{"id":16822,"date":"2017-01-03T10:00:40","date_gmt":"2017-01-03T18:00:40","guid":{"rendered":"http:\/\/insidebigdata.com\/?p=16822"},"modified":"2016-12-28T15:52:12","modified_gmt":"2016-12-28T23:52:12","slug":"gridgain-professional-edition-1-8-adds-in-memory-sql-grid-to-in-memory-computing-platform","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2017\/01\/03\/gridgain-professional-edition-1-8-adds-in-memory-sql-grid-to-in-memory-computing-platform\/","title":{"rendered":"GridGain Professional Edition 1.8 Adds In-Memory SQL Grid to In-Memory Computing Platform"},"content":{"rendered":"<p><a href=\"http:\/\/www.gridgain.com\/\" target=\"_blank\"><img decoding=\"async\" loading=\"lazy\" class=\"alignright size-full wp-image-15813\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2016\/08\/Gridgain.png\" alt=\"Gridgain\" width=\"156\" height=\"46\" \/>GridGain Systems<\/a>,\u00a0provider\u00a0of enterprise-grade in-memory computing solutions based on Apache\u00ae Ignite\u2122, announced the availability of GridGain Professional Edition 1.8, a fully supported version of\u00a0<a href=\"https:\/\/ignite.apache.org\/index.html\" target=\"_blank\">Apache Ignite 1.8<\/a>. GridGain Professional Edition 1.8 includes an\u00a0<a href=\"https:\/\/www.gridgain.com\/technology\/in-memory-computing-platform\/sql-grid\" target=\"_blank\">In-Memory SQL Grid<\/a>, which extends the platform by providing in-memory distributed database capabilities. The In-Memory SQL Grid will help users dramatically speed up and scale out their SQL applications with minimal or no code changes. Users are now able to query data in GridGain using SQL through ODBC\/JDBC and also modify the data using DML statements with no custom coding required. Enhanced geospatial functionality is also included. The In-Memory SQL Grid will make the GridGain in-memory computing platform easier to integrate and enable more functionality for a wide variety of use cases including web-scale applications and the Internet of Things (IoT). GridGain Professional Edition 1.8 also includes Redis protocol support and support for .NET Entity Framework 2nd-Level Cache and ASP.NET\u00a0Session Caching.<\/p>\n<blockquote><p>The GridGain Professional Edition 1.8 is a major step forward for our in-memory computing platform. It adds key features which makes it easier for users to communicate with the GridGain platform and provides even better functionality for demanding use cases such as web-scale applications and the Internet of Things,\u201d said Abe Kleinfeld,\u00a0President\u00a0and CEO of GridGain Systems. \u201cAs the world\u2019s most comprehensive in-memory computing platform, GridGain Professional Edition 1.8 makes it easier than ever for more companies to deploy in-memory computing to achieve their speed and scalability goals.\u201d<\/p><\/blockquote>\n<p><strong>GridGain In-Memory SQL Grid with DML and Geospatial Functionality<\/strong><\/p>\n<p>The In-Memory SQL Grid adds in-memory distributed database capabilities to the GridGain platform, which help dramatically speed up and scale out SQL applications with minimal or no code changes. The In-Memory SQL Grid is horizontally scalable, fault tolerant and ANSI SQL-99 compliant. It fully supports SQL and DML commands including SELECT, UPDATE, INSERT, MERGE and DELETE queries.<\/p>\n<p>The In-Memory SQL Grid allows users to interact with the GridGain platform using standard SQL commands through the GridGain\u00a0JDBC\u00a0or ODBC APIs without custom coding. In addition to natively supported\u00a0Java, .NET,\u00a0and C++, the new JDBC and ODBC driver capabilities allow SQL-based cross-platform connectivity from languages such as Ruby, PHP, Python, and more.<\/p>\n<p>Enhanced\u00a0<a href=\"https:\/\/www.gridgain.com\/technology\/in-memory-computing-platform\/geospatial-functionality\" target=\"_blank\">geospatial functionality<\/a>\u00a0is also supported by the In-Memory SQL Grid, making the GridGain in-memory computing platform well suited for an increasing number of location-based IoT use cases, such as those found in transportation, logistics, mobile, retail and wearables.<\/p>\n<p><strong>Redis Protocol Support<\/strong><\/p>\n<p>Redis is an open source in-memory data structure store that can be used as a database,\u00a0cache\u00a0and message broker. Native support for Redis in GridGain Professional Edition 1.8 enables users to store and retrieve distributed data to and from a GridGain cache using any Redis-compliant client. This allows users to easily migrate from the Redis caching solution to the full-featured GridGain in-memory computing platform with minimal changes to their client communication protocols.<\/p>\n<p><strong>.NET Entity Framework 2nd-Level Cache and ASP.NET\u00a0Session Caching<\/strong><\/p>\n<p>Support is now provided for .NET Entity Framework\u2019s 2nd level cache, which can be easily plugged into existing applications. This delivers significant performance improvements because query results are stored in a shared, distributed, fault-tolerant cache.<\/p>\n<p>Further, an enriched ASP.NET\u00a0session management component provided by the Ignite.NET\u00a0session state provider allows a session to be distributed across a cluster of machines for fault-tolerant workload balancing.<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p><em>Sign up for the free insideBIGDATA\u00a0<a href=\"http:\/\/insidebigdata.com\/newsletter\/\" target=\"_blank\">newsletter<\/a>.<\/em><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>GridGain Systems, provider of enterprise-grade in-memory computing solutions based on Apache\u00ae Ignite\u2122, announced the availability of GridGain Professional Edition 1.8, a fully supported version of Apache Ignite 1.8. GridGain Professional Edition 1.8 includes an In-Memory SQL Grid, which extends the platform by providing in-memory distributed database capabilities. The In-Memory SQL Grid will help users dramatically speed up and scale out their SQL applications with minimal or no code changes.