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Description

A Post-Relational Database, such as Matisse, seamlessly combines the best features of both object-oriented programming and traditional relational databases, allowing for direct mapping of .NET objects into the database while also utilizing a standard query language (SQL) alongside robust enterprise scalability typically associated with relational systems. Matisse Software has innovated the SQL Standard, which had been limited for three decades to simply querying and managing relational tables, transforming it into a dynamic language capable of interacting with a hierarchy of classes. The rise of object-oriented development has underscored the necessity for a Database Management System (DBMS) that not only supports native object and XML formats but also retains the advantages provided by relational databases, including SQL compatibility, scalability, and adherence to standards. According to the Hurwitz Group, Matisse is poised to deliver significant advantages for various organizations, as it can lead to quicker time-to-market through expedited database design processes and reduced total cost of ownership (TCO) in the long run due to decreased expenses associated with database maintenance and performance optimization. In essence, Matisse represents a forward-thinking solution tailored to meet the evolving demands of modern software development.

Description

Noodle Enterprise AI® effectively addresses risks within your digital supply chain, allowing you to eliminate unseen waste and enhance profitability. Even the most sophisticated supply chain systems face challenges when it comes to managing unexpected disruptions, which is precisely where Noodle.ai steps in. Our software anticipates financial risks associated with near-term execution and suggests proactive measures that enhance profits by minimizing waste. Through advanced AI engines, we identify intricate patterns within your data, forecast probabilistic outcomes, and present the Value-at-Risk (VAR) related to your base plan's near-term execution. This clarity equips planners and operators with a comprehensive understanding of their financial stakes. By utilizing prioritized AI-driven recommendations, organizations can effectively mitigate previously unnoticed financial risks. Additionally, the VAR dashboard illustrates the cumulative financial effects of all decisions, offering executives a clear perspective on the waste that has been successfully addressed. This comprehensive approach not only streamlines operations but also empowers decision-makers to act more strategically.