What Is Stripe Sigma? Features, Pricing & Limitations (2026)

If you have ever opened your Stripe Dashboard looking for a specific metric - say, MRR broken down by country, or which pricing plan drives the most expansion revenue - and found the built-in reports just would not go far enough, you have probably stumbled across Stripe Sigma.

Sigma is Stripe's answer to custom reporting. It gives you direct SQL access to your Stripe data, lets you build custom queries, and turns results into charts you can save and share. For teams with a dedicated analyst or data engineer, it is genuinely powerful.

But Sigma also comes with real limitations that are easy to miss until you are deep into a project. This guide covers everything you need to know before deciding whether Stripe Sigma is right for your business - or whether a no-code alternative might serve you better.

What Is Stripe Sigma?

Stripe Sigma is an add-on analytics product built into the Stripe Dashboard that lets you query your Stripe data using SQL. Instead of being limited to Stripe's default reports, Sigma gives you access to raw tables - subscriptions, invoices, customers, payments, charges - and lets you write queries to extract exactly the data you need.

Think of it as a lightweight SQL IDE that lives inside Stripe. You write a query, run it, inspect the results, optionally turn those results into a chart, and save the query for future use.

It does not require setting up a separate data warehouse or moving data to another system. Everything runs against your live Stripe data in real time.

Stripe Sigma Features

Custom SQL Queries

Sigma's core feature is unrestricted SQL access to your Stripe data. The schema is well-documented and includes tables for:

customers - all customer records
subscriptions - active, canceled, trialing, and paused subscriptions
invoices - every invoice Stripe has generated
charges - individual payment attempts
payment_intents - payment flow data
refunds, disputes, payouts, and more

You can JOIN across these tables, filter by date ranges, group by any field, and use standard SQL aggregations. If you already know SQL, you can get meaningful results in minutes.

AI-Assisted Query Writing

Stripe has added an AI assistant to Sigma that helps you write SQL. You describe what you want in plain English - "show me MRR by plan for the last 6 months" - and the AI drafts a query you can edit and run. This lowers the bar for non-technical users, but the output still requires SQL validation before you trust the numbers.

Scheduled Reports

Queries can be scheduled to run automatically on a daily, weekly, or monthly cadence. Results are emailed as CSV attachments. This is useful for recurring reports that your team checks regularly.

Saved Queries and Charts

Once you have a query you are satisfied with, you can save it, assign it a name, and optionally visualize the results as a bar chart, line chart, or pie chart. Saved queries persist in your Sigma dashboard, so you can re-run them anytime without rewriting from scratch.

Template Library

Stripe provides a library of pre-built query templates covering common SaaS metrics: MRR trends, churn analysis, subscription growth, failed payment rates, and more. These templates are a useful starting point, though most require customization for your specific data model.

Stripe Sigma Pricing

Stripe Sigma is not included in the standard Stripe account. It is a paid add-on priced based on your monthly query volume.

Pricing is charged per query row processed:

Plan	Price
Pay-as-you-go	Approximately $0.02 per 1,000 rows queried

For most small to mid-sized SaaS businesses running occasional reports, the monthly cost stays under $50. For large businesses with heavy query loads or very large datasets, costs can grow significantly.

Important: Sigma is only available on Stripe's standard and higher-tier accounts. It is not available for Stripe Connect platforms or Stripe Terminal-only setups.

What Stripe Sigma Does Well

Deep Data Access

No other built-in Stripe tool gives you this level of access to your raw data. If your questions require precise joins across invoices, subscriptions, and customer metadata, Sigma can answer them.

Live Data

Queries run against your real-time Stripe data. There is no sync delay, no export-and-import workflow, and no risk of analyzing stale numbers.

Native to Stripe

Because Sigma lives inside Stripe, there is no third-party integration to set up. Your data never leaves Stripe's infrastructure.

Flexible for Analysts

For technical users, Sigma is one of the most flexible reporting options available directly in a payment platform. The schema is clean, the documentation is solid, and the SQL interface is familiar.

Stripe Sigma Limitations

SQL Is Required (Even With AI Assistance)

Despite the AI query helper, Sigma fundamentally remains a SQL tool. You need to understand table relationships, know how Stripe structures its data model, and be comfortable debugging queries when results do not look right.

For non-technical founders, operators, and marketers - who are often the people asking the most important business questions - Sigma creates a bottleneck. Every insight requires either learning SQL or waiting for someone technical to write the query.

