This tutorial will guide you through querying the Quantivly Data Layer using SQL. Whether you’re new to SQL or already comfortable with databases, you’ll learn how to explore and unlock insights from your data.
What you'll learn:
Run powerful queries: Explore ready-to-use queries to evaluate key metrics.
Apply concepts to real-world data: Break down complex SQL into simple, practical steps using examples from the Quantivly data layer.
Level up your data skills: Learn how to retrieve, analyze, and interpret data effectively for decision-making.
Let's get started and unlock the full potential of your data with Quantivly!
The Quantivly SQL Engine
At the core of Quantivly is a highly optimized PostgreSQL database that contains the full Quantivly ontology. The best part? 👉 You have full read-only access, so you can:
Run your own queries at any time
Power dashboards, reports, or even your custom command center
In the next sections, we'll walk you through the basics of running your first queries—whether inside the Quantivly Hub, in third-party tools, or directly from Python.
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