Sigma vs Domo: warehouse-native BI or an all-in-one data platform?

Sigma vs Domo: Domo bundles connectors, ETL, storage and dashboards with credit pricing. Sigma runs on your own warehouse. Which fits depends on your stack.

Linus TseGreyfield DataFacts last checked November 9, 2026

Contents 10 sections

The short answer

Pick Domo if you do not have a cloud warehouse and want one vendor to connect, transform, store and chart your data, with no per-user fees. Pick Sigma if your data already lives in Snowflake, Databricks or another cloud warehouse and your users want a live spreadsheet on it with input tables.

How Domo and Sigma Computing differ

1. Where the data lives
Domo usually loads data into its own platform, with Cloud Amplifier for data that stays in a warehouse. Sigma always queries your warehouse and stores nothing of its own.
2. How you pay
Domo charges consumption credits with no per-user fees. Sigma sells annual contracts quoted by sales.
3. Spreadsheet and input
Sigma’s spreadsheet grid and input tables are core features. Domo announced Worksheets in 2026 without a stated release date.

Pricing at a glance

Domo

Domo, Inc.

All-in-one cloud data platform: 1,000+ connectors, visual and SQL transformation (Magic ETL, SQL DataFlows), storage, dashboards, apps and AI agents in one product. Data is usually loaded into Domo, with Cloud Amplifier for working on data that stays in Snowflake and other warehouses. Priced on consumption credits rather than seats.

Pricing model: Consumption credits on a custom contract; no per-user fees
Published starting price: Not published
Free tier: No free tier; 30-day free trial, no credit card required
What drives cost: Domo's pricing page shows a 30-day trial and a custom plan, with no dollar figures. Its pricing guide lists credit use: 1 credit per table created or updated on ingestion, 1 to 3 credits per ETL output table, storage free if you bring your own warehouse (otherwise credits per million rows per month), and about 100 credits a month per external end-user account. Cost per credit falls with larger commitments.

Pricing source, checked November 9, 2026

Sigma Computing

Sigma Computing, Inc. (private, venture-backed; $80M Series E at a $3B valuation, May 2026)

Cloud BI and data-app platform that runs queries live against a cloud warehouse (Snowflake, Databricks, BigQuery, Redshift and others) through a spreadsheet-style interface, with write-back input tables, Python/SQL and AI agents. Built for companies that already keep their data in a cloud warehouse and want business users to work on it without extracts.

Pricing model: Annual subscription: platform tier plus per-user licenses (Creator / Explorer / Viewer, per third-party buyer data)
Published starting price: Not published
Free tier: No; 7-day free trial with sample data or your own warehouse
What drives cost: Sigma's pricing page shows no prices and sends buyers to sales. Vendr buyer data (third-party, directional only) lists Essential, Business and Enterprise tiers, Creator licenses at roughly $1,200-$5,000+ per year depending on tier, and a median contract of about $65K per year (range ~$15.6K-$145K). Warehouse compute is billed separately by your warehouse vendor.

Pricing source, checked November 3, 2026

Feature comparison

"Not verified" means we could not confirm it from public docs, not that the feature is missing. Each cell links to the page we checked.

Data and querying

Data and querying: Sigma Computing and Domo
Feature	Sigma Computing	Domo
Queries the warehouse live Reads the cloud warehouse at view time, without an extract or import step.	Sigma ComputingYes Workbooks query the connected warehouse directly; no extract engine. source	DomoVia Cloud Amplifier Cloud Amplifier works on data in Snowflake, Redshift, Databricks, BigQuery or Dremio without copying it. Loading data into Domo is the default model. source
Spreadsheet-style editing Business users work in a grid and write formulas instead of a separate modeling language.	Sigma ComputingYes Spreadsheet grid with 200+ functions on live warehouse data. source	DomoAnnounced 2026 Worksheets, a spreadsheet-style environment for ad hoc analysis, was announced in April 2026; Domo did not state its availability. source
SQL editor Write SQL against the warehouse inside the product.	Sigma ComputingYes Custom SQL elements in workbooks and data models. source	DomoYes SQL DataFlows for custom SQL transformations, next to visual Magic ETL. source
Python Run Python inside the product.	Sigma ComputingSnowflake & Databricks only Only on Snowflake and Databricks connections; output cannot be materialized; only JWT-signed embeds are supported. source	DomoYes Jupyter Workspaces for Python and R notebooks and models. source
Writeback / input tables Users can enter or edit data that is saved back to the warehouse.	Sigma ComputingYes Input tables write to a warehouse write schema. Not available on some sources (MySQL, SQL Server, Azure SQL DB, AlloyDB, Starburst, ClickHouse, MotherDuck). source	DomoPartly Data writeback pushes data into business tools and warehouses from pipelines. We found no documented input-table feature for user data entry. source
Governed semantic layer Reusable, governed models and metric definitions.	Sigma ComputingYes Data models with reusable metrics, relationships and RLS, also manageable as JSON/YAML via the API. source	DomoPartly Beast Modes and Beast Mode Manager for reusable metrics, plus DataSet Views. Domo's features page does not describe a full semantic layer. source