Stripe Data Only

Sigma only queries data that lives inside Stripe. If your business uses Paddle for billing, has product usage events in a separate database, or stores customer attributes in a CRM, none of that data is available in Sigma. Insights are limited to what Stripe knows.

This is a significant limitation for SaaS businesses that need to connect payment behavior with product usage, marketing data, or support history.

Manual Visualization

Sigma can render basic charts from query results, but they are minimal. There is no drag-and-drop dashboard builder, no way to combine multiple charts into a single view, and limited customization for how charts look. If you want to build a polished, shareable dashboard, you will typically need to export data to another tool.

No SaaS Metric Pre-Calculation

Stripe Sigma gives you the raw data - but calculating SaaS metrics like MRR, ARR, LTV, churn rate, net revenue retention, and cohort analysis requires writing the right SQL logic yourself. Small errors in how you handle trials, prorations, or cancellations compound quickly and lead to misleading numbers.

No Narrative or Context

Sigma returns tables and basic charts. It does not explain why a metric changed, surface anomalies automatically, or tell you what to pay attention to. Interpreting results is entirely up to you.

Who Should Use Stripe Sigma?

Stripe Sigma is a strong fit for:

Companies with an in-house data analyst or data engineer who can own the SQL queries
Technical founders who are comfortable writing and debugging SQL
Teams already using Stripe as their only payment processor and do not need multi-source data
Businesses that need highly custom, one-off reports that no packaged analytics tool covers

Sigma is a poor fit for:

Founders and operators who need fast answers without writing queries
Non-technical teams who want to explore data interactively
SaaS businesses using both Stripe and Paddle (Sigma cannot combine both)
Teams who want pre-calculated SaaS metrics (MRR, churn, LTV) without custom SQL logic

Stripe Sigma vs. No-Code Alternatives

For teams that want the output of Sigma - clear charts, accurate SaaS metrics, custom views of their revenue data - without the SQL requirement, no-code analytics tools like Chartsy are worth considering.

Chartsy connects directly to your Stripe (and Paddle) account and lets you ask questions in plain English:

"What is my MRR by plan for the last 6 months?" "Show churn broken down by country." "Which customers upgraded last quarter?"

Instead of writing a query, validating joins, and manually building a chart, you get an instant visualization with a narrative summary. Pre-calculated SaaS metrics - MRR, ARR, LTV, churn rate, NRR, cohort analysis - are built in.

	Stripe Sigma	Chartsy
Access to data	SQL queries	Natural language
Technical requirement	SQL knowledge required	None
Pre-calculated SaaS metrics	No - build your own	Yes - MRR, LTV, churn, cohorts
Multi-payment support	Stripe only	Stripe + Paddle
Time to first insight	5–30 minutes	Under 30 seconds
Dashboard builder	Basic	Full, flexible
Ideal user	Analysts / engineers	Founders, operators, finance

Frequently Asked Questions

Does Stripe Sigma require coding knowledge?

Yes. Sigma requires SQL to write meaningful queries. Stripe's AI assistant can generate starter queries, but validating and customizing them still requires SQL familiarity.

Is Stripe Sigma free?

No. Sigma is a paid add-on, priced at approximately $0.02 per 1,000 query rows processed. Monthly costs vary based on how frequently you run queries and the size of your dataset.

Can Stripe Sigma calculate MRR automatically?

Not automatically. You need to write SQL logic that correctly handles trials, cancellations, prorations, and plan changes to get an accurate MRR figure. Pre-built templates exist but often need customization.

Does Stripe Sigma work with Paddle?

No. Stripe Sigma only queries data stored in your Stripe account. If you use Paddle or any other payment processor, that data is not available in Sigma.

What is the best no-code alternative to Stripe Sigma?

For teams that want custom analytics without SQL, Chartsy connects directly to Stripe and Paddle, pre-calculates all core SaaS metrics, and lets you ask questions in plain English to generate instant charts and dashboards.

The Bottom Line

Stripe Sigma is a genuinely useful tool for teams with SQL expertise and complex, custom reporting needs. If you have a data analyst and your billing lives entirely in Stripe, it is worth the cost.

But if your goal is to understand your MRR, churn, and revenue trends without writing SQL - or if you need to combine Stripe and Paddle data, or share clean dashboards with investors or teammates - a purpose-built analytics tool gets you there faster.

Connect your Stripe account to Chartsy and get instant SaaS metrics without writing a single query →