Sigma Computing
Sigma Computing is a cloud-based analytics and AI platform that enables enterprises to build dashboards, AI applications, and agentic workflows directly on existing cloud data warehouses, serving 2,000+ customers including Fortune 100 companies and growth-stage AI startups.
- Company typePrivate
- Founded2014
- HeadquartersSan Francisco, United States
- Headcount501–1,000
- GTM typeB2B
- OfferingSoftware
What Sigma Computing does
Sigma Computing is a San Francisco-based, privately held enterprise software company founded in 2014 that builds a warehouse-native AI runtime for business intelligence, analytics, and AI applications. The platform live-queries customer cloud data warehouses (Snowflake, Databricks, Google BigQuery, Amazon Redshift, PostgreSQL, and ClickHouse in beta) without copying data, inheriting the warehouse's role-based access control, row/column security, and catalog governance. The core product surface combines a spreadsheet UX with writeback, a semantic data-modeling layer (Data Models), AI Builder and AI Assistant for natural-language interaction, AI Applications for governed workflow automation, Sigma Agents for agentic multi-step execution, Embedded Analytics with multi-tenant Sigma Tenants, and Pixel-Perfect Reports for audit-ready batch delivery. A proprietary Alpha Query in-browser calculation engine and a multi-tier caching architecture (browser cache, fingerprint-based query-ID result cache, materialization, and warehouse pushdown) deliver spreadsheet-like responsiveness on warehouse-scale data.
Sigma's commercial model is primarily annual enterprise SaaS subscriptions sold through a 'Request a Demo' field-sales motion, supplemented by a self-serve free trial and Sigma Public sandbox, an OEM/embedded channel via Sigma Tenants, and a structured Partner Program with Snowflake, Databricks, AWS, Azure, GCP, and consulting SIs. Pricing is quote-based for enterprises with a layered usage-based billing component ('billable usage events'). The company serves 2,000+ enterprise customers including Fortune 100 names (JPMorgan Chase, Blackstone, Workday, AMD, CBRE, DoorDash, Figma, Duolingo, Conagra) and growth-stage AI-native companies (Pinecone, Glean, Whoop, Bilt), and is led by CEO Mike Palmer and CTO/co-founder Rob Woollen with a C-suite that includes a CRO, CMO, and VPs of Product, Sales, APJ, and Customer Success. As of April 2026 Sigma had reached $200M ARR (more than doubling year-over-year), closed an $80M Series E at a $3B valuation in May 2026 led by Princeville Capital with strategic participation from Databricks Ventures, ServiceNow Ventures, and Workday Ventures, and was recognized as Databricks BI Partner of the Year for two consecutive years (2025 and 2026) and a 2026 Snowflake Partner Award winner.
Sigma Computing firmographics
Firmographics- Name
- Sigma Computing
- Legal name
- Sigma Computing, Inc.
- Website
- https://sigmacomputing.com
- Company type
- Private
- Founded year
- 2014
- Operating status
- Operating
- Headcount range
- 501–1,000 employees
- Short description
- Sigma Computing is a cloud-based analytics and AI platform that enables enterprises to build dashboards, AI applications, and agentic workflows directly on existing cloud data warehouses, serving 2,000+ customers including Fortune 100 companies and growth-stage AI startups.
- Ownership category
- akta.pro rank
Sigma Computing industry classification
Industry- Product category
- Cloud Analytics and Business Intelligence Software
- NAICS
- Custom Computer Programming Services (541511), Computer Systems Design and Related Services (54151), Computer Systems Design Services (541512)
- SIC
- Services-Computer Programming Services (7371), Services-Prepackaged Software (7372)
- akta.pro primary industry
- End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)
- akta.pro secondary industries
- Cloud Data Warehouses (HDAEABAA), Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB), Managed Databases (Relational/NoSQL/In-Memory DBaaS) (HDABAAAE), Model Hosting, Serving & Inference Platforms (HDAAACAB)
Keywords
Where Sigma Computing is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices3 records
Markets served
Sigma Computing business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- Enterprise SaaS subscriptions (ARR): Sigma's primary revenue is recurring annual SaaS subscriptions sold to enterprises, reaching $200 million in ARR as of April 2026, doubling year-over-year (over 100% YoY ARR growth) and serving 2,000+ customers across the Fortune 100 and growth-stage startups.
- Embedded analytics / OEM licensing (Sigma Tenants): Sigma monetizes white-label embedded analytics and multi-tenant deployment (Sigma Tenants) so software vendors can ship Sigma-powered analytics inside their own products via React SDK, SSO-ready embeds, and JWT-secured embed APIs.
- Venture-backed growth funding: Sigma supplements operating revenue with venture capital to fund product expansion (e.g., $300M growth round in Dec 2021 led by D1 Capital Partners and XN; $80M Series E in May 2026 led by Princeville Capital at a $3B valuation).
