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Comparison · Analytics

Omni vs Hex

Side-by-side trajectory, velocity, and editorial themes.

O
Omni
ANALYTICS
5.0

Omni is welding an agentic AI layer onto its BI stack, one weekly release at a time

◆ Current state

Omni ships a real weekly changelog, and the last month is dominated by AI: visualization annotations reaching general availability, an AI Hub and Modeling Agent skills, AI file uploads, and external AI context via Notion. Underneath, the core BI product keeps maturing — calculation pushdown, compute routing, approximate aggregates, dashboard-editor and embedding controls, and a widening API surface.

◆ Where it's heading

Two threads run in parallel: an AI/agentic layer moving from preview to GA with access-grant governance, and steady modeling, performance, and embedding work beneath it. Omni is positioning as an embeddable, AI-native BI platform rather than a static dashboard tool, with governance and APIs treated as first-class.

◆ Prediction

Expect the AI features that just reached GA — annotations, AI Hub, Modeling Agent — to gain deeper agentic actions and more external-context integrations, alongside continued weekly modeling and embedding improvements.

H
Hex
ANALYTICS
5.0

Hex is remaking its notebook into an agent that both uses and plugs into MCP

◆ Current state

Hex is converting its analytics notebook into an AI agent platform. It now runs as an MCP client, is invocable from Codex, and ships generative data apps built from prompts, while keeping its model roster current with Kimi K2.7 and Fable 5 and giving admins default-model and branding controls. Integration and governance work — a Figma connector, AWS IAM-role support, signed embedding — rounds out the core.

◆ Where it's heading

The arc points at Hex as connective agent infrastructure: consuming external context and tools via MCP, distributing itself into other agent surfaces like Codex, and letting analysts assemble apps and dashboards from prompts. Expect the agent, rather than the notebook grid, to become the primary interface, with model choice and governance layered on top.

◆ Prediction

Likely next steps deepen the agent's tool-use over MCP connections and push generative apps further toward production embedding and governance controls.

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