Sharing and governance

Sharing and governance: Sigma Computing and Domo
Feature	Sigma Computing	Domo
Embedded analytics Embed reports in your own app or portal for external users.	Sigma ComputingYes JWT-signed secure embeds that pass user attributes and teams for RLS. source	DomoYes Embedded analytics for external users; external end-user accounts consume credits. source
Scheduled delivery Scheduled email, Slack, or file delivery of reports.	Sigma ComputingYes Email, Slack, Teams, SharePoint, Google Sheets/Drive, webhook and cloud storage. source	DomoYes Scheduled reports by email and alerts by web, email or mobile. source
Row-level security Restrict which rows each user can see.	Sigma ComputingYes Based on user, team or user attribute; works in embeds via JWT claims. source	DomoYes Personalized data permissions (PDP) restrict rows per user or group. source
Excel / CSV export Export data to Excel or CSV.	Sigma ComputingYes Excel and CSV up to 1M rows; larger exports go to cloud storage. source	DomoYes Reports and dashboards export to Excel and other formats. source
Git version control Content or models can be versioned in git.	Sigma ComputingVersion tags + API Version tags (with protected-tag approvals) and spec APIs; no built-in git sync, so teams build their own pipeline. source	DomoNot verified We found no git integration on Domo's pages. Sandbox environments separate development from production.

Platform

Platform: Sigma Computing and Domo
Feature	Sigma Computing	Domo
AI assistant Natural-language questions or AI-assisted building, generally available.	Sigma ComputingYes Sigma Assistant answers natural-language questions and shows its SQL; requires an AI provider set up for the org. Some AI surfaces, such as homepage chat, are still beta. source	DomoYes Domo AI chat and natural-language queries. AI Agent Builder and an MCP Server were announced in March 2026. source
Open source / self-host An open-source or self-hosted option exists.	Sigma ComputingNo SaaS only, hosted on AWS, Azure or GCP regions. source	DomoNot verified We found no self-hosted option on Domo's pages. Workbench is an on-premises agent for moving data into Domo, not a self-hosted Domo.
Needs a desktop app to author "Yes" means some authoring requires installing a desktop application.	Sigma ComputingNo Authoring is entirely in the browser. source	DomoNo Dashboards and apps are built in the cloud product. Workbench, an optional on-premises tool, only syncs data from local systems. source

Two different shapes of product

Domo is a full data platform: more than 1,000 connectors, Magic ETL and SQL DataFlows, storage, dashboards, apps and AI agents in one product. For a company with no warehouse and no data engineers, that is a real advantage, because one contract covers the whole path from source to dashboard.

Sigma is only the analysis layer. It assumes you already have a cloud warehouse and tools to load it, and it runs every query there. That keeps one copy of the data, but it means you need the warehouse first.

Working on warehouse data

Domo can work on data that stays in Snowflake, Redshift, Databricks, BigQuery or Dremio through Cloud Amplifier, and it added more Snowflake processing options in 2025. Its Cloud Amplifier page lists Snowflake as read/write and the others as read-only, though that page dates from 2023.

In Sigma there is no other mode: workbooks always query the warehouse live, and input tables write to a schema in it.

