Node.js vs. ThreadDB vs. dbForge Query Builder for SQL Server vs. restify Comparison Chart

ThreadDB is a multi-party database built on IPFS and Libp2p that provides an alternative architecture for data on the web. ThreadDB aims to help power a new generation of web technologies by combining a novel use of event sourcing, Interplanetary Linked Data (IPLD), and access control to provide a distributed, scalable, and flexible database solution for decentralized applications. There are two implementations of ThreadDB, the first is written in Go. The second implementation is written in JavaScript (Typescript, really). This implementation has some optimizations to make it more ideal when writing web applications. The JavaScript implementation is currently a Client of the Go implementation. You can run it against your own go-threads instance or connect it to the Textile Hub to use one of ours. In general, when building apps that use threads in a remote context, like the browser, it's best to push the networking later to remote services whenever possible.

A Node.js web service framework optimized for building semantically correct RESTful web services ready for production use at scale. restify optimizes for introspection and performance and is used in some of the largest Node.js deployments on Earth. Running at scale requires tracing problems back to their origin by separating noise from the signal. restify is built from the ground up with post-mortem debugging in mind. Staying true to the spec is one of the foremost goals of the project. You will see references to RFCs littered throughout GitHub issues and the codebase. restify is used by some of the industry's most respected companies to power some of the largest deployments of Node.js on planet Earth—the future of Node.js REST development. Setting up a server is quick and easy. Like many other Node. js-based REST frameworks, restify leverages a Sinatra-style syntax for defining routes and the function handlers that service those routes.