}],"author":"DataFlair Team","twitter_card":"summary_large_image","twitter_creator":"@DataFlairWS","twitter_site":"@DataFlairWS","twitter_misc":{"Written by":"DataFlair Team","Est. reading time":"5 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/data-flair.training\/blogs\/mongodb-features\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/mongodb-features\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/2c58ecb4f73a39f0ef993f1ddfcd7b89"},"headline":"9 New MongoDB Features &#8211; 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