How is Sigma different from ThoughtSpot?

ThoughtSpot built its reputation on search and natural-language questions over modeled data. Sigma starts from a spreadsheet interface on live warehouse data, so users explore by drilling, pivoting, and writing formulas as well as asking questions in plain language. Both run on the warehouse; the daily experience differs.

Does Sigma support AI apps and agents, not just analytics?

Yes. Alongside search and spreadsheet analysis, Sigma builds AI apps with writeback and runs agentic workflows on your warehouse, governed under one control plane. ThoughtSpot's strength is AI-driven search and analytics, so if you want to act on the answer in the same place, Sigma's app and agent layer is the wider difference.

Is Sigma a good ThoughtSpot alternative?

For teams who want business users working hands-on with data rather than mainly searching it, Sigma tends to fit. ThoughtSpot suits organizations whose primary pattern is question-and-answer search across well-modeled data, so the right choice depends on how your people prefer to work.

Does Sigma require upfront data modeling like ThoughtSpot?

Less of it to get started. ThoughtSpot's search experience depends on careful modeling before users can ask good questions. Sigma can read existing warehouse tables or dbt models directly, so teams begin exploring sooner and add a governed semantic layer as they go.

Does Sigma offer natural-language and AI analytics?

Yes. Sigma includes AI that answers questions in plain language, grounded in your governed metrics and data models. The difference from ThoughtSpot is that search sits alongside spreadsheet exploration, SQL, and Python rather than serving as the main way in.

Is Sigma easier for business users than ThoughtSpot?

For users who think in spreadsheets, usually yes, because the interface matches a tool they already know. ThoughtSpot's search model is powerful but asks users to phrase questions against a curated model, which works best once that model is mature.

Can we move from ThoughtSpot to Sigma?

Yes. Because both run on the cloud warehouse, a migration points Sigma at the same data and rebuilds the most-used content first, with the option to keep search-style questions available through Sigma's AI.

How is Sigma different from ThoughtSpot?

ThoughtSpot built its reputation on search and natural-language questions over modeled data. Sigma starts from a spreadsheet interface on live warehouse data, so users explore by drilling, pivoting, and writing formulas as well as asking questions in plain language. Both run on the warehouse; the daily experience differs.

Does Sigma support AI apps and agents, not just analytics?

Yes. Alongside search and spreadsheet analysis, Sigma builds AI apps with writeback and runs agentic workflows on your warehouse, governed under one control plane. ThoughtSpot's strength is AI-driven search and analytics, so if you want to act on the answer in the same place, Sigma's app and agent layer is the wider difference.

Is Sigma a good ThoughtSpot alternative?

For teams who want business users working hands-on with data rather than mainly searching it, Sigma tends to fit. ThoughtSpot suits organizations whose primary pattern is question-and-answer search across well-modeled data, so the right choice depends on how your people prefer to work.

Does Sigma require upfront data modeling like ThoughtSpot?

Less of it to get started. ThoughtSpot's search experience depends on careful modeling before users can ask good questions. Sigma can read existing warehouse tables or dbt models directly, so teams begin exploring sooner and add a governed semantic layer as they go.

Does Sigma offer natural-language and AI analytics?

Yes. Sigma includes AI that answers questions in plain language, grounded in your governed metrics and data models. The difference from ThoughtSpot is that search sits alongside spreadsheet exploration, SQL, and Python rather than serving as the main way in.

Is Sigma easier for business users than ThoughtSpot?

For users who think in spreadsheets, usually yes, because the interface matches a tool they already know. ThoughtSpot's search model is powerful but asks users to phrase questions against a curated model, which works best once that model is mature.

Can we move from ThoughtSpot to Sigma?

Yes. Because both run on the cloud warehouse, a migration points Sigma at the same data and rebuilds the most-used content first, with the option to keep search-style questions available through Sigma's AI.

Why teams choose Sigma vs ThoughtSpot

Sigma is the enterprise leader in self-service analytics and operational workflows.

Book a demo Start a free trial

Analyze your warehouse as it is
Sigma works on your existing tables and relationships, so there’s no second data model to build first.
Spreadsheet depth behind every answer
Pivot, drill and calculate on the full data behind an AI answer, without exporting to Excel.
Apps and reports beyond search
Input Tables, data apps and print-ready reports on the same governed data.