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Annual | Free Trial / Sigma Public sandbox |
| Subscription | Annual | Enterprise quote-based subscription |
| Usage-based | Pay-as-you-go | Usage-based billable events |
Go-to-market motion5 records
Distribution channels7 records
Marketing channels8 records
Sigma Computing product offering
Product offeringCore offering
Sigma Computing develops a warehouse-native cloud analytics and AI platform that lets enterprises build dashboards, reports, AI applications, and AI agents directly on top of cloud data warehouses such as Snowflake, Databricks, BigQuery, Redshift, and Postgres. The platform combines a spreadsheet-style UX with writeback, semantic data modeling, embedded analytics, and agentic automation, and is sold primarily as annual enterprise SaaS subscriptions reaching $200M ARR as of April 2026.
Product overview
Sigma Computing offers a single unified AI runtime platform — marketed as 'The AI runtime for business' — built on a warehouse-native architecture that live-queries Snowflake, Databricks, BigQuery, Redshift, Postgres, ClickHouse (Beta), and other cloud data warehouses. The core platform centers on Workbooks (a spreadsheet UX with self-service, NLQ, drill-down, pivot tables, and charting) and Data Models (semantic layer with trusted metrics and as-code management). On top of this core, Sigma delivers four primary product modules: (1) AI Applications / AI Apps, which combine with (2) Sigma Agents to build and automate AI-powered workflows and writeback actions; (3) Embedded Analytics for white-label analytics and AI Apps in customer products (powered by a React SDK and Sigma Tenants multi-tenancy); and (4) Pixel-Perfect Reports for batch, audit-ready report delivery. Sigma's AI Toolkit bundles AI Builder, AI columns, AI queries, and Sigma Assistant for natural-language interaction, and exposes developer-facing surfaces including a public REST API, the Embed SDK for React, the Sigma Documentation MCP Server for AI assistants, and a plugin development platform.
Differentiator
Problem solved
Functional benefit
Brands
- Sigma Agents: Sigma's agentic analytics product line that the company describes as its most rapidly-adopted product launch in its history, enabling enterprise LLMs and AI agents that run real workflows across analytics, AI Apps, and external tools.
Products and services
- Sigma AI Applications (AI Apps) A flagship Sigma product module for building and automating AI-powered workflows with agents, writeback, and actions in a single governed workspace on warehouse data, targeting enterprise teams that want to deploy governed AI apps without separate BI silos.
- Sigma Agents Sigma's agentic AI product that takes action and automates multi-step workflows across AI Apps, external systems, and warehouse-native agents like Databricks Genie and Snowflake Cortex, differentiated by its ability to write back to the warehouse and trigger actions in external systems.
- Sigma AI Toolkit A toolkit for building and deploying AI-powered workflows, including AI Builder, AI automation, AI columns, AI queries, and the Sigma Assistant for natural-language data interaction, for analysts and business users without code.
- Sigma Embedded Analytics White-label analytics and AI applications embeddable into customer products via a React SDK, SSO, Sigma Tenants (multi-tenant deployments), and JSON Web Token-secured embed APIs, targeting SaaS vendors that want to ship analytics in their own products.
- Sigma Pixel-Perfect Reports A batch-reporting module that delivers highly formatted, audit-ready reports on live warehouse data with PDF export, bursting to thousands of recipients, and paginated report layouts.
- Sigma BI & Analytics Sigma's spreadsheet UX and dashboarding surface, including self-service analytics, natural-language querying, drill-down, pivot tables, charts, and data models on warehouse data, for business users who want spreadsheet-like interaction on live warehouse data.
- Sigma REST API A public REST API at api.sigmacomputing.com/v2 for programmatic management of workbooks, members, teams, workspaces, connections, schedules, materializations, tags, exports, embeds, and version history, secured via OAuth2, for developers integrating Sigma into enterprise workflows.
- Sigma Embed SDK for React A React SDK for embedding Sigma workbooks, dashboards, AI Apps, and Assistant experiences inside customer applications with secure JWT-based embedding and inbound/outbound events, for SaaS vendors building embedded analytics.
Companies that use Sigma Computing
Customer profileNamed customers26 records
Segments10 records
Ideal customer profiles5 records
Sigma Computing technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration7 records
AI capability11 records
Feature11 records
Sigma Computing partnerships and signals
Strategic signalPartnerships
14 partnerships are on record, tiered flagship / core technology partner, core technology partner, supporting technology partner, strategic co-development partner, core gtm program, co-marketing partner in databricks startup offer and industry-standards co-development partner.
