Omni Analytics: Pricing, Free Demo & Features

Name: Omni Analytics
Rating: 5 (8 reviews)

Last Updated Sep 21, 2026

Overview

Omni Analytics helps data and analytics teams turn scattered business logic into a single, grounded semantic layer. While it's still building feature parity with more established BI tools, its governed context model gives teams accurate and explainable insights. Overall, it suits organizations that need multiple teams working from the same trusted numbers.

Overall Rating

Based on 8 users reviews

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100%

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Starting Price

Custom

Product Snapshot

Omni Analytics Specifications

Data Visualization
Customizable Dashboards
Data Analysis and Reporting
Scheduled Reporting
KPI Monitoring
AI-Powered Insights
Machine Learning and AI Integration
Data Collection and Management
Cloud-based Access
Role-Based Access Controls

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What Is Omni Analytics?

Omni Analytics is an AI analytics platform that helps turn governed business data into actionable insights. Its semantic model captures business logic and context, which gives AI a consistent foundation for answering questions related to data. Teams can define metrics and permissions, while asking questions in natural language to explore results. This reduces the need to hire analysts to develop an understanding.

The software combines AI chat with dashboards, spreadsheets, and point-and-click analysis. It allows teams to personalize how they investigate their data. AI-powered metrics can explain metric changes and generate summaries. As a result, managers can monitor performance without manually viewing reports. This saves them valuable time by automatically highlighting key trends and insights.

What Is Omni Analytics Best For?

This platform is best known for its 'Data Modeling' through which teams can build and refine reusable metrics while analyzing data. This minimizes the need to complete the entire model upfront. Finance, analytics, and data teams can define metrics in the UI, where they can promote useful calculations to shared models and maintain consistent business logic. This helps them reduce duplicate work and rely on common definitions when making decisions.

How Much Does Omni Analytics Cost?

Omni Analytics pricing typically ranges between $18 and $50/user/month based on industry benchmarks for modern, warehouse-native business intelligence platforms that offer semantic modeling, and AI-assisted analytics capabilities.

In addition to the base subscription cost, organizations should keep the following potential hidden costs in mind:

Additional Creator/Editor Seats: $60 to $175/user/month
Implementation And Onboarding: $500 to $3,000
AI-Powered Analytics And Advanced Modeling: $600 to $3,000/year
Enterprise Security And Add-Ons: $1,200 to $6,000/year

Reviewers generally mention how Omni Analytics offers reasonable value for money, particularly for small teams and BI users. However, some note that per-user pricing becomes more expensive at the larger scale, especially when users require access.

Request a custom Omni Analytics cost quote today!

Disclaimer: Pricing references are based on publicly available third-party information and industry benchmarks. Actual costs may vary.

Omni Analytics Integrations

Omni Analytics integrates with:

How Does Omni Analytics Work?

Here’s how you can get started with Omni Analytics after successful onboarding and setup:

Log in to the Omni Analytics workspace and access the available analytics content based on your permissions
Navigate through the workspace to browse existing dashboards, workbooks, and other shared content
Open the relevant dashboards to view charts, tables, KPIs, and other visualizations arranged on a unified canvas
Explore workbook analyses to investigate data further, add fields, adjust queries, and create new visualizations
Organize frequently used dashboards and content by adding relevant items to your favorites for quicker access
Share approved dashboards and analyses with authorized users or deliver results through scheduled reports

To learn more about how its features work, you can watch a free Omni Analytics demo.

Who Is Omni Analytics For?

Omni Analytics caters to businesses across various industries and sectors, such as:

Media and advertising
SaaS
Financial services
Retail

Omni Analytics Use Cases

Based on our analysis of Omni Analytics features and user feedback, we identified some of its real-world use cases.

Digital Media And Publishing Companies Consolidating Ad And Audience Data

Omni Analytics software helps digital publishers and ad-supported media companies consolidate ad server logs, platform spend, audience segments, and conversion data. Analysts define metrics like ROAS and pacing once in the semantic layer. This way, client reporting and internal dashboards always reflect the same numbers. For organizations managing multiple advertiser accounts or subscriber tiers, this is especially useful.

SaaS Companies Aligning Product, GTM, And Finance Around The Same Metrics

Product, go-to-market, and finance teams calculating ARR, NRR, or churn using different methods often arrive at conflicting numbers in board meetings. Omni Analytics tackles this by letting them define these metrics in a governed semantic model. As a result, each function can query the same underlying logic through dashboards, spreadsheets, or AI chat. This is especially valuable during rapid growth phases, when a company moves from a single BI tool to supporting thousands of internal users. Reviewers particularly appreciate its capability to support different data sources.

Financial Services Firms Embedding Compliant, Client-Facing Analytics

Lenders, fintech, and wealth platforms can use Omni Analytics to give clients or partners direct access to portfolio, delinquency, or approval-rate data. The platform’s row-level security and tenant isolation controls let firms embed dashboards into their own client portals while ensuring that each customer only sees their own data. This approach fits firms that would otherwise spend their engineering time building bespoke reports for each individual client or partner. Reviewers mention how its white-labeled, client-facing dashboards work well for these setups.

Retail And Consumer Brands Unifying Store, Inventory, And Online Data

This platform can also prove useful for retail and consumer brands that are operating across physical stores, e-commerce, and third-party marketplaces. They can bring POS, inventory, CRM, and returns data into a single model. Also, factors like gross margin, sell-through, and inventory turnover are defined once and reused across dashboards and spreadsheets. This helps merchandising and FP&A teams work from the same numbers. This helps multi-brand or multi-banner retailers.

Is Omni Analytics Right For You?

