BRIM

Brim Desktop

Brim is packaged as a desktop app, built with Electron just like Slack. Once installed, you can drag your data in or use the CLI tools to load data into a Zed lake. The Zed language, embedded in Brim, has operators to explore the shape of your data and develop low-code "shapers" to transform messy data into clean models.

Zed Language

Brim provides a rich query language that allows you to easily perform simple, intuitive keyword searches while running rich analytics with sophisticated filters and pipelines. Zed is available both in the Brim search bar as well as in the Zed CLI tools.

The ZNG Data Format

Does the world really need another data format? Yes indeed! Brim stores all its data in the new data format ZNG. ZNG is richly typed and embeds its type schemas in the data stream. It's inspired by Avro, but without the hassle of out-of-band schema definitions and schema registries.

Built on Go

The Brim backend is built from the ground up using Go, the system language that powers massive infrastructure at the world's largest Internet sites. In fact, when Brim runs on your desktop, there's a miniature Zed server running in the background.

Zed and Python

Your data is everything. If you're running machine-learning experiments or just exploring the schemas in your pipeline, Python is your go-to environment. But when you spend all your time futzing with JSON, waiting for it to load, or cramming messy data sets into a relational database, you realize that you're not getting stuff done. Zed turns this all around and makes managing data easy. With Zed, you can spend your time doing real work instead of futzing with your eclectic data.

Security Origins

Brim was originally built as a security platform but we hit a wall trying to proficiently support both search and analytics equally well for eclectic security data. After poring over all the existing tech stacks and data formats, we realized there must be a better way and stumbled upon the concept of super-structured data. Brim is still a great solution for security use cases, but we've been busy generalizing the system to handle a broad range of thorny data engineering use cases.