{"id":619,"date":"2014-08-05T12:00:31","date_gmt":"2014-08-05T16:00:31","guid":{"rendered":"https:\/\/solutionsreview.com\/data-integration\/?p=619"},"modified":"2016-10-05T10:29:05","modified_gmt":"2016-10-05T14:29:05","slug":"gartner-magic-quadrant-for-data-integration-tools-deja-vu-all-over-again","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/data-integration\/gartner-magic-quadrant-for-data-integration-tools-deja-vu-all-over-again\/","title":{"rendered":"Garnter&#8217;s Magic Quadrant for Data Integration Tools: What has changed since 2013?"},"content":{"rendered":"<p><a href=\"https:\/\/solutionsreview.com\/data-integration\/files\/2014\/08\/D\u00e9j\u00e0-vu-for-the-2014-Gartner-Magic-Quadrant-for-Data-Integration.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-medium wp-image-621\" src=\"https:\/\/solutionsreview.com\/data-integration\/files\/2014\/08\/D\u00e9j\u00e0-vu-for-the-2014-Gartner-Magic-Quadrant-for-Data-Integration-300x135.jpg\" alt=\"D\u00e9j\u00e0 vu for the 2014 Gartner Magic Quadrant for Data Integration\" width=\"300\" height=\"135\" srcset=\"https:\/\/solutionsreview.com\/data-integration\/files\/2014\/08\/D\u00e9j\u00e0-vu-for-the-2014-Gartner-Magic-Quadrant-for-Data-Integration-300x135.jpg 300w, https:\/\/solutionsreview.com\/data-integration\/files\/2014\/08\/D\u00e9j\u00e0-vu-for-the-2014-Gartner-Magic-Quadrant-for-Data-Integration.jpg 600w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a>If you follow Data Integration, then you probably already know that <a href=\"https:\/\/www.gartner.com\">Gartner<\/a> has released its 2014 Magic Quadrant for Data Integration Tools. It\u2019s a fairly long document and like most people, you won\u2019t have the time to thoroughly read\u00a0it. So here&#8217;s a bit of advice: If you still have last year&#8217;s report, then just skim it . . . Not that much has changed. Below is a brief review that summarizes the few\u00a0changes in the Gartner Magic Quadrant for Data Integration Tools between 2013 and 2014.<\/p>\n<p>If you look at the Gartner Magic Quadrant, you\u00a0can see that Informatica is now positioned at the upper-right most spot in the Gartner Magic Quadrant (\u201cLeaders\u201d), by overtaking IBM in &#8220;ability to execute&#8221;, making them the outright leader in both execution and vision in the data integration space. Informatica is a company striving to create broader solutions and has launched or will be launching more comprehensive offerings\u00a0with a breadth of functionality and usage in the near future. <a href=\"https:\/\/solutionsreview.com\/data-integration\/informatica-new-tools-and-platforms-the-future-is-looking-broader\/\">https:\/\/solutionsreview.com\/data-integration\/informatica-new-tools-and-platforms-the-future-is-looking-broader\/<\/a><\/p>\n<p>In the upper-left quadrant (\u201cChallengers\u201d) Microsoft made a move up in its \u201cability to execute\u201d passing incumbents Oracle and SAP. This is largely due to some key factors. First, their aligned support of data and process-oriented integration which offers access to almost any commercially available relational database sources and targets making them extremely flexible. Second, their user-friendly interface design allows users to grasp it quickly enhancing productivity and time to value.<\/p>\n<p><a href=\"https:\/\/solutionsreview.com\/data-integration\/get-a-free-2014-data-integration-tools-vendors-and-software-buyers-guide\/\"><strong>Check Out this Free 2014 Data Integration Tools and Software Buyers Guide<\/strong><\/a><\/p>\n<p><strong>The Market Overview<\/strong><\/p>\n<p>Included each year in Gartner\u2019s Magic Quadrant report is a market overview that describes the current landscape of the industry. Let\u2019s compare 2013 to 2014 to give us an understanding of what has changed in Gartner\u2019s eyes over the last year.<\/p>\n<p><strong>In the 2013, Gartner\u2019s view of the market:<\/strong><\/p>\n<ul>\n<li>there was a demand for the flexibility of their information infrastructure to capitalize on new challenges in driving a renewed vision and focus among providers<\/li>\n<li>an increasing desire in organizations to reduce the number of tactical data integration tools with chosen enterprise standard<\/li>\n<li>an increasing demand for real-time data delivery and service oriented data integration<\/li>\n<li>a demand in synergy for application and data integration and data management<\/li>\n<li>an uptick in the reusability of tools for broad applications<\/li>\n<\/ul>\n<p><strong>In the 2014, Gartner\u2019s view of the market:<\/strong><\/p>\n<p>Frankly, Gartner still sees the market as they did in 2013 except for a couple of key trends:<\/p>\n<ul>\n<li>growing momentum for cloud-based integration<\/li>\n<li>demand for self-service data integration capabilities for the business-user-facing data preparation<\/li>\n<\/ul>\n<p>For the most part, most of Gartner\u2019s views coincide with my experiences speaking with IT and business professionals who work with data integration. However, Gartner believes that the market will reduce the number of data integration tools with a chosen few enterprise standards. I\u2019m not seeing this at all. I\u2019m noticing that companies that have full SAP and SQL shops for example, are becoming more hybridized by\u00a0integrating different solutions to meet their complex and evolving demands.