CVXOPT vs. Convex vs. Oracle SQL Developer vs. Solver SDK Comparison Chart

Convex is an open source, reactive backend platform that enables developers to build full-stack applications entirely in TypeScript. It offers a document-relational database where queries and mutations are written in TypeScript, ensuring end-to-end type safety and seamless integration with frontend code. Convex's libraries maintain real-time synchronization between the frontend, backend, and database state without the need for manual state management, cache invalidation, or WebSockets. It includes built-in support for cloud functions, scheduling, authentication, file storage, and a variety of components that can be added with a simple npm i command. Developers can define their entire backend, including database schemas, queries, and APIs, in code, which is typechecked and autocompleted, and can be generated by AI with high accuracy. Convex's architecture ensures that all transactions are serializable, providing strong consistency guarantees and eliminating race conditions.

Use optimization and simulation models in your desktop, Web or mobile application. Use the same high-level objects (like Problem, Solver, Variable and Function), collections, properties and methods across different programming languages. The same object-oriented API is exposed "over the wire" through Web Services WS-* standards to remote clients in PHP, JavaScript, C# and other languages. Procedural languages can use conventional calls that correspond naturally to the properties and methods of the Object-Oriented API. Linear and quadratic programming, mixed-integer programming, smooth nonlinear optimization, global optimization, and non-smooth evolutionary and tabu search are all included. The world's best optimizers, from Gurobi™, XPRESS™ and MOSEK™ for linear, quadratic and conic models to KNITRO™, SQP and GRG methods for nonlinear models "plug into" Solver SDK. Easily create a sparse DoubleMatrix object with 1 million rows and columns.