{"id":4973,"date":"2021-04-21T16:40:27","date_gmt":"2021-04-21T21:40:27","guid":{"rendered":"https:\/\/micronics.mx\/?p=4973"},"modified":"2021-04-21T16:40:27","modified_gmt":"2021-04-21T21:40:27","slug":"bases-de-datos-relacionales-y-orientadas-a-documentos-cual-debo-usar","status":"publish","type":"post","link":"https:\/\/micronics.mx\/en\/relational-and-document-oriented-databases-which-should-i-use\/","title":{"rendered":"Relational and document-oriented databases, which one should I use?"},"content":{"rendered":"<h2><b>Relational and document-oriented databases, which one should I use?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The<a href=\"https:\/\/micronics.mx\/en\/excel-vba\/\"> databases<\/a> are behind virtually any app or website. They allow you to save information and consult it when necessary to eventually show it to the user. In this way, the information is always kept dynamic. On the other hand, there are several types of relational and document-oriented databases, here we will analyze their characteristics.\u00a0<\/span><\/p>\n<p><em><span style=\"font-weight: 400;\">Note: to reduce redundancy in the article, the term &quot;database&quot; is interchangeable with that of &quot;database management system (DBMS)&quot;.<\/span><\/em><\/p>\n<p><span style=\"font-weight: 400;\">The &quot;traditional&quot; way of storing is by using <a href=\"https:\/\/www.oracle.com\/mx\/database\/\">Oracle<\/a>, <a href=\"https:\/\/www.mysql.com\/\">MySQL<\/a> or<a href=\"https:\/\/www.microsoft.com\/es-mx\/sql-server\/sql-server-downloads\"> SQL Server<\/a>, since they offer great speed, security and integrity of the information, implementing the relational model. They are proven and efficient technologies, but the time may come when this is not enough to offer an agile service.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">When the number of users and information begins to grow, the speed with which the data is consulted and modified suffers. Therefore, it is likely that some other way to store them is needed, so that our application is always fast.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Document-oriented databases are part of the so-called non-relational databases (NoSQL). Unlike relational databases, its main focus is the denormalization of the data to maintain high speed, as well as being very flexible with the structure of each of its elements.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It is important to compare the advantages and disadvantages of these technologies, to determine if we need either or both to maintain optimal system performance.<\/span><\/p>\n<p><b>Comparative<\/b><\/p>\n<p><b>Relational databases<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Its main focus is to keep the information complete and consistent at all times, having several ways to validate that there are no errors.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Examples: Oracle, MySQL, MS SQL Server, PostgreSQL, SQLite.<\/span><\/p>\n<p><b>Advantage<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Information integrity<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">High level of configuration through database management systems<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The necessary information can be efficiently consulted<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Less data redundancy, which reduces the storage required by databases<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Existing for more than 40 years, easily getting quality support and documentation.<\/span><\/li>\n<\/ul>\n<p><b>Disadvantages<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Modifying the database structure is time consuming<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">More planning is required to adjust them to business needs<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">As the information is normalized, doing the joins reduces the speed of the queries.<\/span><\/li>\n<\/ul>\n<p><b>Document-oriented databases<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Its main focus is the rapid consultation of information, in addition to being flexible and allowing faster systems development.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Examples: Azure Cosmos DB, ArangoDB, BaseX, Clusterpoint, CouchDB, DocumentDB, IBM Domino, MarkLogic, MongoDB, Firestore.<\/span><\/p>\n<p><b>Advantage<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Greater speed when consulting information<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Its structure is not fixed, so it is easy to modify. Documents may vary from each other<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Quickly adapts to the needs of the company and market<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Useful for handling huge amounts of information (Big Data)<\/span><\/li>\n<\/ul>\n<p><b>Disadvantages<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Because your approach is denormalization, there is data redundancy<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">By not using joins, any similar operation has to be performed by the client<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data consistency is lower<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">It is a relatively recent technology, so there is less support and documentation<\/span><\/li>\n<\/ul>\n<p><b>conclusion<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Both have advantages and disadvantages that can be mitigated using different optimization strategies, but this in turn is time consuming and requires advanced knowledge. Due to this, it is important to know how to decide which of these technologies is preferable for our project (or if both can be implemented). Therefore:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Use a SQL database in case:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data consistency is paramount for the project<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The structure of the information does not change much over time<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Quick and efficient support is needed in case of errors<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">Use a NoSQL database in case:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The information structure is constantly changing<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Rapid development is required, without the need for a complex structure<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">A huge amount of information is handled<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">Use both yes: your system or service needs consistency and flexibility in different components.<\/span><\/p>\n<p>&nbsp;<\/p>","protected":false},"excerpt":{"rendered":"<p>Relational and document-oriented databases, which one should I use? Databases are behind virtually any application or website. They allow you to save information and consult it when necessary to eventually show it to the user. In this way, the information is always kept dynamic. On the other hand, there are several types of bases of [\u2026]<\/p>","protected":false},"author":3,"featured_media":4974,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-4973","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sin-categoria"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Bases de datos relacionales y orientadas a documentos, \u00bfcu\u00e1l debo usar?<\/title>\n<meta name=\"description\" content=\"Bases de datos relacionales y orientadas a documentos con muchas beneficios \u00bfCu\u00e1l es la que m\u00e1s te conviene para tu negocio?\" \/>\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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