{"id":183201,"date":"2024-03-18T08:38:00","date_gmt":"2024-03-18T07:38:00","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=183201"},"modified":"2024-03-14T21:08:20","modified_gmt":"2024-03-14T20:08:20","slug":"apache-presto-everything-you-need-to-know-about-this-distributed-sql-query-engine","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/apache-presto-everything-you-need-to-know-about-this-distributed-sql-query-engine","title":{"rendered":"Apache Presto: everything you need to know about this distributed SQL query engine"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"183201\" class=\"elementor elementor-183201\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-dfc96d5 e-flex e-con-boxed e-con\" data-id=\"dfc96d5\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-58ae672 elementor-widget elementor-widget-heading\" data-id=\"58ae672\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">The ability to efficiently manage large datasets has become an unavoidable necessity. Apache Presto, a distributed SQL query engine designed for high-speed performance on huge data volumes, is the answer to this challenge.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-285b896 elementor-widget elementor-widget-text-editor\" data-id=\"285b896\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>Initially developed by Facebook to meet their own massive <a href=\"https:\/\/datascientest.com\/en\/modernising-data-processing-with-new-tools\">data processing<\/a> needs, Presto quickly evolved into the industry&#8217;s solution of choice, offering remarkable flexibility and efficiency.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c22973f e-flex e-con-boxed e-con\" data-id=\"c22973f\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2891136 elementor-widget elementor-widget-heading\" data-id=\"2891136\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Key features of Apache Presto<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0d13d6e elementor-widget elementor-widget-text-editor\" data-id=\"0d13d6e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Apache Presto<\/strong> offers a range of features that set it apart from other <a href=\"https:\/\/datascientest.com\/en\/apache-kafka-the-real-time-data-processing-platform\">data processing technologies<\/a>, making it particularly well-suited for fast, efficient analysis of large volumes of data.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-37667a2 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"37667a2\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Find out more about our training courses<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b3c1ff6 e-flex e-con-boxed e-con\" data-id=\"b3c1ff6\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-5e5ddcf e-con-full e-flex e-con\" data-id=\"5e5ddcf\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ba6b5c3 elementor-widget elementor-widget-image\" data-id=\"ba6b5c3\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/01\/image6.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e56e2a0 e-con-full e-flex e-con\" data-id=\"e56e2a0\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-69fd2e6 elementor-widget elementor-widget-heading\" data-id=\"69fd2e6\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Support for multiple data sources<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6e2587c elementor-widget elementor-widget-text-editor\" data-id=\"6e2587c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Extensive connectivity<\/strong><\/p><p>Presto can connect to a variety of data sources, such as distributed file systems (like <a href=\"https:\/\/datascientest.com\/en\/decoding-hdfs-unveiling-the-core-of-hadoop-distributed-file-system\">HDFS<\/a>), relational databases, and even cloud storage services. This capability enables users to perform queries on data from heterogeneous sources, without the need to first move or transform the data.<\/p><p><strong>Data federation<\/strong><\/p><p>With this feature, users can run queries involving multiple data sources in a single SQL query, greatly simplifying the analysis of disparate data.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2b05ce1 e-flex e-con-boxed e-con\" data-id=\"2b05ce1\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-e9bc579 e-con-full e-flex e-con\" data-id=\"e9bc579\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e9029d2 elementor-widget elementor-widget-image\" data-id=\"e9029d2\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/01\/image1.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a87d5b5 e-con-full e-flex e-con\" data-id=\"a87d5b5\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5c8f923 elementor-widget elementor-widget-heading\" data-id=\"5c8f923\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Query performance and optimization<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7a5ee51 elementor-widget elementor-widget-text-editor\" data-id=\"7a5ee51\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Fast execution<\/strong><\/p><p>Designed for high query performance, even on very large datasets, it uses an <a href=\"https:\/\/datascientest.com\/en\/ram-or-random-access-memory-what-is-it\">in-memory processing model<\/a> and parallelizes queries across the cluster to accelerate response times.<\/p><p><strong>Advanced optimizations<\/strong><\/p><p>The engine incorporates sophisticated optimizations such as distributed query planning, predicate pushdown and other optimization techniques to maximize query efficiency.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-caf6262 e-flex e-con-boxed e-con\" data-id=\"caf6262\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-b1ef884 e-con-full e-flex e-con\" data-id=\"b1ef884\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-812488b elementor-widget elementor-widget-image\" data-id=\"812488b\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/01\/image7.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ce9b7ff e-con-full e-flex e-con\" data-id=\"ce9b7ff\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d2a6993 elementor-widget elementor-widget-heading\" data-id=\"d2a6993\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Flexibility and scalability<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-08b1ae2 elementor-widget elementor-widget-text-editor\" data-id=\"08b1ae2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Horizontal scalability<\/strong><\/p><p>Presto can be easily scaled to handle load increases simply by adding more nodes to the cluster. This makes it ideal for environments where data volumes and compute requirements can fluctuate.