- Snowflakeflagship / core technology partnerSigma is architected for Snowflake with a Snowflake-native, zero-copy architecture; integrates Cortex Agents, Cortex Analyst, and Cortex Search; supports OAuth, RBAC, RLS, and CLS inheritance; named Leader in Snowflake's Modern Marketing Data Stack 2026 (Analytics & Measurement) and a 2026 Snowflake Partner Award winner; supports query and extension of Snowflake Semantic Views.
- Databricksflagship / core technology partnerSigma is architected for Databricks, querying Delta tables directly with Unity Catalog governance; orchestrates Mosaic AI and Databricks Genie; Databricks BI Partner of the Year for two consecutive years (2025 and 2026); 2026 Databricks Partner Award winner in the ISV category; part of Databricks' 8,000+ Brickbuilder Partner Network.
- ClickHousecore technology partnerSigma supports ClickHouse connections (currently in beta) on ClickHouse Cloud and single-node self-hosted instances v24.2+; integrates over public internet using basic authentication with TLS recommended; references limitations around OAuth, SSH, writeback, geography functions, and array functions.
- Amazon Web Services (AWS)core technology partnerSigma is hosted on AWS across multiple regions (US West/East, Canada, Europe/Frankfurt, APAC/Sydney, UK/London) and supports AWS PrivateLink for private connectivity between Sigma and customer AWS-hosted warehouses.
- Microsoft Azurecore technology partnerSigma is hosted on Microsoft Azure in regions including US/Virginia, Europe/Netherlands, Canada/Toronto, and UK/London, and supports Azure Private Link connections for private traffic to customer Azure warehouses.
- Google Cloud Platform (GCP)core technology partnerSigma is hosted on Google Cloud in regions including US/Iowa and Kingdom of Saudi Arabia/Dammam, and connects natively to Google BigQuery warehouses (no private-link support on GCP).
- dbt Labs (dbt Semantic Layer)core technology partnerSigma integrates with the dbt Semantic Layer to reuse standardized metrics and keep business logic centralized; Sigma joined the Open Semantic Interchange (OSI) initiative alongside dbt, Snowflake, and Salesforce to standardize semantic metadata exchange.
- Alation / Atlansupporting technology partnerSigma integrates with Alation and Atlan data catalogs so users can discover governed tables and definitions in their existing catalog tools.
- Monte Carlosupporting technology partnerSigma integrates with Monte Carlo for pipeline and data-quality monitoring, helping users keep tabs on issues that impact downstream analysis.
- Hightouchsupporting technology partnerSigma integrates with Hightouch to operationalize curated outputs from the warehouse into downstream tools (reverse ETL / activation).
- NINJIOstrategic co-development partnerSigma and Snowflake co-developed NINJIO Insights with NINJIO, a next-generation security awareness training reporting suite launched at RSAC in San Francisco, providing real-time visibility into human cyber risk and resilience.
- Sigma Consulting Partners (program)core gtm programSigma operates a formal Consulting Partner program with partners that implement Sigma for customers, complementing Technology Partners and Partner Integrations in the overall Partner Program.
- Databricks Games Startup Program (EPAM, HeroicLabs, Snowplow)co-marketing partner in databricks startup offerSigma provides five free dashboarding licenses for six months as part of the Databricks Games Startup Offer, alongside HeroicLabs (Satori free), Hiro (25% off licensing), Snowplow (Community Edition), and the AWS Activate Program; joint demos at GDC 2025.
- Open Semantic Interchange (OSI) Initiative — Snowflake, Salesforce, dbt Labsindustry-standards co-development partnerSigma is part of the Open Semantic Interchange initiative alongside Snowflake, Salesforce, and dbt Labs, collaborating to standardize semantic metadata and reduce fragmentation in data definitions; supports dbt Labs' open-sourcing of MetricFlow.
Scale indicators10 records
Recent moves7 records
Expansion highlights7 records
Sigma Computing competitors and assessment
Company assessmentBroad incumbents
- Tableau: Tableau (Salesforce-owned) is the dominant enterprise BI/dashboarding platform with deep analyst mindshare and bundled Salesforce distribution. It directly competes with Sigma's BI & Analytics surface, though Tableau is more visual-canvas vs Sigma's spreadsheet UX and historically relied on data extracts rather than warehouse-native zero-copy.
- Looker: Looker (Google Cloud) is a warehouse-native BI platform built on a semantic modeling layer (LookML) and tightly integrated with BigQuery. It is the most direct architectural competitor to Sigma's warehouse-native approach, with comparable governance and cloud-platform distribution leverage.
- Microsoft Power BI: Microsoft Power BI is the largest BI platform by enterprise seat count, bundled with Microsoft 365 E5 and tightly coupled to Azure Synapse/Fabric. Sigma directly competes in the dashboarding and now AI/agent categories (Power BI Copilot) — and faces Power BI most often in price-sensitive enterprise procurement.
