BI tool comparison

Sigma vs Tableau: an honest comparison from a consultant who builds both

How Sigma and Tableau differ on warehouse queries, who can build reports, write-back, self-hosting, and pricing, with every claim linked to its source.

Linus TseGreyfield DataFacts last checked November 3, 2026

Contents 10 sections

The short answer

If your data already lives in Snowflake or Databricks and the people asking questions think in spreadsheets, Sigma is usually the better fit. Pick Tableau if you need the most control over visual design, have to self-host, want a published entry price, or run on Salesforce. We sell Sigma consulting, and we have also shipped Tableau work for clients, including a customer-facing analytics product.

How Tableau and Sigma Computing differ

01
Live queries vs extracts
Sigma always queries your warehouse, so there are no extracts to refresh. Tableau lets you choose live or in-memory extracts, which are fast and save warehouse compute but add a refresh job.
02
Spreadsheet vs visual shelves
Sigma users work in a formula grid that feels like Excel. Tableau authors drag fields onto shelves, which gives more design control and takes longer to learn.
03
Write-back is built in
Sigma input tables save forecasts, approvals, and edits to the warehouse. Tableau needs a paid third-party extension for that.

Pricing at a glance

Tableau

Salesforce (acquired 2019)

Long-established visual analytics platform, sold as Tableau Cloud (SaaS), Tableau Server (self-hosted), Tableau Desktop and the newer Agentforce-based Tableau Next. Built for analysts who author highly customized interactive visualizations, often across many data sources, using live connections or in-memory extracts.

Pricing model: Per user, annual contract (also capacity-based viewer blocks on Cloud and 8-core compute licensing on Server)
Published starting price: $15/user/month billed annually (Tableau Standard, starting price); Enterprise from $35; Tableau Next from $40/user/month
Free tier: Yes: Tableau Desktop Free Edition (local files, cannot publish or share) and Tableau Public; also a free trial
What drives cost: Tableau's pricing page shows edition starting prices only: Standard $15, Enterprise $35, Cloud+/Server+/Tableau+ via sales. Third-party licensing advisor Redress Compliance (updated Sept 2026) lists per-role prices of Creator $75 / Explorer $42 / Viewer $15 on Standard and $115 / $70 / $35 on Enterprise, per user per month billed annually. AI (Tableau Agent) on Cloud requires Cloud+ / Tableau+.

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 Tableau
Feature	Sigma Computing	Tableau
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 Live connections to Snowflake, BigQuery, Redshift and others, or in-memory extracts; the author chooses. 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 Authoring uses visual shelves and calculated fields, not a spreadsheet-style formula grid. source
SQL editor Write SQL against the warehouse inside the product.	Yes Custom SQL elements in workbooks and data models. source	Custom SQL source only Custom SQL data sources, limited to a single SELECT statement that Tableau wraps in its own queries. Not a full SQL workspace. 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	Via TabPy Python runs through TabPy analytics extensions, which you host yourself, called from table calculations. Supported on Cloud and Server. 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	Third-party extension Not native. Available only through paid third-party extensions on Tableau Exchange, such as Write-Back Cloud. 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 Published data sources and virtual connections; Tableau Semantics models in Tableau Next (Semantic Model Builder GA August 2026). source

Sharing and governance

Sharing and governance: Sigma Computing and Tableau
Feature	Sigma Computing	Tableau
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 Embedding API v3 and connected apps with JWT; per-user or usage-based embedded pricing via sales (per third-party review). 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 Email subscriptions with PNG/PDF on a schedule or after extract refresh; Slack app for alerts and sharing. 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 User filters, database RLS on live connections, JWT user attributes for embeds; centralized data policies need the Data Management add-on. 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 Crosstab download to .xlsx or CSV, if the author allows it (described by a third-party guide). 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	Partly Workbooks have revision history (restore and notes) but no git. The Tableau Semantics DX extension adds git and CI/CD for Tableau Next semantic models only. source

Platform

Platform: Sigma Computing and Tableau
Feature	Sigma Computing	Tableau
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	Tableau+ edition on Cloud Tableau Agent is GA in web authoring, but on Cloud it requires the Tableau+ edition. Tableau Agent in Dashboards was still beta in 2026. 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 Tableau Server is self-hosted on Windows or Linux; not open source. source
Needs a desktop app to author "Yes" means some authoring requires installing a desktop application.	No Authoring is entirely in the browser. source	Partly Web authoring covers most work, but some features (such as actions, Viz in Tooltip setup, clusters and forecasts) need Tableau Desktop. source

They query your data in different ways

Sigma has no extract engine. Every chart and table runs as a query against your warehouse when someone opens it, so the numbers are as fresh as the warehouse and there is no extract schedule to maintain.

Tableau lets the author choose between a live connection and an in-memory extract. Extracts make busy dashboards fast and keep repeated queries off your warehouse bill. They also add a refresh job that can fail or go stale.

That difference shows up in cost. With Sigma, more usage means more warehouse compute. With Tableau extracts, much of that load moves onto Tableau. If your warehouse spend is already under scrutiny, model both before deciding.

Who can build reports

Sigma looks like a spreadsheet. Finance and operations people can add columns, write formulas, group, and pivot on billions of rows without learning a modeling language. That is the main reason teams move to it.

