Oxygen vs. Omni
Oxygen operationalizes analytics with agents + automations. Omni modernizes BI around a semantic model and AI.
Overview
Omni positions itself as an AI analytics platform centered on capturing team knowledge in a semantic model, with integrations like dbt and an emphasis on governed AI experiences. Oxygen is a full-stack Data+AI platform that bundles lakehouse + ETL/orchestration + ontology + agents + automations + apps.
Where Oxygen Wins
End-to-end build + run for agentic procedures
Oxygen explicitly includes automations and agent execution as first-class platform elements, not just analytics conversations.
Broader surface area
Oxygen includes data movement (ETL), orchestration, and an agent-native workspace in the core product definition -- not just the BI layer.
Ontology-first semantic layer
Oxygen Ontology is the data modeling layer for agents, making context and meaning first-class for agentic systems -- powering automations, not just dashboards.
Operational outcomes, not just exploration
Oxygen turns analysis into repeatable, automated procedures and embedded apps -- so insight becomes action.
Where Omni Is a Better Fit
BI-first with strong semantic modeling
You want a BI-first product with a strong semantic modeling experience and an AI layer for exploration and collaboration.
Common Co-existence Pattern
Keep Omni as your BI exploration and semantic modeling surface. Oxygen connects into Omni's semantic layer, syncs your model definitions into its Ontology, and extends those metrics into agentic workflows, automations, and operational apps. Omni explores and models; Oxygen operationalizes and automates.
Ready for analytics that goes beyond exploration? Oxygen turns insights into operational workflows.
Get Started with Oxygen