Overview
Mage develops an open-source data pipeline tool for transforming and integrating data. It integrates and synchronizes data from 3rd party sources. It enables users to build real-time and batch pipelines to transform data using Python, SQL, and R. Users can run, monitor, and orchestrate thousands of pipelines without losing sleep.
Mage develops an open-source data pipeline tool for transforming and integrating data. It integrates and synchronizes data from 3rd party sources. It enables users to build real-time and batch pipelines to transform data using Python, SQL, and R. Users can run, monitor, and orchestrate thousands of pipelines without losing sleep.
Mage develops an open-source data pipeline tool for transforming and integrating data. It integrates and synchronizes data from 3rd party sources. It enables users to build real-time and batch pipelines to transform data using Python, SQL, and R. Users can run, monitor, and orchestrate thousands of pipelines without losing sleep.
Mage develops an open-source data pipeline tool for transforming and integrating data. It integrates and synchronizes data from 3rd party sources. It enables users to build real-time and batch pipelines to transform data using Python, SQL, and R. Users can run, monitor, and orchestrate thousands of pipelines without losing sleep.
Mage develops an open-source data pipeline tool for transforming and integrating data. It integrates and synchronizes data from 3rd party sources. It enables users to build real-time and batch pipelines to transform data using Python, SQL, and R. Users can run, monitor, and orchestrate thousands of pipelines without losing sleep.
Funding
$5.5M led by Gradient Ventures
$5.5M led by Gradient Ventures
CEO
Tommy Dang
Tommy Dang
Headquarters
San Francisco
San Francisco
Company Size
1–10
1–10