JavaScript vs. CUDA vs. Scilab vs. TaffyDB Comparison Chart

CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs. In GPU-accelerated applications, the sequential part of the workload runs on the CPU – which is optimized for single-threaded performance – while the compute intensive portion of the application runs on thousands of GPU cores in parallel. When using CUDA, developers program in popular languages such as C, C++, Fortran, Python and MATLAB and express parallelism through extensions in the form of a few basic keywords. The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime.

​TaffyDB is an open source JavaScript library that brings powerful database functionality into your JavaScript applications. It offers a small file size with extremely fast queries and a powerful JavaScript-centric data selection engine. TaffyDB includes database-inspired features such as count, update, and insert, and provides robust cross-browser support. It is easily extended with your own functions and is compatible with any DOM library, as well as server-side JavaScript. Creating a database is straightforward, you can create a new empty database, a database with a single object, an array, or a JSON string. Once you have a database, you can run queries against it by calling the root function and building filter objects. TaffyDB allows you to filter using the database name and object comparison, access data easily, and modify data on the fly. You can also use functions to give you full control over the results of your query.