Dylan vs. NoSQL vs. Python vs. Valispace Comparison Chart

NoSQL is a domain-specific programming language used for accessing, managing, and manipulating non-tabular databases. A NoSQL (originally referring to "non-SQL" or "non-relational") database provides a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases. Such databases have existed since the late 1960s, but the name "NoSQL" was only coined in the early 21st century, triggered by the needs of Web 2.0 companies. NoSQL databases are increasingly used in big data and real-time web applications.NoSQL systems are also sometimes called Not only SQL to emphasize that they may support SQL-like query languages or sit alongside SQL databases in polyglot-persistent architectures. Many NoSQL stores compromise consistency (in the sense of the CAP theorem) in favor of availability, partition tolerance, and speed. Barriers to the greater adoption of NoSQL stores include the use of low-level query languages.

It enables Team Collaboration on all important aspects of the Engineering Lifecycle, such as: - Requirements Management - Data-Driven Functional Design - Product Architecture - Detailed Systems Design & Simulation - Automated Verification - Live Documentation It also allows for cross-lifecycle process improvements, such as: - Agile Engineering Planning - Technical Change Management In comparison to siloed Requirement Management Systems or Model Based Systems Engineering expert-tools, its data-driven architecture enables agile hardware development across departments with a digital thread along the engineering lifecycle. Valispace’s proprietary calculation engine propagates changes instantly to users, requirements, architecture, verifications and documentation. Therefore, its introduction into the engineering process reduces costs by significantly shortening development times, as well as by preventing design mistakes which usually lead to expensive rework.