Fulfillment OpsSave as

Fulfillment

DC: All

On-time delivery

87.1%

8.7 ptsvs week 37

Orders shipped

48,210

3.2%vs week 37

Avg. days to ship

2.6

0.4 daysvs week 37

On-time delivery by week

Shipments by DC

DC	Shipped	On time
Reno	9,820	81.4%
Columbus	12,410	94.2%
Dallas	11,035	93.8%
Atlanta	8,760	95.1%
Allentown	6,185	96.0%
Phoenix	5,940	95.7%

Trusted by teams across industries

How Sigma and ThoughtSpot compare

As of March 29, 2026.

Multi-Modal DevelopmentThoughtSpotForces developers into separate Notebook silos for SQL and Python, disconnecting technical data teams from end users and impeding enterprise collaboration across functions.SigmaUnifies technical and non-technical users by enabling them to collaborate across spreadsheets, SQL, Python, and AI in one workspace. No context-switching, no duplicate data, and no broken governance.

Spreadsheet InterfaceThoughtSpotConfines spreadsheet functionality to technical Analyst Studio and restricts users to a rigid search paradigm. Complex operational analysis requires technical intervention or data extraction, bottlenecking self-service.SigmaFamiliar spreadsheet UI for accessible analysis and no-code AI App building without added licenses or waiting on IT.

AI ApplicationsThoughtSpotThoughtSpot cannot support interactive applications or autonomous agents without heavy external engineering. This traps users in an answer-only dead end, structurally incapable of automating workflows or closing the insight-to-action loop natively.SigmaMove beyond read-only dashboards with AI Apps and Sigma Agents. All users can build and deploy no-code interactive applications with embedded autonomous agents that answer questions, securely trigger external workflows, and natively write governed decisions to your warehouse.

AI Model FlexibilityThoughtSpotRestricts AI model selection to system-wide, admin-level configurations behind a proprietary interface. Lacks the multi-modal agility for allowing all users to dynamically swap or interact with different LLMs directly within their workflows. This replicates legacy IT bottlenecks, forcing dependence on rigid, predefined AI implementations.SigmaLLM-agnostic architecture lets you directly connect to OpenAI, Azure OpenAI, or Google Gemini and use any Snowflake Cortex or Databricks hosted LLM including Claude from Anthropic. Future-proof your infrastructure and easily switch models using familar spreadsheet functions to optimize for cost and performance without needing code to rebuild your workflows.

Governed CollaborationThoughtSpotArchitected on serialized, single-user sessions that fundamentally cannot support multi-user collaboration. Users are restricted to asynchronous comments because concurrent editing risks overwritten work. This rigid architectural bottleneck makes the development of interactive AI applications and synchronous agentic workflows structurally impossible.SigmaSigma's architecture enables synchronous, multi-user state management and agentic collaboration. Multiple users can build, edit, and explore the same live workbook simultaneously without locking files or overwriting work. This shared environment natively supports human-in-the-loop approval chains, allowing teams to securely review and approve Sigma Agent actions before execution.

Semantic Layer IntegrationThoughtSpotRelies on proprietary modeled Worksheets and forces translation and re-definition of third-party semantic layers. The persisting mandate on data teams to duplicate logic traps them in wasteful, inefficient maintenance cycles.SigmaNatively integrate with dbt, Snowflake Semantic Views, and Databricks Unity Catalog metric views so centrally defined metrics flow directly into AI Apps and Sigma Agents without re-definition. This shared semantic foundation ensures automated actions execute with governed precision and complete auditability.

WritebackThoughtSpotLacks direct warehouse writeback. Updating source records and bidirectional modeling is natively impossible in ThoughtSpot so users must egress sensitive data to external SaaS apps to take action. This movement severs data lineage and breaks inherited warehouse governance, creating security and compliance risk.SigmaCapture inputs and trigger workflows safely via Input Tables. Every user writeback and Sigma Agent action automatically inherits your cloud data warehouse’s native permissions and security policies, ensuring absolute enterprise governance.

