Headless Business Intelligence

Supergrain is the API-first BI platform that helps data teams manage and integrate metrics across every application.

Built for modern data teams

Gleb Mezhanskiy

Co-founder @ Datafold

Metric definition and management is a big problem in the modern data stack. I am excited for Supergrain’s developer-first approach of solving it!”

Sarah Krasnik

Data Engineer @ Perpay

I'm excited for Supergrain to help data teams centralize their metrics, especially in their API-first developer-centric approach.

Scott Breitenother

Founder @ Brooklyn Data Co.

At Brooklyn Data we're seeing a diverse group of data consumers across our client organizations. We're excited for Supergrain to provide a universal source of truth to power use cases across traditional BI, notebooks, reverse ETL, and data science.

Amit Pahwa

Former Tech Lead, Metric Infrastructure @ Airbnb

At Airbnb, I saw firsthand the impact of centralized, trustworthy, and accessible metrics on the organization’s productivity. I am super excited for Supergrain to bring API-first analytics to other organizations so they can reap the same benefits.

Gustav Lindqvist

Chief Data Officer @ Mediatopia

Supergrain lets me easily develop and maintain source-of-truth metrics, which is such an essential yet so overlooked and mismanaged part of a great data stack.

Zach Friedman

Product Manager, Data @ Immuta

For modern data teams, the ability to properly model their metrics unambiguously, in a single place, as code, represents huge productivity gains. I’m excited for data teams to now be able to take advantage of these benefits with Supergrain.

Gleb Mezhanskiy

Co-founder @ Datafold

Metric definition and management is a big problem in the modern data stack. I am excited for Supergrain’s developer-first approach of solving it!

Sarah Krasnik

Data Engineer @ Perpay

I'm excited for Supergrain to help data teams centralize their metrics, especially in their API-first developer-centric approach.

Scott Breitenother

Founder @ Brooklyn Data Co.

Amit Pahwa

Former Tech Lead, Metric Infrastructure @ Airbnb

Gustav Lindqvist

Chief Data Officer @ Mediatopia

Supergrain lets me easily develop and maintain source-of-truth metrics, which is such an essential yet so overlooked and mismanaged part of a great data stack.

Zach Friedman

Product Manager, Data @ Immuta

Define your metrics centrally

Supergrain’s metrics framework enables data analysts to create source-of-truth, reusable definitions while maintaining the expressiveness and flexibility of SQL.

Learn about our metrics framework

metrics:

- metric: revenue

sql: ${TABLE}.amount

type: sum

dimensions:

- dimension: order_date

sql: ${TABLE}.order_date

type: time

GET orders.revenue BY MONTH(orders.order_date)

‍SELECT DATE_TRUNC(‘MONTH’, t1.order_date) AS month,

SUM(t1.amount) AS revenue

FROM raw_payments t1

LEFT JOIN raw_orders t2 ON t1.order_id = t2.id

WHERE t1.payment_method != 'discount_code'

GROUP BY 1

Query metrics confidently and reliably

Supergrain Query Language (SGQL) is a SQL-like language that enables teams to answer business questions without worrying about joins, aggregations, or data model quirks.

Learn about querying metrics

The best business intelligence USA-Supergrain

Develop fast and iteratively

Supergrain ships with an interactive CLI and sandbox environment for rapidly developing and testing metrics, enabling data teams to work more efficiently.

Learn about our development workflow

curl -s --request GET --url URL --header 'Authorization:

Bearer TOKEN --data ' {

"query": {

"sgql": "GET revenue BY MONTH(orders.order_date)"

}

Empower your team with API-first analytics

Build simple workflows and self-service analytical applications on the Supergrain platform. Metrics served via our Open API are reliable, consistent, and interoperable by design.

Learn about our Open API