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MonetDB

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MonetDB Solutions at ACTiCLOUD Kickoff with partners #ICCS #UNIMAN #UMU Kaleao Neo4j OnApp NumascaleAS http://bit.ly/2iHn97Q
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"MonetDB Goes Headless" - the complete #monetdb storage model revamp, a blog of Sjoerd Mullender
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With a Dec2016 release, we wish all #monetdb users Merry Christmas & Happy 2017! Thanks for your trust and support!
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CONGRATS 2 @coherentpaas & partners 4a successful final review! Project qualified as Excellent in Technology!
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Curious what's next to come in MonetDB? Check out martin kersten blog "MonetDB autumn 2016 feature release outlook"
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#MariaDB ColumnStore vs. #InnoDB vs. #MonetDB - a nice analysis on ReportServer by Arno Mittelbach
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MonetDB Solutions at kickoff meeting EUproject #FashionBrain with partners Zalando Fashwell Sheffield University eXascale Infolab Beuth Hochschule
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Need a new way to store & process #BigData? martin kersten Lefteris Sidirourgos give u "A database system with amnesia" #CIDR2017
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Dec2016 main features: Python UDF, new index, 20% faster TPC-H, simplified storage model, separate clients. Release notes will tell you all
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Congrats to Thibault Sellam CWI on defending his PhD thesis "Automatic Assistants for Database Exploration"
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Want to discover new datasets quickly? check out #rstats pkg FINDVIEWS for analysts by Thibault Sellam #monetdb #cwi
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CONGRATS to our partners in EU projects #ACTiCLOUD and #FashionBrain for acquiring project fundings! #MonetDBSolutions
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The column-store pioneers
Introduction
When your database grows into millions of records spread over many tables and business intelligence/science becomes the prevalent application domain, a column-store database management system is called for. Unlike traditional row-stores, a column-store provides a modern and scalable solution, without calling for substantial hardware investments.

MonetDB pioneered column-store solutions for high-performance data warehouses for business intelligence and eScience since 1993. Since then the team was responsible for innovations at all layers of a DBMS, e.g. a storage model based on vertical fragmentation, a modern CPU-tuned query execution architecture, automatic and adaptive indices, run-time query optimization, and a modular software architecture.

MonetDB provides support for embedded R and Python UDFs, combining the flexibly of the software toolkits with the performance of database management system for no-hassle analytics. MonetDB provided in-line access to R and Python functions, with no data copying between system for maximum performance and no data transformations.