Omni

Name: Omni
Brand: Omni
Rating: 4.8 (64 reviews)

AI NativeLeader

Omni is an AI analytics platform that helps customers accelerate self-service and embed analytics into their products.

Est 2022|Valuation $1.5B|Raised $215.9M

LinkedIn 22K|Web traffic 35K|FTEs 200|HQ San Francisco, California, US

MarketsData Visualization Self-Service Analytics

01Competitive Landscape

Narrative analysis

The vendor describes a workflow intended to reduce friction in semantic-layer maintenance compared with approaches that require more upfront modeling.
Comparisons with specific competitors are primarily vendor-authored and should be validated through hands-on evaluation and feature-to-feature testing.
For embedded analytics, Omni is presented as an option among several specialized vendors; procurement teams should compare embedding APIs, tenancy models, and performance characteristics across candidates.

Adoption trends (limited public evidence):

Funding announcements and partnership announcements indicate ecosystem activity; these items suggest traction but are not conclusive proof of large-scale enterprise adoption.

- The vendor describes a workflow intended to reduce friction in semantic-layer maintenance compared with approaches that require more upfront modeling. - Comparisons with specific competitors are primarily vendor-authored and should be validated through hands-on evaluation and feature-to-feature testing. - For embedded analytics, Omni is presented as an option among several specialized vendors; procurement teams should compare embedding APIs, tenancy models, and performance characteristics across candidates. Adoption trends (limited public evidence): - Funding announcements and partnership announcements indicate ecosystem activity; these items suggest traction but are not conclusive proof of large-scale enterprise adoption.

	Omni	Looker	Sigma Computing
Starting Price	Not publicly listed (sales-led; third-party estimates available)	Typically enterprise sales-led	Typically sales-led (packaging varies)
Best For	Teams seeking a governed semantic model combined with SQL flexibility and embedded analytics	Organizations with investment in LookML and Google Cloud; centralized semantic layer	Warehouse-native teams preferring spreadsheet-style workflows and rapid self-serve exploration
Key Strength	Support for multiple analysis modes (SQL/spreadsheet/UI/AI) and workflows intended to allow model iteration	Mature semantic modeling and enterprise deployments	Spreadsheet-like paradigm and exploration experience
Key Weakness	Newer vendor with observed learning curve for advanced modeling	Complexity of LookML and potential for data-team bottlenecks	Different approach to AI and modeling compared to some competitors; needs verification in trials