Omni

Omni

Omni is an AI-first analytics platform that turns governed data into a semantic layer for trusted, self-serve AI analytics—enabling chat-based queries, automated insights, dashboards, spreadsheets, and embedded analytics for data teams and business users.

Omni is business intelligence software teams evaluate for business intelligence. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Free API 70/100
#172 in Business Intelligence (172 tools)
Added 2 months ago
Data reviewed Jul 16, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: Business Intelligence

What it does

Business Intelligence software for decision-makers comparing workflow fit and alternatives.

Best fit

Business Intelligence

Pricing snapshot

Free

Next step

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Omni

Omni is an AI analytics platform that layers a governed semantic model over live data so teams can ask questions in natural language, get trustworthy answers, and automate insight delivery. It combines conversational AI, automated metric diagnostics and summaries, and familiar analytics interfaces (dashboards, spreadsheets, SQL) to let data teams enable reliable self-service while giving product and business teams instant access to answers. Omni emphasizes safety and control—using a semantic layer, permissions, branch mode, and version control—while offering embedding, APIs, and an MCP server for product integration.

Omni is an AI-first analytics platform that turns governed data into a semantic layer for trusted, self-serve AI analytics—enabling chat-based queries, automated insights, dashboards, spreadsheets, and embedded analytics for data teams and business users.

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Key Features

AI Chat

Ask questions conversationally ("Chat like you’d ask a teammate") with follow-up context carried over between queries.

Refine & Summarize

Filter, add fields, calculate metrics, and request AI-written summaries and diagnoses of metric changes to inform decisions.

Workbooks & Analytics UI

Start a workbook and use the full analytics UI to explore data, build reports, and iterate on analysis.

Dashboards & Visualizations

Traditional dashboards with custom visualizations, drill-downs, filters, and mobile layout controls for rendering on different devices.

Spreadsheets

Spreadsheet UI with familiar formulas, forecasting, and modeling on top of live, governed data.

SQL IDE

Raw SQL in an IDE with intelligent autocomplete for analysts who prefer direct querying.

Semantic Layer & Modeling

A central semantic model captures core logic and context so AI returns predictable, reliable results and improves with contributed domain knowledge.

Built-in Modeling Agent & Skills

An agent that helps build metrics, add AI context, and incorporate documentation; pre-packaged agent behaviors (Skills) are available in the chat interface.

Embedding & White-labeling

White-label Omni into products with SSO embedding, APIs, and the MCP server for integration into customer workflows.

APIs, MCP Server & CLI

Access and manage Omni programmatically via APIs, an MCP server for querying, and a CLI to administer an Omni instance.

Security & Governance

Controls to prevent data leakage, enforce permissions, branch mode for safe AI context tuning, and Git/version control for changes.

Pricing

Free Tier Available

Free trial available ("Try for Free" / "Free Trial" mentioned on site)

Use Cases

Enable data team self-serve

Reduce ad-hoc requests by letting users ask AI-powered, governed questions and free up data teams for higher-value work.

Accelerate business decision-making

Business teams get instant answers via AI chat and scheduled AI-written summaries to inform decisions faster.

Ship AI analytics inside products

Product teams can embed Omni (SSO, APIs, MCP server) to deliver analytics and AI capabilities without derailing core product work.

Model and govern metrics

Capture organizational knowledge in a semantic model so metrics are consistent and AI-driven analysis is reliable.

Integrations

Snowflake

Connect Snowflake as a data source for querying and AI analysis.

Google BigQuery

Use BigQuery as a connected warehouse for live analysis.

Databricks

Integrate Databricks for data access and analytics.

dbt

Integrate dbt for modelling and lineage as part of the semantic model workflow.

MCP Server

Omni's MCP server enables querying the semantic layer from other AI platforms and product embeds.

Git

Version control integration for managing changes to models and configuration.

Amazon Redshift

Redshift as a supported data warehouse connection.

Postgres

Connect Postgres as a data source (including features like AI calcs on Postgres).

Clickhouse, Trino, MySQL, MotherDuck, Microsoft SQL Server

Additional supported data sources for live, governed analytics.

Claude connector & ChatGPT app

Connectors and apps to access Omni's semantic layer from external AI platforms.

Benefits

Faster, trustworthy insights by constraining AI with a governed semantic layer
Reduced pressure on data teams through reliable self-serve analytics for business users
Safe rollout and scaling of AI with permissions, branch mode, and Git/version control
Multiple interfaces (chat, dashboards, spreadsheets, SQL) so teams can use familiar workflows
Embedding and APIs to bring AI analytics into existing products and workflows

Limitations

No verified limitations are available.

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Step 1: Start a Free Trial or schedule a 1:1 demo via the site
  2. 2 Step 2: Connect your data warehouse or warehouse-like system (examples listed: Snowflake, BigQuery, Databricks, Redshift, Postgres, etc.)
  3. 3 Step 3: Model your data in Omni’s semantic layer (use the built-in Modeling Agent and Skills) and begin asking questions, building workbooks, or embedding analytics

Support

Demo

Schedule a 1:1 demo via the website ("Schedule a 1:1 Demo").

Free trial / onboarding

Start a free trial from the site to try Omni with your data.

Documentation

Documentation, user guides, changelog, and engineering demos are referenced on the site (links listed in the footer).

Customer Support

Customer support and case studies are available via the site's Customer Support and Case Studies sections.

API

Available: Yes

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