BI tool comparison

Sigma vs Metabase: when to pay for BI and when open source is enough

Metabase is open source with published low pricing. Sigma is a paid, spreadsheet-first tool for warehouse data. Here is what you get for the difference.

Linus TseGreyfield DataFacts last checked November 3, 2026

Contents 10 sections

The short answer

If you need cheap, simple dashboards, want to self-host, or need basic customer-facing embeds on a budget, Metabase is hard to beat and you probably do not need Sigma. Sigma earns its price when business users need a real spreadsheet on large warehouse tables, data entry back to Snowflake, and governed workflows.

How Metabase and Sigma Computing differ

01
Free and self-hosted vs paid SaaS
Metabase has a free open-source edition and low published prices. Sigma is SaaS only, quoted by sales.
02
Query builder vs spreadsheet
Metabase uses a visual query builder and SQL. Sigma uses a formula grid that grows with the analysis.
03
Writing to the warehouse
Metabase editable tables work only on PostgreSQL and MySQL. Sigma input tables write to Snowflake and other cloud warehouses.

Pricing at a glance

Metabase

Metabase, Inc. (independent; open-source core)

Open-source BI tool with a visual query builder, SQL editor, dashboards and embedding. It is available free to self-host or as paid cloud and self-hosted plans, and suits startups and product teams that want low-cost self-service reporting.

Pricing model: Flat base fee including some users, plus per-user overage; usage-based add-ons
Published starting price: Starter $100/month (or $1,080/year) including 5 users, then $6/user/month; Pro $575/month including 10 users, then $12/user/month
Free tier: Yes: Open Source edition, self-hosted, unlimited users
What drives cost: Enterprise starts at $20,000/year. Every signed-in user counts, including embedded users. Add-ons are billed on usage: AI ($3.75 per 1M tokens, or bring your own key), transforms (1,000 runs included, then about $0.01 per run) and storage (from $2 per 1M rows). Metabase added the Storage and Advanced Transforms add-ons in Q1 2026.

Pricing source, checked November 3, 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 Metabase
Feature	Sigma Computing	Metabase
Queries the warehouse live Reads the cloud warehouse at view time, without an extract or import step.	Yes Workbooks query the connected warehouse directly; no extract engine. source	Yes Queries the database live by default, with optional result caching. source
Spreadsheet-style editing Business users work in a grid and write formulas instead of a separate modeling language.	Yes Spreadsheet grid with 200+ functions on live warehouse data. source	No Visual query builder and SQL only; no cell-formula grid. source
SQL editor Write SQL against the warehouse inside the product.	Yes Custom SQL elements in workbooks and data models. source	Yes Native SQL questions and SQL snippets, which can be versioned in the Library. source
Python Run Python inside the product.	Snowflake & Databricks only Only on Snowflake and Databricks connections; output cannot be materialized; only JWT-signed embeds are supported. source	Paid add-on Python transforms only: needs the Advanced transforms add-on, pandas only, writes tables back to the database. No interactive notebook. source
Writeback / input tables Users can enter or edit data that is saved back to the warehouse.	Yes Input tables write to a warehouse write schema. Not available on some sources (MySQL, SQL Server, Azure SQL DB, AlloyDB, Starburst, ClickHouse, MotherDuck). source	Postgres & MySQL only Editable tables (Pro/Enterprise) support PostgreSQL and MySQL only. Actions offer forms and buttons. source
Governed semantic layer Reusable, governed models and metric definitions.	Yes Data models with reusable metrics, relationships and RLS, also manageable as JSON/YAML via the API. source	Yes Data Studio (v59, Mar 2026) adds a Library of metrics, segments and measures, plus a glossary and dependency graph. UI-based. source

Sharing and governance

Sharing and governance: Sigma Computing and Metabase
Feature	Sigma Computing	Metabase
Embedded analytics Embed reports in your own app or portal for external users.	Yes JWT-signed secure embeds that pass user attributes and teams for RLS. source	Yes Modular embedding with Guest (free) or SSO, a React SDK, and full-app embedding. Deep theming and multi-tenant features need Pro. source
Scheduled delivery Scheduled email, Slack, or file delivery of reports.	Yes Email, Slack, Teams, SharePoint, Google Sheets/Drive, webhook and cloud storage. source	Yes Dashboard subscriptions and alerts by email or Slack, with CSV/XLSX or PDF attachments. source
Row-level security Restrict which rows each user can see.	Yes Based on user, team or user attribute; works in embeds via JWT claims. source	Yes Row and column security by user attribute; Pro/Enterprise only. source
Excel / CSV export Export data to Excel or CSV.	Yes Excel and CSV up to 1M rows; larger exports go to cloud storage. source	Yes CSV, XLSX, JSON and PNG for questions; PDF for dashboards. Exports are branded on lower plans. source
Git version control Content or models can be versioned in git.	Version tags + API Version tags (with protected-tag approvals) and spec APIs; no built-in git sync, so teams build their own pipeline. source	Pro plan and up Remote sync with GitHub, GitLab or Bitbucket, Pro/Enterprise only. Covers the Library and transforms, not permissions or table metadata. source