Omni Analytics is a suitable fit for data and analytics teams that need consistent metrics and reliable performance as their organization grows. This is made possible through its self-service analytics, AI-powered workflows, and reusable data models.

For teams handling large volumes of data, the platform is ISO 27001- and ISO 27701-certified and completes annual SOC 2 Type 2 audits. It is also GDPR and HIPAA-compliant. In addition to that, the Business Intelligence space is placing greater emphasis on data quality and AI governance in 2026. Omni Analytics keeps up with its governed semantic layer, where agents get consistent, well-defined context to work with.

They have provided analytical solutions to companies like Game Lounge, Perplexity, BuzzFeed, and BambooHR

Still unsure about Omni Analytics? Connect with us at (661) 384-7070 for further guidance!

Omni Analytics Features

Context Modeling

Data teams can use this software to turn company knowledge into structured, governed context that AI agents can use for analytics. The Modeling Agent can create views, define joins, optimize topics, and generate reviewable YAML. Meanwhile, Topics establish how datasets, metrics, and relationships should be interpreted. In addition, the AI Hub helps teams monitor and improve agent performance.

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Business Intelligence

This feature allows users to analyze, explore, and share governed data through the interface that suits them best. They can ask questions, build interactive dashboards, and analyze live data with Excel-style formulas. It also lets them write custom SQL, while Dashboard and Workbook Agents automatically generate queries, analyses, and visualizations.

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Data Input

Teams can bring external data into Omni Analytics by uploading CSVs or entering values directly. This data can then be joined with warehouse data for analysis using calculations, AI, SQL and point-and-click tools. Users can enrich and edit data, keep it scoped to a workbook, or promote useful metrics and logic to the shared models for reuse. They can also write new data back to the cloud database and create alerts.

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AI Analytics

Omni Analytics lets users analyze governed data with AI across Chat, Dashboards, Workbooks, and external tools. They can create dashboards through the Dashboard Builder to create them from prompts, use Skills to automate reusable workflows, and Routines to run recurring analyses on a schedule.

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Pros And Cons of Omni Analytics

A quick look at Omni Analytics's strengths and weaknesses to
help you decide if it's the right fit

Pros

Simplifies the dashboard building process for analysts
Delivers accurate AI chat responses for domain-specific questions
Cuts time-to-insight down so that teams can act on data quick
Supports SQL and spreadsheet formats for teams who prefer flexibility
Provides strong SQL capabilities to handle complex data tasks

Cons

Schedules and delivery notifications need improvements
Needs advanced modeling and IDE features
Field organizations in workbooks could be more flexible

Omni Analytics Reviews

Insights from real users on Omni Analytics’s features,
performance, and overall experience.

Total 8 reviews

All reviews are from verified customers

Rating Distribution

Stars

100%

Stars

Share your experience

Jay

Not Specified, 51-100 employees

More than a year

5.0

March 2024

“serving data personas across the organization”

Pros

The SQL editor for custom measures, along with duckDB smart cache, is a standout feature. The platform has a well structured approach to the semantic layer and source control, and it integrates seamlessly with most modern databases. I love the support as well.

Cons

It is still quite a new tool so it doesn't yet match the feature set of some of the more established tools. However the speed at which new features are being released is very promising. And in the end we decided to maintain stability with our current tech stack, but everyone involved in the proof of concept (POC) agreed that Omni is a great tool, and it's one we may revisit in the future.

Rating Distribution

Ease of use

Value for money

Customer Support

Functionality

Kabalan

Not Specified, 11-50 employees

More than a year

5.0

February 2024

“A fantastic user experience with the strength of a semantic layer”

Pros

Getting started with Omni is soooo easy, regardless of our SQL experience. The dashboards look great, which plays a significant role in user adoption. Omni achieves a perfect balance between the rigor of a semantic layer and the flexibility of non Sql BI tools. The support is outstanding as well.

Cons

The semantic layer is still in its early stages and it takes a bit of time to adjust especially for those who are accustomed to Looker's semantic layer. That being said, I believe Omni is rapidly improving in this area.

Rating Distribution

Ease of use

Value for money

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Functionality

Andy K

Not Specified, 11-50 employees

More than a year

5.0

February 2024

“The BI tool of tomorrow”

Pros

Most businesses need a SQL based tool for indepth analysis and benchmarking and Omni has created a world class solution for this purpose. While SQL knowledge certainly helps, Omni has made it possible for non technical users to create beautiful dashboards and charts without writing queries. I appreciate the visualization flexibility and the feature that allows scheduling of dashboard deliveries, which makes it easy to share data throughout the organization. The support and sales teams are excellent and I'm excited to continue using this tool for years.

Cons

Like any SQL-based BI tool, it requires a technical mindset to fully grasp initially but once it clicks, it becomes very efficient and easy to use.

Rating Distribution

Ease of use

Value for money

Customer Support

Functionality

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Frequently Asked Questions

Quick answers to common questions to help you better understand the product, features, and services.

Does Omni Analytics offer an API?

Yes, Omni Analytics offers an API.

Does Omni Analytics have a mobile app?

No, Omni Analytics does not offer a mobile app.

What language does Omni Analytics support?

The platform supports multiple languages like English, German, Spanish, French Italian, and Chinese.

What other apps does Omni Analytics integrate with?

Omni Analytics integrates with third-party software like Notion, Slack, Databricks, and Salesforce.

What types of pricing plans does Omni Analytics offer?

Omni Analytics pricing typically falls between $18 and $50/user/month based on industry benchmarks. Request an Omni Analytics price quote today!

Who are the typical users of Omni Analytics?

It is typically used by analysts across media and advertising, SaaS, financial services, and retail.

What level of support does Omni Analytics offer?

Omni Analytics offers hands-on support and helps organizations through Slack channel, community, and docs.