Sold by: Omni Analytics
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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.
4.8
Overview
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.
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Dimension | Description | Cost/12 months |
|---|---|---|
Contact Us | Subscribe to this plan or email sales@omni.co to get in contact with the Omni team | $0.001 |
Vendor refund policy
Customer will pay Omni the non-refundable fees as set forth in the relevant Order Form.
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Request a private offer to receive a custom quote.
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Delivery details
Software as a Service (SaaS)
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.
Resources
Vendor resources
Support
Vendor support
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.
Updated weekly
By Omni Analytics
By MicroStrategy, Inc.
Top
25
In Data Governance, Business Intelligence & Advanced Analytics
Top
50
In Financial Services, Business Intelligence & Advanced Analytics
Top
10
In Analytic Platforms, Data Analytics, Business Intelligence & Advanced Analytics
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Semantic Layer Architecture
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
Version Control and Git Integration
Git integration with branching, content validation, and version history features for managing changes to semantic models and analytics content
Embedded Self-Service Analytics
Self-service analytics capabilities including conversational AI, spreadsheet workflows, and customizable user interfaces with CSS and markdown support
Governance and Access Control
Governed data access mechanisms that maintain consistency and trustworthiness while enabling widespread self-service exploration and AI querying
Universal Semantic Layer
Centralized repository for business definitions, hierarchies, and security rules that ensures consistent metrics and KPIs across all tools and users.
Native Data Connectors
Support for 200+ native data connectors enabling live connection to multiple data sources and delivery of reusable data across BI tools, AI agents, and workspaces.
Real-time Governance and Monitoring
Integrated Sentinel layer providing proactive, real-time monitoring for data breaches, compliance risks, and cost-saving opportunities with immediate intelligence and alerts.
Policy-Driven Access Controls
Protection of enterprise data through policy-driven access controls, live monitoring, and isolation mechanisms to ensure users only access authorized data.
AI Agent Integration
Support for enterprise AI agents that access governed, trusted metrics across systems to deliver accurate business-aware answers and enable confident decision-making at scale.
API-First Architecture
Platform designed with API-first approach enabling seamless integration of analytics capabilities within applications
Embedded Analytics Capability
Support for embedding analytics directly within applications to provide in-context insights
AI-Powered Analytics Engine
Artificial intelligence-driven analytics functionality for generating insights and decision intelligence
Custom Data Integration
Ability to integrate analytics across diverse data sources within business applications
Decision Intelligence
Analytics platform designed to enhance decision-making through action-oriented insights
Standard contract
No
No
Customer reviews
reviewer2873184
Unified metrics have reduced confusion and now empower teams to explore data and decide faster
Reviewed on Jul 18, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for Omni is that it makes it easy for both an analyst and business users to explore data and build dashboards quickly. It supports different workflows like SQL and spreadsheet-like formulas while keeping metrics consistent and it stays fast even on more complex dashboards.
How has it helped my organization?
Omni helped my team solve the multiple sources of truth problem by centralizing metric definitions in a governed semantic layer, so we 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 analysis in one place, and scale reporting more reliably across teams.
Omni has positively impacted our organization because it helps us answer questions faster, iterate on analysis in one place, and scale reporting more reliably across teams. This tool has also been very 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 also saves time, supports better decision-making, and enables more efficient reporting through centralized dashboards and visual analytics.
I can give you a specific example of how much time my team has saved since using Omni: it has greatly improved our decision-making from 40 to 68 percent. We have also been able to save time ranging from 60 to 70 percent.
What is most valuable?
In my experience, the best features Omni offers are dashboards, curated data sets, connected webhooks, and also shareable, automatic data models, which promote data discoveries to everyone. Permissions are great, intelligent sketch, and secure data connections stand out for me.
Curated data sets and connected webhooks have helped my team by allowing Omni to curate data sets for different teams in the organization. It features predefined joint parts, easy-to-read fields, and added descriptions, which make it easy for everyone to ask questions.
What needs improvement?
A few things could be improved about Omni. Some advanced features feel a bit hidden and the modeling IDE experience could use stronger IntelliSense plus better organization with deeper field nesting to make large webhooks easier to navigate.
I can tell you more about how the advanced features are hidden. For instance, I have 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.
For how long have I used the solution?
I have been using Omni for about six years.
What do I think about the stability of the solution?
Omni is very stable.
What do I think about the scalability of the solution?
Its scalability is very good because Omni has been able to handle my organization's growth perfectly without any issues.
How are customer service and support?
The customer support is excellent. One of the reasons why we switched from Sigma to Omni is because of Omni's customer support team, which is very proactive and responsive. They have been very helpful and solution-oriented.
Which solution did I use previously and why did I switch?
I previously used Sigma as a different solution.
I switched from Sigma to Omni because Omni is much easier to use, has a very user-friendly interface that is very easy to customize, and is also very easy to navigate for new users, hence bridging the gap between non-technical and technical users. It is also very transparent on price, is very cost-efficient, and the support has always been top-notch.
How was the initial setup?
It was pretty easy to deploy Omni in my environment.
What about the implementation team?
I found the configuration process to be smooth.
What was our ROI?
I have seen a return on investment with Omni; it has solved three big problems for us: slow time for development and bug fixes, inconsistent metrics that made it hard for customers to trust their data, and limited ability for customers to see and trust underlying data. Now we can ship new analytics quickly and make data-driven decisions. Our customers trust and explore their data on their own, and our team can focus on better serving our customers instead of answering ad hoc data requests.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing is that Omni is very transparent in price and very cost-efficient.
Which other solutions did I evaluate?
Before choosing Omni, I evaluated Looker and Qlik Sense .
What other advice do I have?
Omni also 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. This helps save time, supports better decision-making, and enables more efficient reporting through centralized dashboards and visual analytics.
My advice to others looking into using Omni is that this tool has been more than helpful for my case. It provides direct data access, reducing reliance on Excel and ensuring uniform data availability and intuitive visualization tools for easy dashboard creation.
I found this interview to be well-executed and have no changes to suggest for the future.
Omni is a powerful analytics tool that helps us make faster and better decisions. I have given this review a rating of five out of five.
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Manisha J.
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