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Dagster Labs

Dagster Labs

Data orchestration platform for productivity

About

Dagster Labs focuses on developing Dagster, a platform designed for data orchestration. This platform helps users manage and streamline their data workflows, making it easier to build, run, and monitor data pipelines. Dagster allows users to define their data processes in a structured way, enabling better collaboration and efficiency in handling data tasks. Unlike many other data orchestration tools, Dagster emphasizes productivity and user experience, providing features that support both data engineers and data scientists. The goal of Dagster Labs is to enhance the productivity of teams working with data by providing a clear and effective way to manage complex data workflows.

Company Stage

Series B

Employees

51-200

Industries

Data & Analytics

Total Funding

$78.6M

Headquarters

N/A

Founded

2018


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Simplify's Take

What believers are saying

  • The recent $33M Series B funding round led by Georgian and participation from top-tier investors like Sequoia and Index indicates strong financial backing and growth potential.
  • Dagster's platform is crucial for complex data pipelines, making it indispensable for industries that rely on data-driven decision-making, such as finance and social media.
  • The involvement of experienced leaders from Facebook and Twitter ensures a strong vision and strategic direction for the company.

What critics are saying

  • The competitive landscape for data orchestration platforms is intense, with numerous established players and new entrants.
  • Reliance on open-source contributions can be a double-edged sword, potentially leading to slower development cycles and fragmented focus.

What makes Dagster Labs unique

  • Dagster Labs focuses on building a highly productive data orchestration platform, setting it apart from general-purpose data tools.
  • The leadership team, including co-founders of GraphQL, brings deep expertise and credibility in data management and orchestration.
  • The open-source nature of Dagster allows for community-driven improvements and widespread adoption, unlike proprietary solutions.

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