Why teams choose Sigma vs ThoughtSpot

Unifies 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.

Familiar spreadsheet UI for accessible analysis and no-code AI App building without added licenses or waiting on IT.

Move 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.

LLM-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.

Sigma'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.

Natively integrate with dbt and Snowflake Semantic 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.

Capture 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.

Natively 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.

End-users can define scheduled or on-demand materialization to optimize cost and performance.

Embed secure, interactive data products via simple iFrames or signed URLs in days. Natively queries your warehouse, eliminating the need for additional semantic remodeling.

Sigma isolates draft and live states using connection-aware deployment and version tagging. Sigma versioning is native to the workbook. Track changes to everything and allow granular reversion to facilitate multi-tenant enterprise application lifecycle management (ALM).

Automate tenant onboarding and security via comprehensive REST APIs. Programmatically manage user provisioning, workspace creation, and granular permissions without ever touching a manual UI.

Go beyond read-only charts and chat bot dead-ends. Embed fully interactive AI Apps and agentic workflows that empower external customers to securely input data and trigger governed warehouse-native functions and external workflows.

Optional caching and materialization to control cost and performance for embedded experiences.

Approachable spreadsheet interface with familiar functions for analysis, AI Apps, and agents building eases adoption for embedded users and accelerates time-to-value realization.

Sigma's zero-copy architecture natively inherits warehouse Row-Level Security (RLS) and Column-Level Security (CLS) via OAuth passthrough. No data extraction, and zero duplicate permission models to manage across multi-tenant environments.

LLM-agnostic architecture lets you bring your own AI models—like OpenAI, Google Gemini, Anthropic Claude, or any of the Snowflake Cortex and Databricks hosted LLMs into embedded workflows. Future-proof your customer-facing applications and easily swap LLMs to optimize cost and performance without vendor lock-in.