<\/p>\n","protected":false},"author":10513,"featured_media":15813,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[87,180,207,56,1],"tags":[321,96],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>GridGain Professional Edition 1.8 Adds In-Memory SQL Grid to In-Memory Computing Platform - insideBIGDATA<\/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:\/\/insidebigdata.com\/2017\/01\/03\/gridgain-professional-edition-1-8-adds-in-memory-sql-grid-to-in-memory-computing-platform\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GridGain Professional Edition 1.8 Adds In-Memory SQL Grid to In-Memory Computing Platform - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"GridGain Systems, provider of enterprise-grade in-memory computing solutions based on Apache\u00ae Ignite\u2122, announced the availability of GridGain Professional Edition 1.8, a fully supported version of Apache Ignite 1.8. GridGain Professional Edition 1.8 includes an In-Memory SQL Grid, which extends the platform by providing in-memory distributed database capabilities. 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GridGain Professional Edition 1.9 includes improved performance and automated benchmarking, Kubernetes\u00ae support for deploying containerized Ignite clusters, expanded support for data\u2026","rel":"","context":"In &quot;Google News Feed&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":17702,"url":"https:\/\/insidebigdata.com\/2017\/04\/27\/gridgain-professional-edition-1-9-improves-performance-adds-kubernetes-support-2\/","url_meta":{"origin":16822,"position":1},"title":"GridGain Professional Edition 1.9 Improves Performance, Adds Kubernetes\u00ae Support and More","date":"April 27, 2017","format":false,"excerpt":"GridGain Systems, provider of enterprise-grade in-memory computing platform solutions based on Apache\u00ae Ignite\u2122, announced the availability of GridGain Professional Edition 1.9, a fully supported version of Apache Ignite 1.9. GridGain Professional Edition 1.9 includes improved performance and automated benchmarking, Kubernetes\u00ae support for deploying containerized Ignite clusters, expanded support for data\u2026","rel":"","context":"In &quot;News \/ Analysis&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":16023,"url":"https:\/\/insidebigdata.com\/2016\/09\/15\/gridgain-professional-edition-1-7-released\/","url_meta":{"origin":16822,"position":2},"title":"GridGain Professional Edition 1.7  Released","date":"September 15, 2016","format":false,"excerpt":"GridGain Systems, provider of enterprise-grade in-memory computing platform solutions based on Apache\u00ae Ignite\u2122, announced the availability of the GridGain Professional Edition 1.7, a fully supported version of Apache Ignite 1.7.","rel":"","context":"In &quot;Data Storage&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":18179,"url":"https:\/\/insidebigdata.com\/2017\/06\/20\/gridgain-systems-introduces-next-generation-memory-computing-platform\/","url_meta":{"origin":16822,"position":3},"title":"GridGain Systems Introduces Next-Generation In-Memory Computing Platform","date":"June 20, 2017","format":false,"excerpt":"GridGain Systems, provider of enterprise-grade in-memory computing platform solutions based on Apache\u00ae Ignite\u2122, today announced GridGain 8.1. The solution expands the bounds of in-memory computing with a new memory-centric architecture, which leverages ongoing advancements in memory and storage technologies to provide distributed in-memory computing performance with the cost and durability\u2026","rel":"","context":"In &quot;Google News Feed&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":15296,"url":"https:\/\/insidebigdata.com\/2016\/07\/01\/gridgain-professional-edition-1-6-release-adds-native-support-for-apache-cassandra\/","url_meta":{"origin":16822,"position":4},"title":"GridGain Professional Edition 1.6 Release Adds Native Support for Apache\u00ae Cassandra\u2122","date":"July 1, 2016","format":false,"excerpt":"GridGain Systems, provider of enterprise-grade In-Memory Data Fabric solutions based on Apache\u00ae Ignite\u2122, announced the availability of GridGain Professional Edition 1.6, an in-memory computing platform enabling high-performance transactions that run 1,000x faster than disk-based approaches.","rel":"","context":"In &quot;Featured&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":14894,"url":"https:\/\/insidebigdata.com\/2016\/04\/21\/gridgain-announces-support-offering-for-apache-ignite\/","url_meta":{"origin":16822,"position":5},"title":"GridGain Announces Support Offering for Apache\u00ae Ignite\u2122","date":"April 21, 2016","format":false,"excerpt":"GridGain Systems, provider of enterprise-grade In-Memory Data Fabric solutions based on Apache\u00ae Ignite\u2122, announced the availability of its Standard Professional Support subscription, which includes a license for the new GridGain In-Memory Data Fabric - Professional Edition 1.5, a fully supported version of Apache Ignite.","rel":"","context":"In &quot;Featured&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/16822"}],"collection":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/users\/10513"}],"replies":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/comments?post=16822"}],"version-history":[{"count":0,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/16822\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media\/15813"}],"wp:attachment":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media?parent=16822"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/categories?post=16822"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/tags?post=16822"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}