<\/p><p><strong>Ad hoc and analytical query support<\/strong><\/p><p>Flexible in terms of the types of queries it can execute, from simple ad hoc queries to complex analyses, making it useful for a wide range of analytical applications.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-bf83808 e-flex e-con-boxed e-con\" data-id=\"bf83808\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-e821ef3 e-con-full e-flex e-con\" data-id=\"e821ef3\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-42117da elementor-widget elementor-widget-image\" data-id=\"42117da\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/01\/image5.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b860f02 e-con-full e-flex e-con\" data-id=\"b860f02\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4df6ad6 elementor-widget elementor-widget-heading\" data-id=\"4df6ad6\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">SQL support and extensions<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b291bc8 elementor-widget elementor-widget-text-editor\" data-id=\"b291bc8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>SQL compatibility<\/strong><\/p><p>It supports much of the <a href=\"https:\/\/datascientest.com\/en\/sql-learn-all-about-the-programming-language-for-databases\">SQL standard<\/a>, including complex functions, joins, aggregations and subqueries, making it easy to learn for those familiar with SQL.<\/p><p><strong>Extensions and customization<\/strong><\/p><p>It also offers the possibility of extending its capabilities with user-defined functions and plug-ins, enabling advanced customization according to specific needs.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-72ae7fd e-flex e-con-boxed e-con\" data-id=\"72ae7fd\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-5b425b1 e-con-full e-flex e-con\" data-id=\"5b425b1\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-07350d5 elementor-widget elementor-widget-image\" data-id=\"07350d5\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/01\/image10.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-37d548d e-con-full e-flex e-con\" data-id=\"37d548d\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4a4760f elementor-widget elementor-widget-heading\" data-id=\"4a4760f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Ease of use and maintenance<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ec89092 elementor-widget elementor-widget-text-editor\" data-id=\"ec89092\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Simple configuration<\/strong><\/p><p>Presto is relatively simple to configure and maintain, with a minimum of external dependencies. This ease of configuration makes it attractive to teams with limited resources.<\/p><p><strong>Active community and support<\/strong><\/p><p>With an active open-source community and growing support from major technology companies, Presto benefits from constant evolution and strong user support.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-719adba elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"719adba\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-scientist-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Discover our training courses<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b2ff93b e-flex e-con-boxed e-con\" data-id=\"b2ff93b\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d40c2a9 elementor-widget elementor-widget-heading\" data-id=\"d40c2a9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Comparison with other tools<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-78bcaa1 e-flex e-con-boxed e-con\" data-id=\"78bcaa1\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-b5f28ea e-con-full e-flex e-con\" data-id=\"b5f28ea\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c7259e8 elementor-widget elementor-widget-image\" data-id=\"c7259e8\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/01\/image3.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6ff3b23 e-con-full e-flex e-con\" data-id=\"6ff3b23\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9fb1286 elementor-widget elementor-widget-heading\" data-id=\"9fb1286\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Versus Hive<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ed38183 elementor-widget elementor-widget-text-editor\" data-id=\"ed38183\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Performance<\/strong><\/p><p>Presto is generally faster than Hive for most queries. Presto is designed for rapid analysis and ad hoc queries, while Hive is better suited to batch data processing tasks.<\/p><p><strong>Processing model<\/strong><\/p><p>Hive uses <a href=\"https:\/\/datascientest.com\/en\/mapreduce-how-to-use-it-for-big-data\">MapReduce<\/a> for batch processing, which can be slower for some queries. Presto, on the other hand, uses an in-memory processing model, which speeds up query processing.<\/p><p>SQL on Hadoop<\/p><p>While Hive was one of the first tools to enable SQL queries to be written on Hadoop, Presto offers a more modern approach with better performance.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3907507 e-flex e-con-boxed e-con\" data-id=\"3907507\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-9143b07 e-con-full e-flex e-con\" data-id=\"9143b07\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-53feabd elementor-widget elementor-widget-image\" data-id=\"53feabd\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/01\/image2.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-19f581b e-con-full e-flex e-con\" data-id=\"19f581b\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1af116a elementor-widget elementor-widget-heading\" data-id=\"1af116a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Versus Apache Spark<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-18e7723 elementor-widget elementor-widget-text-editor\" data-id=\"18e7723\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Data processing<\/strong><\/p><p>Spark is primarily designed for batch processing and in-memory calculations, while Presto is optimized for ad hoc queries on large datasets.<\/p><p><strong>Ecosystem and integration<\/strong><\/p><p>Spark is part of a wider ecosystem, including Spark Streaming, MLlib for machine learning, and GraphX for graph processing. Presto is more specialized in <a href=\"https:\/\/datascientest.com\/en\/open-sql-file-complete-tutorial\">SQL query execution.