Sigma
Spreadsheet-style analytics on your cloud data warehouse — no SQL required, no data copies, full governance.
Overview
Sigma is a cloud-native analytics and business intelligence platform that lets business users explore live data directly in their cloud data warehouse — Snowflake, Databricks, BigQuery, Redshift, and more — through a familiar spreadsheet interface. All computation runs inside the warehouse itself, so there are no data extracts, no stale caches, and no loss of existing security controls. Finance, operations, and product teams can build pivot tables, write formulas, run SQL or Python, and collaborate in real time on the same workbook without waiting for an engineer.
In 2026, Sigma expanded into agentic analytics with Sigma Agents — no-code AI agents that execute autonomous or user-approved workflows entirely inside the warehouse's governance boundary — and launched its APJ headquarters in Sydney to serve Asia Pacific customers. The company crossed $200 million ARR in April 2026, then closed an $80 million Series E at a $3 billion valuation in May 2026, led by Princeville Capital with Databricks Ventures, ServiceNow Ventures, and Workday Ventures also participating.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 28 Sep 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- View, Act, Analyze and Build licence tiers
- Spreadsheet-style analysis directly on the cloud warehouse
- Free trial, no credit card required
- Customer-facing dashboards and self-serve exploration
- Usage-scaled enterprise agreement
- Quote via Sigma sales
Use cases
What you can produce with Sigma
- Live, governed BI dashboards connected directly to your cloud data warehouse with no data extracts
- Collaborative spreadsheet workbooks with real-time co-authoring, version history, and rollback
- No-code AI agents (Sigma Agents) that run autonomous or user-approved data workflows inside warehouse governance
- Embedded analytics portals integrated into third-party applications via JWT-secured iframes and React SDK
- Write-back Input Tables enabling FP&A and data entry use cases directly into warehouse tables
- AI-assisted data exploration via Sigma Assistant natural-language query copilot
- MCP Server integration enabling governed AI chat tools to query warehouse data under existing access controls
ASEAN Perspective
Sigma in Southeast Asia
Sigma opened its Asia Pacific and Japan headquarters in Sydney, Australia in February 2026, appointing Bede Hackney as VP APJ and launching AWS ap-southeast-2 region support — a meaningful step toward local data residency for Australian and, by extension, Southeast Asian customers. However, Sigma has no reported office presence in Singapore, Malaysia, or other ASEAN markets, and its partner ecosystem lists no ASEAN-specific system integrators. Enterprises in the region must route through the Sydney team, and data sovereignty requirements outside Australia may still require bespoke arrangements with Sigma's sales team.
Sigma doubled its valuation to $3 billion in an $80 million Series E closed in May 2026 — led by Princeville Capital, with Databricks Ventures, ServiceNow Ventures, and Workday Ventures all riding along, which says something when your infrastructure partners are also betting on you. The company crossed $200 million ARR with more than 100% year-over-year growth, and 2,000+ customers including AMD, Duolingo, and JPMorgan Chase suggest this isn't just a spreadsheet toy. The zero-copy, live-warehouse architecture is the real differentiator: no extracts, no stale caches, and Sigma Agents — its 2026 push into "agentic analytics" — run inside the warehouse's governance boundary rather than bolting AI on top. But Sigma needs a cloud warehouse such as Snowflake, Databricks, BigQuery or Redshift to deliver real value, G2 reviewers (4.4 from 570) most often complain of slow loading, and pricing is entirely custom — a median of about $65,000 a year by procurement broker Vendr's count, plus warehouse compute as a separate line item. The Sydney APJ office only opened in February 2026, so Southeast Asian coverage remains early.
What we found
An $80 million Series E in May 2026 valued Sigma at $3 billion — double where it stood before — with Databricks Ventures, ServiceNow Ventures, and Workday Ventures all writing checks alongside lead investor Princeville Capital. That's an unusual signal: three of Sigma's own infrastructure and ecosystem partners betting on it directly. ARR crossed $200 million in April 2026 with year-over-year growth over 100%, and the customer list — AMD, Duolingo, JPMorgan Chase — reads like a company handling real production load, not just BI pilots.
On G2, Sigma holds a 4.4 rating from 570 reviews, and it entered Gartner's Magic Quadrant for Analytics and BI Platforms as a Niche Player in 2025, appearing again in 2026. Reviewers keep coming back to the same thing: a spreadsheet-native interface that lets non-engineers build real analysis directly against Snowflake or Databricks, with zero data extracts and real-time co-editing on shared workbooks.
The complaints G2 reviewers raise most are slow loading and performance, limited customisation and a learning curve. Cost needs watching too: queries run on your own warehouse, so compute lands on that bill rather than Sigma's. Pricing itself is custom-only, sold as four licence tiers — View, Act, Analyze and Build — with no published rate card; Vendr, a procurement broker, puts its median buyer at about $65,000 a year across 154 purchases. Sigma also assumes a cloud warehouse, although new accounts get sample Snowflake and Databricks connections to evaluate against. For Snowflake- or Databricks-centric teams, it remains one of the stronger self-service options; multi-source shops should look elsewhere first.
Sigma Agents, its no-code agents that run inside the warehouse's governance, became the fastest-adopted product in the company's history in the first quarter of its fiscal year, Sigma says, and an MCP server brings governed answers into ChatGPT and Claude. It reports adding more than 1.1 million active users in its latest fiscal year.
Compiled by RECATOOLS from public sources: vendor documentation and pricing, code repositories and published reporting.
Notable facts
- Sigma was originally incorporated as 'Bitmoon Computing' in 2014 before rebranding; it shortened its name again from 'Sigma Computing' to simply 'Sigma' in 2024.
- Sigma Agents — its no-code AI agents for warehouse-native automation — became the fastest-adopted product in the company's history within the first quarter of launch in 2026.
- Sigma's Series E strategic investors read like a who's who of the modern data stack: Databricks Ventures, ServiceNow Ventures, and Workday Ventures all bet on the same platform in a single round.
- All Sigma computation runs inside your existing warehouse — no data is ever extracted or copied to Sigma's servers, meaning your Snowflake or Databricks access controls automatically govern every query.
Frequently asked questions
About this listing
This entry was compiled from publicly available data including Sigma's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Sigma unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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