Platform

Platform: Sigma Computing and Metabase
Feature	Sigma Computing	Metabase
AI assistant Natural-language questions or AI-assisted building, generally available.	Yes 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	Yes Metabot, GA since v58 (Jan 2026). Bring-your-own LLM and an MCP server; SQL generation is included in open source. source
Open source / self-host An open-source or self-hosted option exists.	No SaaS only, hosted on AWS, Azure or GCP regions. source	Yes Free open-source edition. Paid plans can also be self-hosted. source
Needs a desktop app to author "Yes" means some authoring requires installing a desktop application.	No Authoring is entirely in the browser. source	No Web application. source

Cost and hosting

Metabase has a free open-source edition you can self-host with unlimited users, and published cloud plans that start at a low monthly price with a few users included. Sigma is SaaS only, has no free tier, and is sold through annual contracts.

For a startup or a small team, that difference alone often settles it.

How people build reports

Metabase uses a notebook-style visual query builder and a SQL editor. It is easy for anyone to ask a simple question, and analysts can drop into SQL for the rest.

Sigma uses a spreadsheet grid. Users add columns, write formulas, pivot, and build on earlier steps, which suits finance and operations work that grows past what a query builder can express.

Write-back and governance

Metabase editable tables need a paid plan and work only on PostgreSQL and MySQL, so they will not write to Snowflake. Row and column security, SSO, and git sync also need Pro or Enterprise.

Sigma input tables write to Snowflake, Databricks, BigQuery, and other warehouses, and row-level security is part of the product.

AI and embedding

Metabase has moved fast here: its AI assistant works with your own model key, AI SQL generation and an MCP server are in the open-source edition, and basic signed embeds are free. Sigma’s AI agents and embedding come with the paid platform.

Where Metabase is better

Open source and self-hostable, with a free edition that has unlimited users. Sigma is SaaS-only.
Published pricing: Starter from $100/month including 5 users, with low per-user add-on rates.
AI is free in the open-source edition: since 2026, Metabot works with your own LLM key (Anthropic, OpenAI, Bedrock, Azure or a self-hosted model) and there is an official MCP server.
Guest (JWT-signed) embedding is free in the open-source edition, which lowers the cost of basic customer-facing analytics.
Remote sync stores the Library and transforms in GitHub, GitLab or Bitbucket for a pull-request workflow between dev and prod instances (Pro/Enterprise).

Who should pick which

Pick Metabase if

You want BI for free or for a low, published monthly price.
You need to self-host inside your own infrastructure.
You are embedding basic customer-facing dashboards on a tight budget.
Your users mostly need simple charts and SQL, not spreadsheet modeling.

Pick Sigma Computing if

Finance and operations users need spreadsheet formulas on large warehouse tables.
Users must enter or adjust data that is saved to Snowflake or another cloud warehouse.
You need row-level security, scheduled delivery, and governed data models without stacking add-ons.
Reports have outgrown what a query builder can express without SQL.

Recommendations by team

If you are	Pick	Why
Early-stage startup	Metabase	Free or low monthly cost, and quick to set up.
SaaS company embedding basic dashboards	Metabase	Signed embeds are free in the open-source edition.
Finance team on Snowflake	Sigma Computing	Spreadsheet modeling and data entry back to Snowflake.
Company that must self-host	Metabase	Both the free and paid editions can be self-hosted.

Recent changes to Metabase

2026-01 v58: Metabot out of beta. Embedding consolidated into Modular (Guest/SSO) and Full-app; static and interactive embedding were renamed.source
2026-02 New usage-based add-ons for storage and Advanced Transforms (SQL + Python), per third-party pricing tracker.source
2026-03 v59: Data Studio semantic layer (Library, glossary, dependency graph, transforms). AI SQL generation added to open source.source
2026-04 v60: AI tools open-sourced, official MCP server, bring-your-own Anthropic key, Metabot in Slack.source
2026-07 v63: Metabot supports OpenAI, Bedrock and Azure; CSV uploads to Snowflake; PDF subscription attachments.source
2026-10 v64-65: bigger MCP server, self-hosted open models via vLLM, and data apps in beta.source

Questions people ask

Does Sigma replace Metabase?

Yes, if business users have outgrown the query builder and need spreadsheet modeling or data entry on Snowflake. No, if your needs are simple dashboards and cost or self-hosting matter most.

Is Metabase good enough for a company on Snowflake?

For dashboards and SQL questions, yes. It queries Snowflake live. The gaps show up when business users need spreadsheet-style modeling or data entry back into Snowflake.

Can I start on Metabase and move to Sigma later?

Yes. If your logic lives in warehouse tables or dbt models rather than inside Metabase questions, switching BI tools later is much easier.

Sources and corrections

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