InterSystems Caché vs. LevelDB vs. Python vs. Toolpad Core Comparison Chart

LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values. Keys and values are arbitrary byte arrays. Data is stored sorted by key. Callers can provide a custom comparison function to override the sort order. Multiple changes can be made in one atomic batch. Users can create a transient snapshot to get a consistent view of data. Forward and backward iteration is supported over the data. Data is automatically compressed using the Snappy compression library. External activity (file system operations etc.) is relayed through a virtual interface so users can customize the operating system interactions. We use a database with a million entries. Each entry has a 16 byte key, and a 100 byte value. Values used by the benchmark compress to about half their original size. We list the performance of reading sequentially in both the forward and reverse direction, and also the performance of a random lookup.

Toolpad Core is a self-hosted, low‑code internal tool builder tailored for full-stack and back-end developers, empowering them to craft admin interfaces, dashboards, and CRUD apps using drag‑and‑drop visuals while retaining full code control. Built on MUI's robust React component ecosystem, integrating MUI Core and X libraries, it offers a Postman‑like query builder for REST APIs, the ability to import custom React components, and smooth integration with Node.js backends, eliminating the need for boilerplate API wiring. Toolpad operates entirely locally, storing configuration in version-control–friendly files and giving developers the freedom to extend from low‑code prototypes to production‑grade features using JavaScript and TypeScript. With deep alignment to React, TypeScript, Next.js, and local IDE workflows, Toolpad bridges the gap between rapid UI assembly and maintainable, production-ready development.