Omni is the AI analytics and embedded AI platform that combines governed metrics, Excel spreadsheets, and advanced customer-facing self-service experiences, built on AWS.
By combining a governed, built in semantic layer with AI analytics and Excel workflows, Omni delivers accurate AI answers, clear semantic explanations, and embedded intelligence across every workflow. This helps teams move faster and deliver intuitive user experiences while maintaining trust, consistency and control. No other business intelligence and analytics platform on AWS delivers the consensus mechanism of a semantic model with such user friendly tools to ask AI questions and get trusted answers at the speed of thought. In Omni, anyone can define datasets and metrics, and data teams can pick up work and share and standardize them across the organization. In Omni, governance and AI data access go hand-in-hand, and the semantic model stays up to date with the latest business context as it's developed. With a Git integration and powerful software development lifecycle features like content validation and version history, developers can move quickly to promote changes to the common semantic model without making errors. In Omni, AI keeps pace with business logic, without relying on the data team to fulfill a backlog of tickets and requests. With Omni, data teams and business users get the best of both worlds: freedom to explore and get AI answers, with governance to assure trustworthy answers.
Highlights
Embedded analytics and AI in Omni enable companies to ship innovative, brand aligned, governable customer facing experiences, including full self service with conversational AI analytics and spreadsheets. Omni's semantic model assures consistency, while deep customization (CSS and markdown) and robust developer workflows (version control, CICD, security) allow rapid iteration and scaling. Beyond simple experiences, Omni also supports AI querying and flexible user self service inside products.
Omni helps RevOps and Finance teams run their functions on live, governed data with AI agents and a familiar spreadsheet experience, no need to learn SQL. Omni is easy to use, with Excel and conversational AI, and assures forecasts, financial models, and exploratory analysis all leverage trusted metrics, which themselves are easy to develop and update in the platform. Teams can model quota attainment, sales velocity, and NDR cohorts in a single source of truth vs. static files.
Omni brings SDLC practices to AI, helping teams manage changes safely without breaking dashboards or metrics or trust in data. With branching, content validation, version control, and Git integration, teams can test and deploy model changes confidently. As the only AWS native BI platform with Git integration, Omni delivers the most governed BI experience, balancing widespread self service AI querying with strong guardrails for consistency and scale.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing offers one pricing option, based on the number of users. Pricing is not fixed on the Marketplace. Instead, you subscribe to this plan or email the Omni team to arrange terms. This means your cost is set through direct contact rather than a published per-unit rate. The user count is the basis for pricing, so your total scales with how many people need access. Reach out to the vendor to get a quote tailored to your organization's size and usage.
Top-of-mind questions for buyers
What counts as one user for billing purposes?
Pricing is based on the number of people who need access to the platform. Each individual user account counts toward your total. Your cost scales with how many team members analyze data, chat with the AI, or build reports. Contact the Omni team to confirm how user counts apply to your organization.
How is my price set if the Marketplace does not show a fixed rate?
There is no published per-user rate on the Marketplace. You subscribe to this plan or email sales@omni.co to arrange terms directly. The Omni team sets your price based on your user count and needs. This means you get a quote tailored to your organization rather than a listed amount.
What capabilities are included with this user-based plan?
The plan covers AI chat analytics, a point-and-click field picker, spreadsheet-style formulas, and raw SQL editing. You also get a semantic modeling layer, branch mode for testing, version control, and API and embedding options. All these features come with your user-based subscription.
www.omni.co
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Customer will pay Omni the non-refundable fees as set forth in the relevant Order Form.
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SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Omni provides real time, hands on support from data experts, helping users while they build and explore, not days later. Support covers complex analysis, data modeling, dashboard help, and broader data stack questions. Customers get direct assistance via Slack or in app from solutions engineers and even product and executive team members, ensuring fast, practical responses to accelerate success.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Built-in semantic model that provides governed metrics and ensures consistency across analytics queries and AI-generated answers
Conversational AI Analytics
Natural language processing capability enabling users to ask AI questions and receive trusted answers without requiring SQL knowledge
Git Integration and Version Control
Git-based integration with branching, content validation, and version history for managing changes to semantic models and analytics content
Excel Workflow Integration
Native Excel spreadsheet compatibility allowing users to perform financial modeling, forecasting, and exploratory analysis within the platform
Software Development Lifecycle Features
CICD pipeline support, content validation, and developer workflows for safely testing and deploying model changes across environments
Centralized Semantic Layer
Universal semantic layer that serves as a single source of truth for business definitions, hierarchies, and security rules, ensuring consistent metrics and KPIs across all tools and users.
Real-time Governance and Monitoring
Integrated Sentinel layer providing proactive, real-time governance with immediate intelligence on potential data breaches, compliance risks, and cost-saving opportunities through live monitoring and isolation.
Multi-source Data Connectivity
Support for 200+ native data connectors enabling connection to multiple data sources once and delivering live, reusable data to BI tools, AI agents, and workspaces.