Unstructured Data QueryingThoughtSpotAnalyzing contracts, images, or unstructured text requires extensive pre-processing and complex data engineering pipelines, isolating valuable unstructured insights from your core business reporting.SigmaNatively extract insights from PDFs, images, and unstructured text using AI functions in Sigma's spreadsheet interface. All users can query, join, and analyze unstructured documents directly alongside tabular data in a single, governed platform.

Materialization ControlsThoughtSpotRelies primarily on warehouse performance and requires separate API/Admin configuration for caching. No in-tool materialization control.SigmaEnd-users can define scheduled or on-demand materialization to optimize cost and performance.

LineageThoughtSpotBasic lineage via governed data models; lacks element-level detail.SigmaVisual lineage traces data origin and transformations at data-element level.

Straight from the source

Sigma on G2 Sigma on Gartner Peer Insights

“The irony is that we bought Sigma for dashboards, and today one of its most valuable roles is as something our AI tools talk to. Through Sigma's MCP server, anyone with Sigma access can query governed data from our AI assistant (Claude) in plain language, and builders can have the AI create workbooks. A lot of one-off questions now become ephemeral reports that answer the question and then get out of the way. Because Sigma connects to Snowflake with 0Auth, people only see what the warehouse already permits, which keeps governance as AI use grows.”
VP, Data and AnalyticsConstruction · Gartner Peer Insights (opens in a new tab)
“Sigma’s AI assistant has become a complete game-changer for ad-hoc requests. It acts as an accurate, self-serve solver for non-technical users, freeing up our analytics team from fielding repetitive one-off questions.”
Cherry LinPrinciple Data Analytics, GTM · Enterprise (> 1000 emp.) · G2 (opens in a new tab)
“The newer AI features add a lot of value, especially the AI chatbot. Instead of following the usual workflow of exploring the data, analyzing it, and then building tables, I can simply ask questions in plain language and get insights quickly. It saves time and makes data exploration easier and more accessible for a wider audience.”
Enterprise (> 1000 emp.) · G2 (opens in a new tab)
“It feels like excel with the backend power of SQL. I can sift through billions of records with a UI that feels and acts like an excel file would.”
Enterprise (> 1000 emp.) · G2 (opens in a new tab)
“What I like about Sigma is that interactive dashboards make it easy to filter, drill down and explore data. … Recently added Sigma assistant feature lets end users query the data in the reports and dashboards in plain language, and that makes it super easy and convenient for non-technical users.”
EngineerSoftware · Gartner Peer Insights (opens in a new tab)
“Sigma is the only tool that makes it easy to create dashboards and reports that are what my customers are looking for without workarounds. Plus, I'm not stuck with having to model my data in the BI tool, but can do all my modeling in dbt and connect directly to the Snowflake tables/views and not have to pay for additional storage or compute from the BI tool.”
Senior Manager, Data and Analytics EngineeringConstruction · Gartner Peer Insights (opens in a new tab)
“Since migrating to Sigma, we can analyze large datasets without limits, which has greatly improved decision-making across teams.”
Director of OperationsBanking · Gartner Peer Insights (opens in a new tab)
“What I appreciate most is that Sigma is not a rigid, one-size-fits-all reporting tool. It is a flexible, explorable layer that lets users engage with trusted data in their own way. Teams can ask questions, follow signals, test ideas, and find answers while the organization maintains the security and governance it needs.”
Kari KeselPrincipal Data Analyst — Analyst · Enterprise (> 1000 emp.) · G2 (opens in a new tab)

AI, Apps, and Agents with all the BI that you expect

Familiar formulas

We excel in the cloud

Analyze billions of rows of live warehouse data using spreadsheet formulas you already know. No stale extracts, row limits, or proprietary coding languages. Ask Sigma Assistant if you have a question.

