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Dagster Labs

AI · San Francisco, United States · Founded 2018

Developers of Dagster, open source orchestration platform for the development, production, and observation of data assets MoreLess

Dagster Labs, formerly known as Elementl, is the company behind Dagster, an open-source data orchestration platform. Founded in 2018 by Nick Schrock, who previously co-created GraphQL at Facebook, the company was established to address the complexities and improve the developer experience in data engineering. Schrock's experience at Facebook leading the Product Infrastructure team, which produced tools like React and GraphQL, informed his vision for creating a more structured and maintainable approach to data pipelines. In early 2022, Pete Hunt, a co-founder of the React project and founder of Smyte (acquired by Twitter), joined as CEO, with Schrock transitioning to the CTO role to focus on product and engineering.

Dagster is designed as a cloud-native orchestrator for the entire development lifecycle of data assets, such as tables, machine learning models, and reports. Unlike traditional orchestrators that are task-based, Dagster employs a declarative, asset-centric programming model. This approach allows users to define pipelines as a graph of data assets, providing integrated data lineage, observability, and making them easier to test and maintain. The platform is Python-first but supports cross-language orchestration through its Dagster Pipes feature. It is built to be used at every stage of the data development lifecycle, from local development and testing to production deployment. Key features include a declarative programming model, integrated lineage and observability, robust testing capabilities, and a modular architecture.

The company operates on an open-core business model. The primary product is the open-source Dagster framework, which is freely available. Dagster Labs generates revenue through Dagster Cloud, a hosted and managed service that provides additional enterprise-grade features. These premium features include advanced collaboration tools, security functionalities like role-based access control (RBAC), audit logs, and dedicated support. Dagster Cloud is available in serverless or hybrid deployments. The company serves a wide range of clients, from startups to Fortune 500 companies, across industries like finance, healthcare, retail, and technology.

Dagster Labs has secured significant funding to fuel its growth. After an initial seed round, the company raised a $14 million Series A in November 2021 and a $33 million Series B in May 2023, bringing its total funding to approximately $49 million. Key investors include Georgian, Index Ventures, Sequoia Capital, and Slow Ventures.

Keywords: data orchestration, data asset management, data pipeline, ETL, workflow automation, data engineering, open-source, Python framework, data observability, data lineage, cloud-native orchestrator, machine learning workflows, data quality, declarative programming, CI/CD for data, Nick Schrock, Pete Hunt, Elementl, GraphQL, data integration, data development lifecycle, data governance, scalable data platform, asset-based orchestration

Company overview

Dagster Labs company information

The essential company record, classifications and operating signals in one place.

Status
Acquired
Founded
2018
Headquarters
San Francisco, United States
Employees
73
Open positions
None listed
Dealroom signal
61.6
client focusb2btechnologyArtificial IntelligencetechnologyBig DatatechnologyMachine LearningtechnologyDeep LearningtechnologyNatural Language Processingbusiness modelSaaSsectorOpen SourcesectorDeveloper ToolssectorCore AIsectorBig Data and AnalyticssectorData ManagementsectorMLopsindustryEnterprise Software

Valuation & funding

Dagster Labs funding history

Company financing events and reported valuations.

Deal typeDateAmountValuationInvestorsSource
ACQUISITIONExit Jul 2026 $0 Prefect
SERIES BEquity / VC May 2023 $33M $132M Sequoia · Slow Ventures · Georgian · 8VC
SERIES AEquity / VC Nov 2021 $14M $56M Index Ventures · Sequoia · Amplify Partners · Coatue Management
SEEDEquity / VC Jul 2020 $1.8M $7.2M Sequoia · Slow Ventures · Neo
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Financials

Revenue and workforce over time

Available revenue and workforce history. Fields without reported data are omitted.

YearRevenueGrowthEmployees
2026 $4.1M 0% 53
2025 $4.1M 0% 86
2024 $4.1M 0% 83
2023 $4.1M +95.2% 51
2022 $2.1M 0% 22
2021 $2.1M 20
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Growth signals

Dagster Labs website traffic

Latest recorded traffic for Dagster Labs is 160K monthly website visits, down 11.1% over the last three months. Dagster Labs's team declined 15.1% over the past year.

Latest monthly visits160K 3-month web change-11.1% 1-year team growth-15.1%
Monthly website visits52 observations · Jun 2020–Jul 2026
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Comparisons

Dagster Labs compared with similar companies

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Talent graph

Dagster Labs's talent

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Team profiled 18 named & role-tagged
Founders Hidden — book a demo/100 quality score
Key operators 1 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Investors

15 investors on Dagster Labs's cap table

Sourced from Dealroom's funding and investor records. Investor profile links are shown where available.

Seed 3 investors entered at this stage
Series A 9 investors entered at this stage
Index Ventures
Amplify Partners
Coatue Management
Neo vc
OSS Capital
Georgian
8VC
Hanover
Human Capital
Other known 3 additional known investors
Prefect
f7 Ventures
Mike Vernal

Global footprint

Where Dagster Labs has talent and traffic

Workforce by country
3 countries with
team presence
🇺🇸 United States90.9%
🇨🇦 Canada4.5%
🇦🇺 Australia2.3%
3 countries shown

In the news

Latest news about Dagster Labs

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Market sentiment

What the market is saying about Dagster Labs

An AI-synthesized read of the highest-engagement posts about Dagster Labs on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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