Loading organizations...
Dagster Labs provides Dagster, an open-source data orchestrator serving as a unified control plane for AI and data pipelines. The platform enables teams to build, scale, and observe data assets, integrating orchestration, cataloging, quality, and cost insights. It promotes software engineering best practices for data workflows, enhancing reliability and clarity.
Founded in 2018 by Nick Schrock, Dagster Labs was initially Elementl. Schrock, co-creator of GraphQL at Facebook, identified a need for principled, developer-centric data management tools. This insight fueled Dagster's creation, solving orchestration complexities through an asset-aware, software-defined approach to enhance data platform potential.
Data teams globally use Dagster for modern data infrastructure across sectors like finance, software, and life sciences. Dagster Labs’ mission is to enable organizations to build productive, scalable data platforms. The company envisions data engineering achieving the maturity of software engineering, fostering reliable, observable data systems.
Dagster Labs has raised $47.0M across 2 funding rounds.
Dagster Labs has raised $47.0M in total across 2 funding rounds.
Dagster Labs has raised $47.0M in total across 2 funding rounds.
Dagster Labs's investors include Emily Walsh, Amplify Partners, Hanabi Capital, Lux Capital, Lisha Li, 8VC, Hanover Technology Investment Management, Human Capital, Index Ventures, Sequoia Capital, Slow Ventures.
Dagster Labs is the company behind Dagster, an open‑source, data‑aware orchestration platform and a commercial cloud offering (Dagster+) that helps data and ML teams build, observe, and scale production pipelines with asset‑aware lineage, observability, and developer workflows[2][1].
High-Level Overview
For a portfolio company / product view (Dagster itself)
Origin Story
Core Differentiators
Role in the Broader Tech Landscape
Quick Take & Future Outlook
Quick take: Dagster Labs combines an influential open‑source orchestrator with a managed product designed for modern data and ML teams; its asset‑first, developer‑centric approach addresses current gaps in lineage, testing, and observability and positions it to play a central role in maturing production data/AI platforms[1][2][5].
Dagster Labs has raised $47.0M across 2 funding rounds. Most recently, it raised $33.0M Series B in May 2023.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| May 1, 2023 | $33.0M Series B | Emily Walsh | Amplify Partners, Hanabi Capital, Lux Capital, Lisha Li, 8VC, Hanover Technology Investment Management, Human Capital, Index Ventures, Sequoia Capital, Slow Ventures |
| Nov 1, 2021 | $14.0M Series A | Amplify Partners, Hanabi Capital, Lux Capital, Lisha Li |