{"id":4796,"date":"2019-05-06T02:04:32","date_gmt":"2019-05-06T06:04:32","guid":{"rendered":"https:\/\/www.freelancinggig.com\/blog\/?p=4796"},"modified":"2019-05-06T02:04:35","modified_gmt":"2019-05-06T06:04:35","slug":"elasticsearch-vs-mongodb","status":"publish","type":"post","link":"https:\/\/www.freelancinggig.com\/blog\/2019\/05\/06\/elasticsearch-vs-mongodb\/","title":{"rendered":"Elasticsearch vs MongoDB"},"content":{"rendered":"<p class=\"wp-block-paragraph\">The database is one of the most important parts of any\nsystem, and in the long run, as the business grows, the importance of the\ndatabase increases significantly. Not just for storing huge data every day, the\nanalytics that can be generated from these data can give a business an edge\nover the competitors. In fact, there is a whole industry available for\nanalytics and its analysis for informed business decisions. It is difficult to\nchange the database system once you start with one. Therefore, you should start\nwith the best one from the very again. In today&#x2019;s scenario, MongoDB and\nElasticsearch are the most popular. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">MongoDB is already quite popular, and a lot of popular\ncompanies are using it and endorsing it. On the other hand, Elasticsearch is an\nemerging player in the database. MongoDB is extremely user-friendly, and all\nthe different background applications of a database can be performed in simple\nsteps. Elasticsearch is not just a database but a search engine. But it is\nversatile and has a document store database model just like MongoDB. Before you\ncan choose any of them, you need to know the main differences between these two\ndatabase choices. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Differences Between MongoDB and Elasticsearch &#x2013;<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">There are more similarities than differences between MongoDB\nand Elasticsearch. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Programming Language Support &#x2013; <\/strong>MongoDB is more popular because it has support for more languages starting from C, C++, C#, Perl, PHP, MatLab to Ruby Scala, Python, Go, Java, JavaScript. Therefore, all the popular languages are supported, and therefore, the reach of the database has increased rapidly. On the other hand, Elasticsearch supports only Java, JavaScript, Perl, PHP, Python, Ruby and most importantly .Net. DotNet is not yet supported by MongoDB.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>3rd Party Support &#x2013;<\/strong> Even though MongoDB and Elasticsearch started almost together, MongoDB due to its simplicity has grown by leaps and bounds. That is why there are so many different 3rd party supports available. Dremio and Elastic Cloud are the two 3rd party service support that Elasticsearch has. <strong><a href=\"https:\/\/www.dremio.com\/\">Dremio<\/a><\/strong> analyzes the data with BI and SQL tools. It is going to speed by query running multiple times. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">On the other hand, Studio 3T, DBHawk, ScaleGrid, CData, Dremio, Knowi are just some of the names that have support for MongoDB. CData connect NoSql with Big Data, ScaleGrid is for backing up MongoDB as well as monitor operations and deploying and scaling things up. DBHawk is one of the reasons for the popularity of MongoDB as it presents a web-based GUI. Studio 3T is the most commonly used IDE with MongoDB. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Applications &#x2013; <\/strong>Elasticsearch is more easily scalable with MongoDB. It is completely open source, and it is a search cum analytics engine. The data storing, search and analyze are easy and quick. It stays as an underlying technology especially when your searching is going to be complex. The main edges it has over its competitor are open-source, real-time index, easy search and analysis option, faster scalability, and distributed system. The typical applications are searching, logging, security, metrics, and analytics. Among the key customers, NASA, Cisco, Goldman Sachs, Microsoft, Wikipedia are a few that must be mentioned. It has a partnership with Fortune 500 companies, and it has over 250 million downloads. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">On the other hand, MongoDB is what you can call the\nnext-generation database. From startups to the largest companies, MongoDB has\nbecome a leader. It follows document data model as well as distributed system\ndesign and along with MongoDB Atlas and MongoDB Stitch makes it extremely\npowerful. It is designed for modern applications, and it supports serverless\nplatform. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">MongoDB has strong consistency, better query language, and\nfaster developmental support than NoSQL which is its biggest competitor. It is\nhighly flexible and scalable. In fact, it is best for the Internet of Things,\nMobile applications, real-time analytics, and much more. The key customers are\nAdobe, CERN, Bosch, SAP, HSBC, eBay, Verizon and much more. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">People are looking for alternative solutions to MySQL as\nthere are certain constraints associated with them. Both these databases are\noffering good solutions to the problems, and that is why there is a large scale\nmigration to these especially MongoDB. Due to the user-friendly design, MongoDB\nis fast becoming a favorite among developers and all those developers who want\nmore than just a database, ElasticSearch is the better option. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>The database is one of the most important parts of any system, and in the long run, as the business grows, the importance of the &#x2026;<\/p>\n","protected":false},"author":3,"featured_media":4797,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[149],"tags":[1304,1536,428],"class_list":["post-4796","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-startup-resources","tag-elasticsearch","tag-elasticsearch-vs-mongodb","tag-mongodb"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Elasticsearch vs MongoDB - Developers, Designers &amp; Freelancers - FreelancingGig<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.freelancinggig.com\/blog\/2019\/05\/06\/elasticsearch-vs-mongodb\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Elasticsearch vs MongoDB - Developers, Designers &amp; 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