{"id":1984,"date":"2017-01-30T16:21:30","date_gmt":"2017-01-30T21:21:30","guid":{"rendered":"https:\/\/solutionsreview.com\/data-integration\/?p=1984"},"modified":"2018-03-22T11:56:16","modified_gmt":"2018-03-22T15:56:16","slug":"4-data-virtualization-vendors-to-watch-in-2017","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/data-integration\/4-data-virtualization-vendors-to-watch-in-2017\/","title":{"rendered":"4 Data Virtualization Vendors to watch in 2017"},"content":{"rendered":"

\"4<\/p>\n

Data Virtualization tools are being deployed by companies that want to light a fire under their Data Discovery projects. With more modern, distributed analytics solutions becoming the new norm, companies\u00a0crave the ability to obtain one single view of the totality of their data without having to do anything to it.\u00a0As an added benefit, users are able to make real-time changes to data sets without disrupting the data as it physically sits, allowing them to virtually integrate disparate data sources quickly.<\/p>\n

In Gartner\u2019s recent Market Guide for Data Virtualization<\/em><\/a>, the technology research giant goes into detail describing what\u00a0kind of an impact Data Virtualization will have on the enterprise in the years to come. Virtualization tools offer data and analytics professionals a Data Integration strategy to limit data silos and address new analytical opportunities through enhancements in data access. As a strategic planning assumption, Gartner projects that by 2020, 35 percent of enterprise organizations will implement Data Virtualization in some form as a more forward-thinking option for Data Integration.<\/p>\n

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\"Download<\/a><\/p>\n<\/div>\n\t\t<\/div><\/div>\n

Whether its inclusion in the most recent\u00a0Gartner Magic Quadrant<\/a>, the release of an interesting new tool<\/a>, or the securing of a new round of funding<\/a>, these are the top 4 Data Virtualization\u00a0providers we are keeping our eye on for 2017 and beyond:<\/p>\n

1. Denodo<\/strong><\/p>\n

Denodo delivers on-demand real-time data access to many sources as integrated data services with high performance using intelligent real-time query optimization, caching, in-memory and hybrid strategies. These are automatically (or manually) chosen based on source constraints, application need and network awareness.\u00a0 Denodo data services scale horizontally and vertically to meet most analytical and application needs.<\/p>\n

Learn more<\/a><\/p>\n

<\/div>\n

2. Red Hat<\/strong><\/p>\n

Red Hat JBoss Data Virtualization is a data supply and integration solution that sits in front of multiple data sources and allows them to be treated as a single source, delivering the needed data in the required form at the exact moment an application or user requests it. \u00a0It performs on both Windows and Linux platforms, reducing adoption complexities.\u00a0It offers top virtualization benchmarks for performance and scalability on both platforms.<\/p>\n

Learn more<\/a><\/p>\n

<\/div>\n

3. Rocket Software<\/strong><\/p>\n

Rocket Data Virtualization solutions make\u00a0it easy to (virtually) integrate data from multiple, disconnected sources into a new single, logical data source that can be accessed in real-time by your applications (BI, analytics, cloud, or mobile),\u00a0without regard to location or format. Valuable information can be shared across the enterprise, giving users insight into evolving customer expectations, competitive threats, and emerging market opportunities.<\/p>\n

Learn more<\/a><\/p>\n

<\/div>\n

4. Stone Bond Technologies<\/strong><\/p>\n

Stone Bond Technologies\u2019 Enterprise Enabler is a virtualization platform that unifies information silos for visibility across multiple data source in real-time. This allows users to analyze business data as it is occurring to maximize the use of assets, minimize costs, and improve business processes. It is a highly scalable, single platform for configuring, testing, deploying, and monitoring Data Integration for a point solution or throughout the enterprise.<\/p>\n

Learn more<\/a><\/p>\n

<\/div>\n
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\"Download<\/a><\/p>\n<\/div>\n\t\t<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

Data Virtualization tools are being deployed by companies that want to light a fire under their Data Discovery projects. With more modern, distributed analytics solutions becoming the new norm, companies\u00a0crave the ability to obtain one single view of the totality of their data without having to do anything to it.\u00a0As an added benefit, users are […]<\/p>\n","protected":false},"author":23,"featured_media":1985,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[3],"tags":[310,169,438,439,309],"acf":[],"yoast_head":"\n4 Data Virtualization Vendors to watch in 2017<\/title>\n<meta name=\"description\" content=\"These are the top 4 Data Virtualization providers we are keeping our eye on for 2017 and beyond.\" \/>\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\/4-data-virtualization-vendors-to-watch-in-2017\/\" \/>\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\/4-data-virtualization-vendors-to-watch-in-2017\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/4-data-virtualization-vendors-to-watch-in-2017\/\"},\"author\":{\"name\":\"Tim King\",\"@id\":\"https:\/\/solutionsreview.com\/data-integration\/#\/schema\/person\/154e152a275103e373e24ada7f2feb5c\"},\"headline\":\"4 Data Virtualization Vendors to watch in 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