Sales detail

Sales by region and product

Rolled up from 48,213,906 order lines

Region	Product	Sum of Revenue	Sum of Cost	Margin %
East	Laptops	$184,612,409	$141,238,774	23.5%
	Monitors	$72,418,236	$51,907,412	28.3%
	Docks	$31,806,551	$19,622,908	38.3%
	East total	$288,837,196	$212,769,094	26.3%
Central	Laptops	$121,344,870	$94,817,263	21.9%
	Monitors	$48,706,129	$35,588,417	26.9%
	Docks	$22,391,046	$14,066,372	37.2%
	Central total	$192,442,045	$144,472,052	24.9%
West	Laptops	$209,517,338	$158,326,045	24.4%
	Monitors	$88,143,702	$62,019,554	29.6%
	Docks	$39,228,815	$23,471,906	40.2%
	West total	$336,889,855	$243,817,505	27.6%
Total		$818,169,096	$601,058,651	26.5%

Governed AI

AI that works on the data you trust

Sigma Assistant answers questions and builds workbooks, and Sigma Agents take action on live warehouse data, with each person’s permissions applied to every step.

Configure agent

Hi there!

I'm here to help you configure your Renewal Risk agent. What would you like to adjust?

Add more data sources

How can I help you build your agent?

AI can make mistakes. Please double-check responses.

Renewal Risk

Flags renewal risk, explains the drivers, and alerts the account's CSM.

Data sourcesAccount Health

Tools

InstructionsNormal text ƒxGreeting

You are a Renewal Risk Agent for customer success managers.

Your Focus

Find accounts renewing in the next 120 days, rate their churn risk, and explain the drivers behind it.

Data

Use Account Health via database_execute_query for every risk question.

How to Respond

Lead with the accounts most at risk
Back every rating with usage and ticket data

Captured decisions

Write directly back to your warehouse

If you know how to use a spreadsheet, you can safely capture data, run live scenarios, and trigger downstream workflows. Deploy Sigma Agents to fully automate those actions with a complete audit trail.

FY27 Headcount Plan

Total budget

$120.0M

4.8%vs FY26

Total forecast

$121.6M

1.3%vs budget

Departments with notes

6 of 12

1vs last week

FY27 Budget vs. Forecast

Edit data

	Department	Budget	Forecast	Notes	Last updated by	Last updated at
1	Engineering	$44,000,000	$45,184,600	Watch engineering backfills	Nora Kim	10/06/2026
2	Product	$9,000,000	$8,912,400		Nora Kim	10/06/2026
3	Design	$4,000,000	$4,063,250		Luis Ortega	10/07/2026
4	Support	$8,000,000	$7,431,800	Two senior hires slipped to Q1	Luis Ortega	10/07/2026
5	Marketing	$10,000,000	$10,486,900	Agency work moves in-house	Nora Kim	10/06/2026
6	Finance	$6,000,000	$5,978,150		Luis Ortega	10/07/2026
7	People	$5,000,000	$5,342,700	Recruiting adds two roles	Nora Kim	10/06/2026
8	Legal	$3,000,000	$2,961,400		Priya Shah	10/08/2026
9	IT	$7,000,000	$7,108,350		Nora Kim	10/06/2026
10	Operations	$11,000,000	$10,524,600	Holding two roles open	Luis Ortega	10/07/2026
11	Security	$4,000,000	$4,318,900	Above plan on contractors	Priya Shah	10/08/2026
12	Data	$9,000,000	$9,237,500		Priya Shah	10/08/2026

Customer-facing data

Scale with unmatched performance

Securely embed live analytics and writeback capabilities into your customer portals. Automatically inherit warehouse security for strict multi-tenant data isolation without duplicate permission models.

Inherited controls

The security your warehouse already enforces

Sigma applies your warehouse roles and row- and column-level policies at query time. Version tags and workbook history show what changed, and who changed it, before it reaches everyone.

Store SalesStaging

Store sales

Q3 2026

Net sales

$12.4M

7.2%vs Q2 2026

Orders

184,000

4.8%vs Q2 2026

Avg. order value

$67.40

$1.60vs Q2 2026

Net sales by month

AprMayJunJulAugSep

Returns peak online

Return rate by channel, Q3 2026

Online
Marketplace
In store
Pickup

Avg. 5.1%

More reasons teams choose Sigma

Dashboards anyone can explore
Viewers filter, drill and pivot on the dashboard itself, down to row-level detail, so a new question doesn’t become a new request.
Pixel-perfect reports on live data
Rebuild paginated, print-ready reports on live warehouse data with Pixel Perfect Reporting, then schedule them out as PDF or Excel.
Live on your warehouse, with no extracts
Every query runs in your warehouse, so analysis reads current data at full detail. There are no extracts to schedule or reload, and drilling from a total to the rows behind it takes a click.

