Fuzzy Logix

<h2 id="history">History</h2>
<p>Fuzzy Logix was formed in 2007 by Partha Sen and Mike Upchurch who met while working at Bank of America and shared a goal of making analytics pervasive.<a class="footnote-ref" id="fnref:3" href="#fn:3"><sup>3</sup></a> Kaushal Misra and Aashu Virmani joined in 2015, both from IIT Roorkee (same as Partha Sen).
</p><p>In 2008 Fuzzy Logix released DB Lytix, a library of in-database analytics. FIN Lytix was released in 2010 and was the first comprehensive library of in-database financial models. In 2010, Aperity OEM’d Fuzzy Logix models to run in their analytics and CPG software SaaS solutions.
</p><p>In 2011, Quest<a class="footnote-ref" id="fnref:4" href="#fn:4"><sup>4</sup></a>  (now Dell) released Toad for Data Analyst (Data Point) that included Fuzzy Logix's models running in <a href="/facts/MySQL/QEEDNBDP">MySQL</a>.
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<h2 id="software">Software</h2>
<p>Fuzzy Logix offers four software products DB Lytix and Fin Lytix are comprehensive libraries of in-database analytic models.  The libraries leverage the user defined function (UDF) capability available in database platforms.  The software is available on multiple database platforms.
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<h3>DB Lytix</h3>
<p>Fuzzy Logix released DB Lytix in 2008. The library had been under development since 1998. The library includes <a href="/facts/Mathematical/pxTouaz4">mathematical</a>, <a href="/facts/Statistical/DNPsKGYU">statistical</a>, <a href="/facts/Data_mining/AH53q5ac">data mining</a>, <a href="/facts/Simulation/Q4QJV1oI">simulation</a> and classification models.
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<h3>Fin Lytix</h3>
<p>Fuzzy Logix released FIN Lytix, a financial library, in 2010. The library contains models for equity, fixed income, foreign exchange, interest rate and time series models.
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<h2 id="supported-database-platforms">Supported Database Platforms</h2>
<p><a href="/facts/Aster_Data_Systems/KzVK1zBn">Aster Data</a>,<a class="footnote-ref" id="fnref:5" href="#fn:5"><sup>5</sup></a> <a href="/facts/Informix/jDdeW93c">Informix</a>,<a class="footnote-ref" id="fnref:6" href="#fn:6"><sup>6</sup></a> <a href="/facts/Netezza/jVU2WM4f">Netezza</a>,<a class="footnote-ref" id="fnref:7" href="#fn:7"><sup>7</sup></a><a class="footnote-ref" id="fnref:8" href="#fn:8"><sup>8</sup></a> IBM PureData Systems, <a href="/facts/MySQL/QEEDNBDP">MySQL</a>, <a href="/facts/ParAccel/PaU6CN0Q">ParAccel</a>,<a class="footnote-ref" id="fnref:9" href="#fn:9"><sup>9</sup></a> <a href="/facts/Microsoft_SQL_Server/eCdt2JBL">SQL Server</a>,<a class="footnote-ref" id="fnref:10" href="#fn:10"><sup>10</sup></a> <a href="/facts/Sybase_IQ/XLsYXDac">Sybase IQ</a><a class="footnote-ref" id="fnref:11" href="#fn:11"><sup>11</sup></a><a class="footnote-ref" id="fnref:12" href="#fn:12"><sup>12</sup></a>  and <a href="/facts/Teradata/sarnALYT">Teradata</a>.
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<h2 id="references">References</h2>

