Opteryx Documentation
Fast, lightweight SQL analytics for your data. Run queries locally or in the cloud.
Learning paths
An ordered route through the docs for the job you are doing, ending in a hands-on exercise
ANALYST
13 steps · About 2 hours
Answer questions with SQL in Studio
You write queries and want answers. Someone else worries about tables, tokens and pipelines.
DATA ENGINEER
17 steps · About 3 hours
Build tables that maintain themselves
You own the tables other people query: loading them, shaping them, keeping them fresh and controlling who sees what.
DEVELOPER
13 steps · About 2.5 hours
Call Opteryx from your own code
You are wiring Opteryx into an application, a notebook or a service, and you need auth, a client and a result you can work with.
Getting Started
Set up Opteryx and learn the fundamentals in just a few minutes
Core Concepts
Understand the key ideas behind Opteryx
Reference
API and language documentation
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