Dagster Labs

Data orchestration platform for productivity

San Francisco, California, United States

About Dagster Labs

Dagster Labs develops a data orchestration platform called Dagster, which is designed to enhance productivity in managing data workflows. The platform allows users to define, schedule, and monitor data pipelines, making it easier to integrate and process data from various sources. Unlike many other data orchestration tools, Dagster focuses on providing a clear structure for data workflows, enabling teams to collaborate more effectively and maintain better visibility into their data processes. The goal of Dagster Labs is to streamline data management, helping organizations to work more efficiently with their data.

San Francisco, CaliforniaHeadquarters
2018Year Founded
$78.6MTotal Funding
SERIES_BCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
11-50Employees

Benefits

Flexible Work Hours
Remote Work Options

Risks

Competition from Treeverse's lakeFS 1.0 may challenge Dagster's market position.
Focus on GitHub stars could divert attention from essential product development.
Rapid tech evolution in data orchestration may risk Dagster's obsolescence.

Differentiation

Dagster Labs offers an open-source orchestration platform for data asset management.
The platform is designed for productivity, scalability, and observability of data assets.
Dagster's integration with lakeFS enhances data version control capabilities.

Upsides

Recent $33M Series B funding boosts development and marketing efforts for Dagster.
Growing demand for sophisticated data orchestration tools aligns with Dagster's offerings.
Dagster's platform supports critical decision-making processes, increasing its market relevance.