From Silos to Data Stack in minutes

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The Problem

Data is stuck in silos

Your customers aren't waiting for you to hire a data team

Fragmented data

Data tools in the modern data stack don't talk well to each other, causing a fragmented experience.

Large data teams

Disconnected data usually requires a large data team to integrate, store and centralize data.

Misaligned pricing

Point solutions are misaligned with your incentivizes. Massive Snowflake bills are common due to lack of interconnectivity.

The Solution

Full-stack BI

ETL for everyone

Choose from DataBrain's 150+ connectors to sync data to your favorite data warehouse. No coding, python or scripts required. No data-engineering help required.

Transformations with SQL

Write custom transformations using SQL or use dbt so data is ready for analysis. We take care of orchestrating your transformations so you can have it all under one roof.

KPI's that drive your business

Easily create charts and metrics with our out of box templates. Databrain also provides you with tooling to explore and create your own charts.

As an organization scales, grows, and matures the need for consistency surrounding key business metrics, their definitions and a seamless way to access such information is absolutely critical. DataBrain's focus on creating a robust metrics layer reduces reliance on a scattershot of spreadsheets, Confluence pages, and Slack messages while introducing parsimony, simplicity and efficiency.

Rohan Natraj

Insights & Analytics

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

"As an organization scales, grows, and matures the need for consistency surrounding key business metrics, their definitions and a seamless way to access such information is absolutely critical.

DataBrain's focus on creating a robust metrics layer reduces reliance on a scattershot of spreadsheets, Confluence pages, and Slack messages while introducing parsimony, simplicity and efficiency."

Rohan Natraj

Analysis & Insights

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