Omni vs Hex: the honest comparison

The short answer

Edition v2026.Q3 · pricing and status verified 2026-08-06.

Choose Omni for startups that want Looker-grade governed metrics without Looker's cost or rebuild tax, with conversational access bolted to the same model. Choose Hex for teams with at least one analyst — the Notebook Agent accelerates them, Threads gives everyone else a governed chat surface on the same models.

On the elems table, Omni holds seat #1 of the BI Copilot element and Hex holds #2 — this is the closest call in the category, and the honest answer depends on which trade-off you can live with.

The case for each

1. 1OmniOmni Analytics (Colin Zima, ex-Looker)

   No public price list — sales-quoted annual contracts (verified Aug 2026). AI chat, modeling agent and MCP server included; LLM tokens not separately metered.

   Best for Startups that want Looker-grade governed metrics without Looker's cost or rebuild tax, with conversational access bolted to the same model.

   Watch Zero published pricing means you cannot budget without a sales call, and the entry point is not seed-stage cheap. The modeling agent shortens the semantic-layer build but does not remove it — you are still doing the actual work, just faster. No independent accuracy benchmark for Omni's AI exists as of Aug 2026.

   $120M Series C at $1.5B led by ICONIQ, plus $30M employee tender; 4x YoY revenue growth (Apr 23, 2026) [src] · MCP server exposes the governed semantic model to Claude, ChatGPT and Cursor; agent skills for model building, querying and content management (Aug 2026) [src]

2. 2HexHex Technologies

   Community free (5 projects) · Professional $36/editor/mo · Team $75/editor/mo · Enterprise custom. Per-seat AI credit grants on paid plans; compute add-ons $0.32–$4.06/hr. BYO API key Enterprise only.

   Best for Teams with at least one analyst — the Notebook Agent accelerates them, Threads gives everyone else a governed chat surface on the same models.

   Watch Threads and the semantic-model agent require the $75/editor Team plan; the free and Professional tiers get the notebook agent only. Hex's centre of gravity is still the analyst notebook — element Wh territory — so buying it purely as a business-user chat box overpays. Last confirmed raise is the $70M Series C (May 2025); 2026 round listings on aggregator sites are unverified.

   80.6% accuracy on BI Bench, 3rd of 11 and top-scoring BI product (vendor-run benchmark, published 2026) [src] · Threads launched Oct 1, 2025 — agentic chat for non-technical users, Team and Enterprise plans [src]

Omni vs Hex: side by side

Edition v2026.Q3 · verified 2026-08-06.

What each side won't tell you

Omni: Zero published pricing means you cannot budget without a sales call, and the entry point is not seed-stage cheap. The modeling agent shortens the semantic-layer build but does not remove it — you are still doing the actual work, just faster. No independent accuracy benchmark for Omni's AI exists as of Aug 2026.

Hex: Threads and the semantic-model agent require the $75/editor Team plan; the free and Professional tiers get the notebook agent only. Hex's centre of gravity is still the analyst notebook — element Wh territory — so buying it purely as a business-user chat box overpays. Last confirmed raise is the $70M Series C (May 2025); 2026 round listings on aggregator sites are unverified.

If it's neither

The rest of the top five: Lightdash (dbt-native, no per-seat) · Metabase (free tier, real ai) · ThoughtSpot Spotter (search box for everyone). The complete field — 30 more tools including the graveyard — is on the element page.

This analysis is drawn from the BI Copilot element dossier — the ranked top 5, the comparison matrix, and the complete field of 30 more tools live there, with every source. Data: bi.json (CC BY 4.0).