Data is the lifeblood of modern enterprises, whether you��re a retailer, financial service company, or digital advertiser. Across industries, organizations are recognizing the importance of their data for business analytics, machine learning, and AI. Smart businesses are investing in new ways to extract value from their data: to better understand customer needs and behaviors��
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Historically speaking, processing large amounts of structured data has been the domain of relational databases. Databases, consisting of tables that can be joined together or aggregated, have been the staple of data processing and are fundamental to the existence of many companies. And just like databases are almost synonymous with storing and processing data, Structured Query Language (SQL) has��
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At MapD our goal is to build the world��s fastest big data analytics and visualization platform that enables lag-free interactive exploration of multi-billion row datasets. MapD supports standard SQL queries as well as a visualization API that maps OpenGL primitives onto SQL result sets. Although MapD is fast running on x86-64 CPUs, our real advantage stems from our ability to leverage the��
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