Oxygen vs. Snowflake
Oxygen is the agent-native data platform. Snowflake is the AI data cloud. If you want agents to build and operate end-to-end analytics workflows, choose Oxygen.
Overview
Snowflake is a managed cloud data platform built around a governed, centralized environment for storing and processing data and running analytics/AI workloads. Oxygen is designed as a full-stack agentic analytics system: agent-native workspace + lakehouse + ETL/orchestration + ontology/semantic modeling + agents/automations + apps -- so teams can go from question to artifact to workflow to app in one place.
Where Oxygen Wins
Agentic "build loop," not just querying
Oxygen explicitly productizes Answer Engine + Build Engine + Data Factory so agents and humans can co-create artifacts -- models, workflows, apps -- not just run queries.
Semantic layer designed for agents
Oxygen Ontology is the data modeling layer for agents, making context and meaning first-class for agentic systems.
Automations + apps are core, not add-ons
Oxygen includes agents, automations, and apps as platform primitives for operational workflows -- not afterthoughts bolted onto a warehouse.
Full-stack cohesion
Lakehouse + ETL/orchestration + semantic modeling + agents + automations + apps -- all in one platform. No stitching together separate tools.
Operational outcomes, not just analytics
Oxygen turns analysis into repeatable, automated procedures and embedded apps -- so insight becomes action, not just a dashboard.
Where Snowflake Is a Better Fit
Enterprise data backbone
You're already standardized on Snowflake as the enterprise data backbone and want to keep workloads inside Snowflake's environment.
Snowflake-native GenAI services
You want Snowflake-native GenAI services (Cortex) and governance within Snowflake's ecosystem.
Common Co-existence Pattern
Keep Snowflake as your governed data warehouse. Oxygen connects directly to Snowflake as a data source, builds the semantic/ontology layer on top, and runs agentic workflows, automations, and apps that operational teams actually use. Snowflake stores and governs your data; Oxygen operationalizes it.
If your bottleneck is "we can query data but can't operationalize intelligence," Oxygen is built for that.
Get Started with Oxygen