Tableau authoring uses shelves, marks, and calculated fields. Analysts who learn it can build things Sigma cannot, and the pool of experienced Tableau developers is far larger. Business users who just want to adjust a report often end up exporting to Excel instead.

Write-back and workflows

Sigma input tables let users type or edit data that is stored in the warehouse, which makes forecasts, approvals, and adjustments possible inside the report. Tableau has no native equivalent; teams buy third-party extensions for it.

If your reports end in a spreadsheet where someone types a plan, a comment, or an override, that is the strongest argument for Sigma.

Pricing

Tableau publishes starting prices on its pricing page, and a free Desktop edition works on local files. Its per-role prices are no longer shown there, and AI features on Tableau Cloud need a higher edition.

Sigma does not publish prices. Third-party buyer data puts the median contract in the tens of thousands of dollars a year, which is directional at best. Ask both vendors for a quote built on your actual user mix, and add the warehouse compute Sigma will drive.

If you are already on Tableau

Most of the effort in a move is not rebuilding charts. It is finding which calculations people rely on, how filters behave, and which dashboards nobody uses anymore. Start with one representative workbook before you commit to moving everything. Our Tableau to Sigma migration service and the Tableau calculations cheat sheet cover how we do it.

Where Tableau is better

Deeper visualization flexibility and polish than Sigma, with many years of chart types, mapping (such as drive-time areas added in 2026) and formatting control
Self-hosted option (Tableau Server, including container builds on Server+); Sigma is SaaS only
In-memory extracts let dashboards run fast and avoid warehouse compute costs on repeated queries; Sigma always queries the warehouse
Published list prices: Standard starts at $15 per user per month, and a free Tableau Desktop edition is available for local files
Much larger community, training ecosystem and talent pool (Tableau Public, user groups, certifications)
Native ties to Salesforce, Slack and Agentforce for teams already on Salesforce
Works with almost any data source, including on-premises databases through Tableau Bridge

Who should pick which

Pick Tableau if

You need pixel-level control over complex visualizations or maps.
You must run BI on your own servers or in your own cloud account.
Your data is spread across sources that are not in a cloud warehouse, and extracts help.
You are standardized on Salesforce and want analytics tied into Agentforce and Slack.
You need to hire experienced developers quickly.

Pick Sigma Computing if

Your data is already in Snowflake, Databricks, or BigQuery and you want no extracts to maintain.
Finance and operations users live in Excel and want to work on live warehouse data.
Reports need to collect input: forecasts, approvals, comments, or adjustments saved to the warehouse.
You want SQL and Python in the same workbook as the spreadsheet view.

Recommendations by team

If you are	Pick	Why
Finance team on Snowflake	Sigma Computing	Spreadsheet formulas on live data, plus input tables for forecasts and adjustments.
Analytics team building polished executive or public dashboards	Tableau	More visual control, more chart types, and Tableau Public for sharing.
Company that must self-host BI	Tableau	Tableau Server runs on your own infrastructure. Sigma is SaaS only.
Salesforce-centric company	Tableau	Native ties to Salesforce, Slack, and Agentforce.
Operations team that plans in spreadsheets	Sigma Computing	Plans and overrides are typed into the report and saved to the warehouse.
Team with data in many non-warehouse sources	Tableau	Extracts and Tableau Bridge handle sources that are not in a cloud warehouse.

Recent changes to Tableau

2025 Tableau Next launched at Tableau Conference 2025: an agentic analytics product built on the Salesforce Agentforce platform.source
2026-01 January 2026 release: Tableau Agent added to Tableau Server (needs your own OpenAI API keys), dashboard narratives beta, and AI-generated semantic models.source
2026-05 Announced an agentic analytics platform with an AI knowledge layer at Tableau Conference 2026 (San Diego). GA planned for later in 2026, with deeper Salesforce integration in early 2027.source
2026-08 August 2026 release: Semantic Model Builder GA in Tableau Next, Semantics DX extension with git/CI-CD, hosted Tableau MCP announced as coming soon, and Tableau Agent in Dashboards beta.source
2026 Pricing page restructured around Standard / Enterprise / Cloud+ / Server+ / Tableau+ editions, with Tableau Next listed at $40 per user per month.source

Questions people ask

Does Sigma replace Tableau?

Yes, if your data is in a supported cloud warehouse, you can run BI as SaaS, and most users want to explore and edit reports themselves. No, if you rely on Tableau Server on your own infrastructure, need complex custom visualizations, or have important data outside a warehouse.

Is Sigma cheaper than Tableau?

It depends on your user mix and your warehouse. Tableau publishes starting prices and Sigma does not. Sigma also drives warehouse compute on every query, while Tableau extracts can avoid some of it. Get quotes for the same set of users and estimate warehouse cost before comparing.

Can Sigma replace Tableau Server?

Only if you can move to a hosted service. Sigma runs only as SaaS on AWS, Azure, or Google Cloud regions, and it needs your data in a supported cloud warehouse or database.

Does Sigma use extracts like Tableau?

No. Sigma queries the connected warehouse directly every time. There is no extract engine to schedule or refresh.

How long does a Tableau to Sigma migration take?

It depends mostly on how many shared calculations and data sources the dashboards depend on, not on the number of dashboards. Our migration timeline guide breaks down what drives it.

Sources and corrections

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