- Qlik: Qlik is an established analytics platform with associative data indexing, AutoML, and now Qlik Cloud analytics. It competes with Sigma in enterprise BI procurement, particularly for analytics on large/structured warehouse data, with deeper legacy footprint but less warehouse-native architecture than Sigma.
Direct peers
- ThoughtSpot: ThoughtSpot is an AI-native analytics platform offering natural-language search, embedded analytics, and AI agents on cloud data warehouses. It is the closest pure-play direct competitor to Sigma's AI Apps / Sigma Agents positioning and overlaps heavily on warehouse-native search-driven analytics.
- Domo: Domo is a cloud BI and embedded analytics platform serving mid-market and enterprise customers with dashboards, data apps, and AI features. It competes with Sigma across BI & Analytics, Embedded Analytics, and AI Apps, with a more traditional SaaS (non-warehouse-native) data model.
- Sisense: Sisense is an embedded analytics and BI platform focused on OEM/white-label deployments for software vendors — directly comparable to Sigma's Embedded Analytics and Sigma Tenants product line. Both target SaaS companies shipping analytics inside their own products.
- Databricks AI/BI (Genie): Databricks AI/BI Genie is Databricks' native natural-language analytics and dashboarding product built directly on Unity Catalog and Delta tables — the most strategically threatening competitor because it ships inside the same platform Sigma runs on. Sigma depends on Databricks as both partner and investor.
- Snowflake Cortex Analyst: Snowflake Cortex Analyst is Snowflake's native AI-powered analytics interface for natural-language querying over structured warehouse data. Sigma integrates Cortex Agents today, but Cortex Analyst is a direct warehouse-native analytics surface that overlaps with Sigma's Assistant and AI Apps.
Emerging players
- Mode Analytics: Mode is a SQL-first collaborative analytics platform with notebook, dashboard, and reporting capabilities for data teams. It overlaps with Sigma's BI & Analytics surface, particularly for analyst-led exploration on warehouse data, and is comparable on the self-service / power-user side.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Sigma Computing social profiles
Digital presenceSigma Computing compliance and trust
Trust signalCompliance8 records
Sigma Computing financial estimates
Financial estimateRevenue estimate
Valuation estimate
Sigma Computing leadership team
Management profileNumber of profiles
Profiles11 records
Sigma Computing funding detail
Funding detailFunding overview
Funding rounds8 records
Investors14 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Sigma Computing M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Sigma Computing
What does Sigma Computing do?
Sigma Computing develops a warehouse-native cloud analytics and AI platform that lets enterprises build dashboards, reports, AI applications, and AI agents directly on top of cloud data warehouses such as Snowflake, Databricks, BigQuery, Redshift, and Postgres. The platform combines a spreadsheet-style UX with writeback, semantic data modeling, embedded analytics, and agentic automation, and is sold primarily as annual enterprise SaaS subscriptions reaching $200M ARR as of April 2026.
Is Sigma Computing a public or private company?
Sigma Computing is a private company. It is classified as venture growth investor backed and is currently operating.
When was Sigma Computing founded?
Sigma Computing was founded in 2014. It employs 501 to 1,000 people.
Where is Sigma Computing based?
Sigma Computing is headquartered in San Francisco, United States, in the North America region.
How does Sigma Computing make money?
Three revenue lines are on record. Enterprise SaaS subscriptions (ARR) is the primary driver. The others are embedded analytics / OEM licensing (Sigma Tenants) and venture-backed growth funding.
Who are Sigma Computing's main competitors?
Broad incumbents on record are Tableau, Looker, Microsoft Power BI and Qlik. Direct peers are ThoughtSpot, Domo, Sisense, Databricks AI/BI (Genie) and Snowflake Cortex Analyst. Mode Analytics is listed as an emerging player.
Does Sigma Computing have an API?
Yes. Sigma offers a public REST API at https://api.sigmacomputing.com/v2/ (with endpoints for workbooks, members, teams, workspaces, connections, schedules, materializations, tags, etc.), secured via OAuth2. A separate Sigma MCP Server is available at https://help.sigmacomputing.com/mcp providing tools (search, fetch, search-endpoints, list-endpoints, get-endpoint) to expose Sigma documentation and API reference to AI assistants such as Claude Code, Cursor, OpenAI Codex, and ChatGPT developer mode. The API Reference documents endpoints such as List workbooks (GET /v2/workbooks), List workspaces (GET /v2/workspaces), List members (GET /v2/members), List teams (GET /v2/teams), List scheduled workbook exports, and List materialization schedules. An Embed SDK for React is offered for embedded analytics. Developer documentation is at help.sigmacomputing.com/reference.
What industry is Sigma Computing in?
Sigma Computing's product category is Cloud Analytics and Business Intelligence Software. Its primary akta.pro industry code is HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management), with a secondary code of HDAEABAA, Cloud Data Warehouses. Its NAICS code is 541511 and its SIC code is 7371.