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Comparison

Oxygen vs. Hex

Oxygen is the agent-native data platform. Hex is a collaborative analytics notebook + app publishing workflow.

Overview

Hex is positioned as a collaborative workspace for exploratory analytics/data science using SQL + Python + no-code, with sharing/publishing of projects and apps. Oxygen is built as a full-stack platform where agents and humans collaborate to build semantic layers, workflows, automations, and apps -- anchored by an ontology and integrated data systems.

Where Oxygen Wins

Operational automation is native

Oxygen puts automations for complex procedures front-and-center as a core surface -- not just notebook sharing.

Ontology-first agent grounding

Oxygen frames ontology as the unifying model for agentic context and accurate reasoning across every workflow.

Full-stack cohesion

Lakehouse + ETL/orchestration + semantic modeling + agents + automations + apps -- all in one system, not just a notebook tool.

Agent-native creation experience

Answer Engine + Build Engine + Data Factory let agents and humans co-create production-grade artifacts -- not just exploratory notebooks.

Where Hex Is a Better Fit

Notebook-first exploration

You mainly need a great notebook experience for analyst/data scientist workflows with easy sharing and publishing to stakeholders.

Exploratory analysis focus

Your organization's center of gravity is exploratory analysis, not operational agentic workflows.

Common Co-existence Pattern

Use Hex for ad-hoc exploration and collaborative notebook workflows. Oxygen connects to the same data sources, productionizes the results into a governed ontology, and turns exploratory insights into repeatable agent workflows, automations, and operational apps. Hex explores; Oxygen operationalizes.

Move beyond notebooks. Oxygen turns exploration into production-grade agentic workflows.

Get Started with Oxygen