Apache Groovy vs. Crystal vs. JavaScript vs. TaffyDB Comparison Chart

Crystal’s syntax is heavily inspired by Ruby’s, so it feels natural to read and easy to write, and has the added benefit of a lower learning curve for experienced Ruby devs. Crystal is statically type-checked, so any type errors will be caught early by the compiler rather than fail on runtime. Moreover, and to keep the language clean, Crystal has built-in type inference, so most type annotations are unneeded. All types are non-nilable in Crystal, and available variables are represented as a union between the type and nil. As a consequence, the compiler will automatically check for null references in compile time. Crystal’s answer to metaprogramming is a powerful macro system, which ranges from basic templating and AST inspection to types inspection and running arbitrary external programs.

​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.