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.
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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
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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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Claim this listing for $29Key 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 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
Limitations
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Frequently Asked Questions
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Getting Started
- 1 Step 1: Start a Free Trial or schedule a 1:1 demo via the site
- 2 Step 2: Connect your data warehouse or warehouse-like system (examples listed: Snowflake, BigQuery, Databricks, Redshift, Postgres, etc.)
- 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
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