Dagster Labs

Dagster Labs

Data orchestration platform for productivity

About

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.

Company Stage

Series B

Employees

11-50

Industries

Data & Analytics, Enterprise Software

Total Funding

$78.6M

Headquarters

San Francisco, California

Founded

2018


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Simplify's Take

What believers are saying

  • 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.

What critics are saying

  • 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.

What makes Dagster Labs unique

  • 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.

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Benefits

Flexible Work Hours

Remote Work Options

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