Policy-driven Access Controls
Policy-driven access control mechanisms with enforcement of security rules to ensure users only access authorized data and maintain data protection across the enterprise.
AI Model Enhancement with Business Context
Provision of rich business context and consistent, human-readable definitions to AI models, enabling more accurate and verifiable answers with auditable foundations for AI operations.
API-First Architecture
Platform designed with API-first approach enabling seamless integration of analytics capabilities within applications
Embedded Analytics
Capability to embed in-context analytics directly within applications for action-oriented insights
AI-Powered Analytics
Analytics engine powered by artificial intelligence for generating insights and data-driven recommendations
Data Integration
Seamless integration of analytics across business systems and applications for unified data analysis
Decision Intelligence
Analytics platform designed to enhance decision-making capabilities through integrated insights and analytics
Dynamic User Flows and Flexible Dashboard Configuration
Reviewed on May 10, 2026
Review provided by G2
What do you like best about the product?
Dynamic user flow and dashboard configuration
What do you dislike about the product?
A little difficult at start to udnerstand the budiling
What problems is the product solving and how is that benefiting you?
For me, this is beneficial because it simplifies tracking key metrics, improves visibility across different data sources, and makes it easier to identify trends and patterns without depending heavily on technical teams. It saves time, supports better decision making, and enables more efficient reporting through centralized dashboards and visual analytics.
Daryl W.
Easy, Actionable Insights That Deepen Our Understanding of Company Performance
Reviewed on Apr 09, 2026
Review provided by G2
What do you like best about the product?
It makes interrogating company data and sorting through it to get actionable insights so easy and simple. It’s broadened my understanding of what our company does and how it has performed, and I’m very impressed.
What do you dislike about the product?
Honestly, I haven’t found anything in there that I don’t like. If I had one suggestion, it would be adding an easier way to save AI conversations and the results from the chatbot.
What problems is the product solving and how is that benefiting you?
It’s helping me understand the core business problems and try to solve them. It basically provides a spotlight on where I need to look, and then I can start addressing those business problems in an actionable way.
Rohit S.
Omni Packs Essential Features with an Intuitive UI and Standout AI Charts
Reviewed on Apr 03, 2026
Review provided by G2
What do you like best about the product?
being a new tool in the market, omni has still managed to capture a lot of essential features. their ui is very easy to understand. it supports various data sources and is very easy to connect to them. the performance on relatively smaller datasets is amazing. i have also found their starting videos and documentation to be very helpful. the blobby ai feature and ai summary charts are very exclusive to them and very interesting
What do you dislike about the product?
when large datasets are imported and the dashboard has many charts, it lags a bit. right now, it does not support multiple dashboards in a single file feature like in tableau. it also does not support a lot of the chart types and we need to create them seperately using code
What problems is the product solving and how is that benefiting you?
omni has a shared model approach making it easier for organizations to work together. by simply promoting the changes, all your peers will be able to see and use the changes you have made.
Elizaveta K.
Fast, Flexible Dashboards That Keep Metrics Consistent
Reviewed on Feb 17, 2026
Review provided by G2
What do you like best about the product?
What I like most about Omni Analytics is that it makes it easy for both analysts and business users to explore data and build dashboards quickly. It supports different workflows (SQL and spreadsheet-like formulas) while keeping metrics consistent, and it stays fast even on more complex dashboards
What do you dislike about the product?
A few things could be improved: some advanced features feel a bit hidden, and the modeling/IDE experience could use stronger IntelliSense plus better organization (e.g., deeper field nesting) to make large workbooks easier to navigate. I’ve also seen occasional rough edges—complex dashboards can be unstable depending on the underlying models, and documentation sometimes lags behind new releases, which can slow down customization.
What problems is the product solving and how is that benefiting you?
Omni Analytics is solving the “multiple sources of truth” problem by centralizing metric definitions in a governed semantic layer, so teams stop debating KPIs and start aligning on the same numbers. It also bridges the gap between technical and non-technical users, analysts can use SQL while business users can work with spreadsheet-like formulas, so more people can self-serve without constant data-team support. As a result, we can answer questions faster, iterate on analyses in one place, and scale reporting more reliably across teams
Marketing and Advertising
Very good BI tool with strong snowflake/dbt integrations
Reviewed on Oct 08, 2025
Review provided by G2
What do you like best about the product?
The integrations with the modern data stack are seamless, making it easy to connect everything I need. The support team at Omni is consistently helpful whenever I reach out. Additionally, I have found Omni SQL to be extremely powerful in handling my data tasks.
What do you dislike about the product?
Occasionally, more complex dashboards would crash. However, I don't think the issue lies entirely with omni; it might also be related to the data models.
What problems is the product solving and how is that benefiting you?
We used omni to visualize our social media marketing data like Google , meta ads. As a company that spends more 10,000 usd on ads per day, omni analytics has helped us understand the effectiveness of each ads, ad deterioration and helped us figure out where we should be spending more money on or less money on.