Pricing

Domo prices in credits. Its guide lists, for example, one credit per table ingested or updated and one to three credits per ETL output table, with no charge for internal users. That makes wide rollouts cheap in seats but ties the bill to how often data refreshes.

Sigma does not publish prices and sells annual contracts; third-party buyer data shows user licenses by type. Your warehouse vendor bills the compute separately. Domo offers a 30-day trial; Sigma offers 7 days.

Building analysis

Sigma’s spreadsheet grid is how most of its users work, with formulas, pivots, SQL and Python on Snowflake or Databricks in the same workbook. Domo users build cards with Beast Mode calculations, and Domo has Jupyter Workspaces for Python and R.

If you already run Snowflake, our Snowflake consulting and Sigma consulting pages describe how we set up both together.

Where Domo is better

No per-user charges: Domo prices on consumption credits, so adding internal viewers does not add seat costs (external end-user accounts do consume credits)
Works without a warehouse: 1,000+ prebuilt connectors, Magic ETL and SQL DataFlows load and shape data inside Domo, where Sigma needs a supported cloud warehouse
30-day free trial with no credit card, against Sigma's 7-day trial
App building beyond dashboards: App Studio, Domo Bricks and Workflows
Python and R through Jupyter Workspaces, not tied to one warehouse vendor
Native mobile app for viewing dashboards
AI Agent Builder and a Domo MCP Server for Claude, Gemini and ChatGPT were announced in March 2026

Who should pick which

Pick Domo if

You have no cloud warehouse and want connectors, ETL, storage and dashboards from one vendor.
You want to give many internal users access without per-seat fees.
You want to build lightweight apps and workflows next to dashboards.
You want a longer free trial before committing.

Pick Sigma Computing if

Your data already lives in Snowflake, Databricks, BigQuery or Redshift and should stay there.
Finance users want a live spreadsheet on warehouse data.
Planning or approval workflows need input saved straight to the warehouse.
You want a bill that does not move with data refresh and ETL volume.

Recommendations by team

If you are	Pick	Why
Mid-size company with no data team or warehouse	Pick: Domo	One vendor covers ingestion, transformation, storage and dashboards.
Finance or FP&A team on Snowflake	Pick: Sigma Computing	A live spreadsheet and input tables on the warehouse they already pay for.
Company rolling dashboards out to hundreds of viewers	Pick: Domo	No per-user fees under credit pricing.
Data team that wants one copy of the data	Pick: Sigma Computing	Sigma queries the warehouse and stores nothing of its own.

Recent changes to Domo

2025-08 Snowflake integration enhancements reached general availability, including running work directly in Snowflake and simpler write setup.source
2026-03 Announced AI Agent Builder, AI Toolkits, an AI Library and a Domo MCP Server for external AI platforms at Domopalooza 2026.source
2026-04 Recapped Domopalooza 2026 releases, including Worksheets (spreadsheet-style analysis), Report Builder, Workspaces and User Impersonation; Domo said availability varies by feature.source

Questions people ask

Is Sigma cheaper than Domo?

Neither publishes dollar prices, so it depends on your usage. Domo charges credits for ingestion, ETL, storage and external users, but not for internal seats. Sigma quotes annual contracts that third-party data shows are built on user licenses, and your warehouse bills compute. A team with many viewers and light data refreshes may pay less on Domo; a small team on an existing warehouse may pay less on Sigma.

Can Domo query Snowflake live like Sigma?

Partly. Domo’s Cloud Amplifier works on data in Snowflake and other warehouses without copying it, but loading data into Domo is still its default model. Sigma always queries the warehouse.

Does Domo have a spreadsheet interface?

Domo announced Worksheets, a spreadsheet-style environment, at Domopalooza 2026, but did not state when it would be available. Sigma’s spreadsheet grid is its main interface.

Do I need a data warehouse to use Sigma?

Yes. Sigma has no storage engine of its own, so it needs a supported cloud warehouse or database. If you do not have one, Domo or a warehouse project comes first.

Sources and corrections

We checked these pages on the dates shown. Products change quickly. If you work at Domo and something here is wrong or out of date, email linus@greyfielddata.com and we will fix it.