Metrics layer for
the modern data stack

DataBrain lets you create a single source of truth for your metrics so you can govern, share and operationalize them.

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With DataBrain
Without DataBrain
The Problem

Metrics are scattered all over the place

There has been an explosion of data tools and teams are defining the same metrics in every tool.

Inconsistency

Lack of central tooling has led to multiple definitions of the same metric, leaving room for errors.

No Lineage

There is a large gap between how metrics were derived and how they evolved.

Lack governance

Democratization of metrics leads to multiple definitions and silos of data.

The Solution

Unified Metrics layer

Define your metrics
in a single place

DataBrain helps you define metrics in a single location using a YAML file, so you don't have to context switch between tabs

Collaborate on business logic

Collaborate on metrics with stakeholders easily. Convert tribal knowledge to metric documentation. Never lose historical context when an employee leaves.

Share and operationalize
metrics at scale

Easily share your metrics in downstream SaaS applications, API's or Slack so consumers have access to only 1 single source of truth.

There is a need for centralized, trustworthy, and accessible metrics on the organization’s productivity that I have witnessed while working at Uber and now at Docusign.  I'm excited for DataBrain to bring headless analytics to the data world.

Suman Bhattacharya

Data Science Lead

As a company scales, every team has their own definition of a metric which often causes misalignment between teams leading to poor strategy and resulting in thousands of dollars in losses. DataBrain's elegant approach of a single source of truth with governance and operational analytics is extremely valuable

Thulasi Nambiar

Director, Marketing Data Science & Analytics

"DataBrain is solving a problem that I've experienced throughout my career in analytics, from Fortune 50 companies to early stage startups - inconsistent metrics and scattered or no definitions. This is a tool that could be slotted into any analytics stack."

Matt K

Director of Analytics

"In a fast growing company, evolving metrics to fit the new paradigm is a given. Communicating the story of before and after is key to understanding why things changed. DataBrain's approach of having a single source of truth for metrics in the modern data stack helps solve this problem and ensures everyone is on the same page."

Pranay Singal

Snr Product Analyst, Upstart

"There is a need for centralized, trustworthy, and accessible metrics on the organization’s productivity that I have witnessed while working at Uber and now at Docusign.

Metric definition and management is a critical problem for today's data driven organization. I'm excited for DataBrain to bring headless analytics to the data world."

Suman Bhattacharya

Data Science Lead, DocuSign

"As a company scales, every team has their own definition of a metric which often causes misalignment between teams leading to poor strategy and resulting in thousands of dollars in losses.

DataBrain's elegant approach of a single source of truth with governance and operational analytics is extremely valuable"

Thulasi Nambiar

Director, Marketing Data Science & Analytics, Prosper

"DataBrain is solving a problem that I've experienced throughout my career in analytics, from Fortune 50 companies to early stage startups - inconsistent metrics and scattered or no definitions. This is a tool that could be slotted into any analytics stack."

Matt K

Director of Analytics

"In a fast growing company, evolving metrics to fit the new paradigm is a given. Communicating the story of before and after is key to understanding why things changed. DataBrain's approach of having a single source of truth for metrics in the modern data stack helps solve this problem and ensures everyone is on the same page."

Pranay Singal

Snr Product Analyst, Upstart

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