<ol>
<li id="fn:1"><p>n-Database Analytics: The Heart of the Predictive Enterprise <a href="http://www.forrester.com/InDatabase+Analytics+The+Heart+Of+The+Predictive+Enterprise/fulltext/-/E-RES48289?docid=48289" target="_blank">http://www.forrester.com/InDatabase+Analytics+The+Heart+Of+The+Predictive+Enterprise/fulltext/-/E-RES48289?docid=48289</a> <a href="#fnref:1" class="footnote-back-ref">↩</a></p></li>
<li id="fn:2"><p>Decision Management Solutions <a href="http://jtonedm.com/2012/03/20/first-look-fuzzy-logix-in-database-analytics/" target="_blank">http://jtonedm.com/2012/03/20/first-look-fuzzy-logix-in-database-analytics/</a> <a href="#fnref:2" class="footnote-back-ref">↩</a></p></li>
<li id="fn:3"><p>"Operational Analytics: Putting Analytics to Work in Operational Systems". Archived from the original on 2012-08-05. Retrieved 2013-04-04. <a href="https://web.archive.org/web/20120805072623/http://decisionmanagementsolutions.com/white-papers/155" target="_blank">https://web.archive.org/web/20120805072623/http://decisionmanagementsolutions.com/white-papers/155</a> <a href="#fnref:3" class="footnote-back-ref">↩</a></p></li>
<li id="fn:4"><p>"Quest Teams with Fuzzy Logix to Deliver a Cost-effective Solution for Predictive Modeling". Archived from the original on 2013-11-30. Retrieved 2013-04-04. <a href="https://web.archive.org/web/20131130162842/http://www.quest.com/news-release/quest-introduces-new-edition-of-toad-for-data-analysts-that-brings-po-092011-815428.aspx" target="_blank">https://web.archive.org/web/20131130162842/http://www.quest.com/news-release/quest-introduces-new-edition-of-toad-for-data-analysts-that-brings-po-092011-815428.aspx</a> <a href="#fnref:4" class="footnote-back-ref">↩</a></p></li>
<li id="fn:5"><p>Aster Data's Data-Analytics Server and Analytic Power of SQL-MapReduce Draws New Partners <a href="http://www.asterdata.com/news/100622-analytics-partners.php" target="_blank">http://www.asterdata.com/news/100622-analytics-partners.php</a> <a href="#fnref:5" class="footnote-back-ref">↩</a></p></li>
<li id="fn:6"><p>Fuzzy Logix and IBM Unveil In-Database Analytics for IBM Informix <a href="http://www.ereleases.com/pr/fuzzy-logix-ibm-unveil-indatabase-analytics-ibm-informix-48315" target="_blank">http://www.ereleases.com/pr/fuzzy-logix-ibm-unveil-indatabase-analytics-ibm-informix-48315</a> <a href="#fnref:6" class="footnote-back-ref">↩</a></p></li>
<li id="fn:7"><p>New Product for In-Database Analytics <a href="http://www.enzeecommunity.com/blogs/partners" target="_blank">http://www.enzeecommunity.com/blogs/partners</a> <a href="#fnref:7" class="footnote-back-ref">↩</a></p></li>
<li id="fn:8"><p>Fuzzy Logix and Netezza Partner <a href="http://www.b-eye-network.com/view/8970" target="_blank">http://www.b-eye-network.com/view/8970</a> <a href="#fnref:8" class="footnote-back-ref">↩</a></p></li>
<li id="fn:9"><p>ParAccel Jumps On Analytics Bandwagon <a href="http://www.informationweek.com/software/information-management/paraccel-jumps-on-analytics-bandwagon/228300326" target="_blank">http://www.informationweek.com/software/information-management/paraccel-jumps-on-analytics-bandwagon/228300326</a> <a href="#fnref:9" class="footnote-back-ref">↩</a></p></li>
<li id="fn:10"><p>Fuzzy Logix Unveils a New Product and a New Partner: DB Lytix(TM) In-Database Analytics for Microsoft
 <a href="http://www.prnewswire.com/news-releases/fuzzy-logix-unveils-a-new-product-and-a-new-partner-db-lytix-in-database-analytics-for-microsoft-sql-server-2008-and-scalability-experts-microsoft-gold-partners-95758324.html" target="_blank">http://www.prnewswire.com/news-releases/fuzzy-logix-unveils-a-new-product-and-a-new-partner-db-lytix-in-database-analytics-for-microsoft-sql-server-2008-and-scalability-experts-microsoft-gold-partners-95758324.html</a> <a href="#fnref:10" class="footnote-back-ref">↩</a></p></li>
<li id="fn:11"><p>Fuzzy Logix Announces Partnership with Sybase for Introducing In-database Analytics on the World’s Leading Column-oriented Analytics Server <a href="http://www.ereleases.com/pr/fuzzy-logix-announces-partnership-sybase-introducing-indatabase-analytics-worlds-leading-columnoriented-analytics-server-23636" target="_blank">http://www.ereleases.com/pr/fuzzy-logix-announces-partnership-sybase-introducing-indatabase-analytics-worlds-leading-columnoriented-analytics-server-23636</a> <a href="#fnref:11" class="footnote-back-ref">↩</a></p></li>
<li id="fn:12"><p>Enabling In-Database Analytics with Sybase IQ <a href="http://www.sybase.ru/dl/files/IQ/Enabling_in-database_advanced_analytics_with_Sybase_IQ.pdf" target="_blank">http://www.sybase.ru/dl/files/IQ/Enabling_in-database_advanced_analytics_with_Sybase_IQ.pdf</a> <a href="#fnref:12" class="footnote-back-ref">↩</a></p></li>
</ol>

Fuzzy Logix open-in-new

Fuzzy Logix