<\/a><\/p><p><strong>Programming languages<\/strong><\/p><p>Spark supports several programming languages (Scala, Java, Python, R), offering greater flexibility for application development. Presto focuses primarily on SQL.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-da593fd e-flex e-con-boxed e-con\" data-id=\"da593fd\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-14afd7d elementor-widget elementor-widget-heading\" data-id=\"14afd7d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Advantages and disadvantages<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-24a6eaf elementor-widget elementor-widget-html\" data-id=\"24a6eaf\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style type=\"text\/css\">\r\n.tg  {border-collapse:collapse;border-spacing:0;}\r\n.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\r\n  overflow:hidden;padding:10px 5px;word-break:normal;}\r\n.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\r\n  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}\r\n.tg .tg-0x09{background-color:#9b9b9b;text-align:left;vertical-align:top}\r\n.tg .tg-t724{background-color:#D9D9D9;font-family:Tahoma, Geneva, sans-serif !important;font-size:18px;font-weight:bold;\r\n  text-align:left;vertical-align:middle}\r\n.tg .tg-6qw1{background-color:#c0c0c0;text-align:center;vertical-align:top}\r\n.tg .tg-08l1{background-color:#F3F3F3;font-family:Tahoma, Geneva, sans-serif !important;font-size:18px;text-align:left;\r\n  vertical-align:top}\r\n<\/style>\r\n<table class=\"tg\" style=\"undefined;table-layout: fixed; width: 700px\">\r\n<colgroup>\r\n<col style=\"width: 100px\">\r\n<col style=\"width: 300px\">\r\n<col style=\"width: 300px\">\r\n<\/colgroup>\r\n<thead>\r\n  <tr>\r\n    <th class=\"tg-0x09\"><\/th>\r\n    <th class=\"tg-6qw1\"><img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/01\/image4.png\" width=\"30\" height=\"30\"><\/th>\r\n    <th class=\"tg-6qw1\"><img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/01\/image8.png\" width=\"30\" height=\"30\"><\/th>\r\n  <\/tr>\r\n<\/thead>\r\n<tbody>\r\n  <tr>\r\n    <td class=\"tg-t724\"><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Presto<\/span><\/td>\r\n    <td class=\"tg-08l1\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Rapidity of queries, support for multiple data sources, and ease of use for those familiar with SQL.<\/span><\/td>\r\n    <td class=\"tg-08l1\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Less suitable for batch processing and intensive computations.<\/span><\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-t724\"><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Hive<\/span><\/td>\r\n    <td class=\"tg-08l1\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Better suited for batch processing and ETL tasks, and widely adopted in the industry.<\/span><\/td>\r\n    <td class=\"tg-08l1\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Slower performance for ad hoc queries.<\/span><\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-t724\"><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Spark<\/span><\/td>\r\n    <td class=\"tg-08l1\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Fast batch processing, support for real-time streaming, and flexibility with multiple programming languages.<\/span><\/td>\r\n    <td class=\"tg-08l1\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">May be more complex to configure and optimize, especially for simple SQL queries.<\/span><\/td>\r\n  <\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-654b31b e-flex e-con-boxed e-con\" data-id=\"654b31b\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6d36c3f elementor-widget elementor-widget-heading\" data-id=\"6d36c3f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Conclusion<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f653bbc elementor-widget elementor-widget-text-editor\" data-id=\"f653bbc\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Apache Presto<\/strong> stands out as a fast and flexible distributed SQL query engine, ideal for ad hoc analysis of large datasets. Its ability to query a variety of data sources and its efficient architecture make it a valuable choice in the <strong>Big Data ecosystem.<\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-04e1193 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"04e1193\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Find out about our training courses<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b9f2149 elementor-widget elementor-widget-html\" data-id=\"b9f2149\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [{\n    \"@type\": \"Question\",\n    \"name\": \"What is Apache Presto?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"Apache Presto is a distributed SQL query engine, designed for high-speed performance on huge volumes of data. 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Its ability to query a variety of data sources and its efficient architecture make it a valuable choice in the Big Data ecosystem.\"\n    }\n  }]\n}\n<\/script>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>The ability to efficiently manage large datasets has become an unavoidable necessity. Apache Presto, a distributed SQL query engine designed for high-speed performance on huge data volumes, is the answer to this challenge. Initially developed by Facebook to meet their own massive data processing needs, Presto quickly evolved into the industry&#8217;s solution of choice, offering [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":183208,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Apache Presto: everything you need to know about this distributed SQL query engine<\/title>\n<meta name=\"description\" content=\"Apache Presto is a powerful distributed SQL query engine that provides fast, scalable, and flexible analytics capabilities for querying...\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/apache-presto-everything-you-need-to-know-about-this-distributed-sql-query-engine\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Apache Presto: everything you need to know about this distributed SQL query engine\" \/>\n<meta property=\"og:description\" content=\"The ability to efficiently manage large datasets has become an unavoidable necessity. 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