Why Omni over ThoughtSpot?

Unlock governed self-service and trustworthy AI insights for every user – and move faster with a platform built for modern data teams.

AI is available to everyone: AI summaries and advanced analytics features are available to all Omni customers. ThoughtSpot locks these features behind premium pricing tiers and costly add-ons.

Flexible, governed self-service: Omni’s built-in semantic layer provides consistent metrics and vetted business context, letting you confidently explore and model data how you want – whether that’s via AI, spreadsheets, SQL, or through our point/click UI.

Speed without the spend: Omni’s intelligent caching delivers fast, fresh results without running every query live or inflating your compute bill.

Safely test and release changes: Confidently roll out AI and analytics with branch mode, Git integration, content validation, a 2-way dbt integration, and other developer-friendly workflows.

Omni’s AI answered like a consultant and provided recommendations that aligned with a proposal our team was already pursuing. It validated the AI’s capabilities and helped us build stakeholder confidence — strengthening alignment around SWBC’s AI vision.

Consolidated use cases from multiple tools and launched Omni as a unified, AI-powered analytics platform in under six months

Read case study

How Omni & ThoughtSpot compare

Omni lets you switch seamlessly between analysis tools – helping everyone work smarter with data.

ThoughtSpot forces every user into a rigid search interface and reserves AI features for customers who pay extra. Omni lets you switch seamlessly between natural language queries, a familiar spreadsheet UI, raw SQL, and a point/click UI.

Smarter, accurate AI for all. Omni’s AI uses your semantic layer to answer questions accurately and perform multi-step reasoning grounded in your business context. And, it’s included for every customer.

Core AI features are locked behind premium pricing tiers and costly add-ons, limiting the usefulness for those who don’t pay extra.

Anyone can move fast with Omni. Users can seamlessly switch between AI, spreadsheets, SQL, or a point/click UI at any time.

Omni offers spreadsheets powered by live data, letting business users work in a familiar interface — while still incorporating AI to accelerate workflows, without leaving the governed analytics environment.

ThoughtSpot lacks spreadsheet functionality, so users who want this will end up exporting data into Excel — losing freshness, governance, and any access to AI.

Build beautiful custom charts directly in Omni with Markdown visualizations and CSS dashboard controls, or let AI do it for you.

Customization is severely limited. More advanced visuals often require a third-party subscription or development experience.

Overall user sentiment:

• "We adopted Omni for the multiple ways for end users with different skills and backgrounds to access data."
• "Natural language doesn't work well. Our users found it very non-intuitive."

Choosing Omni is solving for more than just BI. We’ve also primed ourselves to leap forward into AI because the semantic model is at the heart of the platform. That’s not true for many other tools.

Omni eliminates metrics chaos and sets up your data for AI.

ThoughtSpot’s semantic approach is fragmented across workflows and models, making it difficult to ensure consistency and provide AI with reliable business context. Omni’s semantic layer enables accurate metrics and reliable AI answers without slowing you down.

Omni’s AI answers questions accurately by using the same business definitions in your semantic layer, and can handle multi-step questions without going off track.

Difficult to ensure reliable AI answers, as ThoughtSpot’s AI relies heavily on pre-modeled structures and requires significant upfront effort to prepare data.

Omni's built-in semantic layer ensures that everyone uses consistent metrics, even as users explore and build ad-hoc analyses.

Definitions in ThoughtSpot are spread across many (optional) data models, resulting in inconsistent metrics and confusion.

Just-in-time data modeling: lets you add or update shared definitions as you analyze, instead of stopping to rework the data model.

Exploration and data modeling are separate. Metrics cannot be shared from within worksheets, creating siloed and conflicting definitions.

Omni’s two-way dbt integration has been a game changer.

If you like dbt, you'll love Omni's dbt integration

Omni's dbt integration supports real analyst workflows: switching between dev and prod schemas, creating dbt models from logic built in Omni, and more.

See how Omni's dbt integration compares to ThoughtSpot's

With Omni, you don't have to compromise on speed or data freshness.

Omni’s intelligent cache is built to give you more control over performance and cloud costs.

ThoughtSpot makes you choose between speed and cost: either direct database queries or in-memory extracts (only available with paid add-ons).

Our big lesson with AI is that it’s about control. When you constrain it and give it context, like Omni’s semantic layer does, you get predictable, reliable results that drive action.

Omni lets your data team move faster by streamlining data engineering workflows.

ThoughtSpot’s modeling workflow is outdated and requires extensive upfront structure. Omni is built for teams that need to ship quickly and safely, allowing for ad-hoc analyses and promoting metrics you want to reuse.

Customer love

"Omni Analytics is a sweet spot between Looker and Mode. It's easy for your team to use, like Looker, but also lets tech-savvy folks dig into data with SQL queries.** Plus, the Omni team is super quick to support and brainstorm on new ideas.**"

FAQs

We want to enable self-serve analytics for our business users. Which tool should I choose?
Both Omni and ThoughtSpot are designed for self-service access to data, but Omni allows flexible workflows with natural language queries, spreadsheets, SQL, and more, while ThoughtSpot's rigid interface is limiting.

Our team wants to leverage AI to reduce ad-hoc requests. Which tool is a better choice for us?
ThoughtSpot lacks a central shared data model, whereas Omni’s shared semantic layer allows for consistent metrics and accurate AI insights.

Why do I need a semantic layer in Omni if I’m using dbt?
dbt is excellent for core data models, but Omni’s semantic layer allows teams the flexibility to iterate quickly on ad-hoc metrics.