Ready to move

Moving from ThoughtSpot

Guides for planning the move from ThoughtSpot and rebuilding on live warehouse data.

What teams build on Sigma

Live data, apps that write back, and agents, on the warehouse they already run

View all

30K+ users onboarded. 30% more queries.DoorDash Logs a 30% Increase in Queries while Keeping the Snowflake Cost Constant with Sigma

700+ active users. Days to Hours in time savings.Blackstone Leverages Sigma & Snowflake to Perform Data Analytics at Cloud Scale

91% active user adoption. 300+ concurrent ab tests.How Duolingo Democratized Data Access While Protecting Sensitive Information

Related resources

All comparison posts

How Companies Evaluate Sigma and ThoughtSpot
Read about the limitations of Thoughtspot and how Sigma can help you answer your business questions with live data.
Read the post: How Companies Evaluate Sigma and ThoughtSpot
Why Sigma Is The Clear Choice For Embedded Analytics Over ThoughtSpot
Discover how Sigma excels over ThoughtSpot in embedded analytics with its ease of use, customization, integration, and predictable pricing for scalable insights.
Read the post: Why Sigma Is The Clear Choice For Embedded Analytics Over ThoughtSpot

Sigma and ThoughtSpot FAQ

What teams ask when they compare Sigma with ThoughtSpot.

How is Sigma different from ThoughtSpot?
ThoughtSpot built its reputation on search and natural-language questions over modeled data. Sigma starts from a spreadsheet interface on live warehouse data, so users explore by drilling, pivoting, and writing formulas as well as asking questions in plain language. Both run on the warehouse; the daily experience differs.
Does Sigma support AI apps and agents, not just analytics?
Yes. Alongside search and spreadsheet analysis, Sigma builds AI apps with writeback and runs agentic workflows on your warehouse, governed under one control plane. ThoughtSpot's strength is AI-driven search and analytics, so if you want to act on the answer in the same place, Sigma's app and agent layer is the wider difference.
Is Sigma a good ThoughtSpot alternative?
For teams who want business users working hands-on with data rather than mainly searching it, Sigma tends to fit. ThoughtSpot suits organizations whose primary pattern is question-and-answer search across well-modeled data, so the right choice depends on how your people prefer to work.
Does Sigma require upfront data modeling like ThoughtSpot?
Less of it to get started. ThoughtSpot's search experience depends on careful modeling before users can ask good questions. Sigma can read existing warehouse tables or dbt models directly, so teams begin exploring sooner and add a governed semantic layer as they go.
Does Sigma offer natural-language and AI analytics?
Yes. Sigma includes AI that answers questions in plain language, grounded in your governed metrics and data models. The difference from ThoughtSpot is that search sits alongside spreadsheet exploration, SQL, and Python rather than serving as the main way in.
Is Sigma easier for business users than ThoughtSpot?
For users who think in spreadsheets, usually yes, because the interface matches a tool they already know. ThoughtSpot's search model is powerful but asks users to phrase questions against a curated model, which works best once that model is mature.
Can we move from ThoughtSpot to Sigma?
Yes. Because both run on the cloud warehouse, a migration points Sigma at the same data and rebuilds the most-used content first, with the option to keep search-style questions available through Sigma's AI.

Why teams choose Sigma vs ThoughtSpot

Analyze your warehouse as it is

Spreadsheet depth behind every answer

Apps and reports beyond search

How Sigma and ThoughtSpot compare

Straight from the source

AI, Apps, and Agents with all the BI that you expect

We excel in the cloud

AI that works on the data you trust

Write directly back to your warehouse

Scale with unmatched performance

The security your warehouse already enforces

More reasons teams choose Sigma

Dashboards anyone can explore

Pixel-perfect reports on live data

Live on your warehouse, with no extracts

Moving from ThoughtSpot

Migrate from ThoughtSpot to Sigma

Migrating from ThoughtSpot, step by step

The ThoughtSpot converter

What teams build on Sigma

Related resources

How Companies Evaluate Sigma and ThoughtSpot

Why Sigma Is The Clear Choice For Embedded Analytics Over ThoughtSpot

Sigma and ThoughtSpot FAQ

Get started