<\/p>\n<p><a href=\"https:\/\/solutionsreview.com\/data-integration\/get-a-free-2014-data-integration-tools-vendors-and-software-buyers-guide\/\">Click here<\/a> for a <strong>Free 2014 Data Integration Tools Buyers Guide<\/strong> which outlines features and capabilities of the Data Integration providers that Gartner lists and also a handful more, giving you a better understanding of your Data Integration options.<\/p>\n<br \/>Widget not in any sidebars<br \/>\n","protected":false},"excerpt":{"rendered":"<p>If you follow Data Integration, then you probably already know that Gartner has released its 2014 Magic Quadrant for Data Integration Tools. It\u2019s a fairly long document and like most people, you won\u2019t have the time to thoroughly read\u00a0it. So here&#8217;s a bit of advice: If you still have last year&#8217;s report, then just skim [&hellip;]<\/p>\n","protected":false},"author":23,"featured_media":621,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1,3],"tags":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>D\u00e9j\u00e0 vu for the 2014 Gartner Magic Quadrant for Data Integration<\/title>\n<meta name=\"description\" content=\"Not much has changed in the newly released 2014 Gartner Magic Quadrant for Data Integration Tools. It\u2019s a fairly long document so here&#039;s a bit of advice: If you have last year&#039;s report just re-read it\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/solutionsreview.com\/data-integration\/gartner-magic-quadrant-for-data-integration-tools-deja-vu-all-over-again\/\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Tim King\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/gartner-magic-quadrant-for-data-integration-tools-deja-vu-all-over-again\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/gartner-magic-quadrant-for-data-integration-tools-deja-vu-all-over-again\/\"},\"author\":{\"name\":\"Tim King\",\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/#\/schema\/person\/154e152a275103e373e24ada7f2feb5c\"},\"headline\":\"Garnter&#8217;s Magic Quadrant for Data Integration Tools: What has changed since 2013?\",\"datePublished\":\"2014-08-05T16:00:31+00:00\",\"dateModified\":\"2016-10-05T14:29:05+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/gartner-magic-quadrant-for-data-integration-tools-deja-vu-all-over-again\/\"},\"wordCount\":557,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/#organization\"},\"image\":{\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/gartner-magic-quadrant-for-data-integration-tools-deja-vu-all-over-again\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/solutionsreview.com\/data-integration\/files\/2014\/08\/D\u00e9j\u00e0-vu-for-the-2014-Gartner-Magic-Quadrant-for-Data-Integration.jpg\",\"articleSection\":[\"Best Practices\",\"Data Integration News\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/solutionsreview.com\/data-integration\/gartner-magic-quadrant-for-data-integration-tools-deja-vu-all-over-again\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/gartner-magic-quadrant-for-data-integration-tools-deja-vu-all-over-again\/\",\"url\":\"https:\/\/solutionsreview.com\/data-integration\/gartner-magic-quadrant-for-data-integration-tools-deja-vu-all-over-again\/\",\"name\":\"D\u00e9j\u00e0 vu for the 2014 Gartner Magic Quadrant for Data Integration\",\"isPartOf\":{\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/gartner-magic-quadrant-for-data-integration-tools-deja-vu-all-over-again\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/gartner-magic-quadrant-for-data-integration-tools-deja-vu-all-over-again\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/solutionsreview.com\/data-integration\/files\/2014\/08\/D\u00e9j\u00e0-vu-for-the-2014-Gartner-Magic-Quadrant-for-Data-Integration.jpg\",\"datePublished\":\"2014-08-05T16:00:31+00:00\",\"dateModified\":\"2016-10-05T14:29:05+00:00\",\"description\":\"Not much has changed in the newly released 2014 Gartner Magic Quadrant for Data Integration Tools. 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