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Dagster

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Data orchestrator platform for building, scheduling, monitoring, and observing reliable asset-based data pipelines.

ウェブサイト:https://dagster.io/
追加日:2026年7月13日
月間訪問者数:
150.3K
ソーシャルと電子メール:
data orchestrationasset-based pipelinesdata observabilityhybrid deploymentETLELT
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Dagster
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Dagsterとは何ですか?

Dagster is the operational layer that structures how data is built, observed, and delivered so teams and AI agents can rely on trusted, reliable data pipelines across tools and infrastructure. It helps organizations build, schedule, and monitor reliable asset-based data pipelines with hybrid deployment and AI context support.

コア機能

  • Asset-based pipeline orchestration

    Build and run asset-based pipelines across any tool in the stack, enabling engineers, stakeholders, and agents to work from the same operational foundation.

  • Built-in observability

    Real-time monitoring, asset health dashboards, lineage, dependencies, quality signals, and failure context attached to every asset so teams can see data health across the platform.

  • Hybrid deployment

    Run compute in your own infrastructure while Dagster manages the control plane, supporting cloud, on-prem, and hybrid setups without re-architecting for compliance.

  • Branch deployments

    Ship pipeline changes without putting production at risk by validating every change in a production-like environment before it touches real data.

  • Composability and guardrails

    Platform teams define standards once so downstream teams and AI-assisted workflows can build on top with consistency, testability, and governance by design.

  • Native dbt and Snowflake support

    First-class integrations that orchestrate, monitor, and catalog existing dbt models and Snowflake assets without custom glue code.

  • AI-ready developer experience and Dagster+ AI

    Local development with fast iteration plus Dagster+ AI that uses assets, runs, lineage, freshness, failures, and automation history so teams can diagnose issues and take action; includes Compass for governed data agents.

  • Data catalog and data quality

    Platform capabilities for data catalog and data quality as part of the overall orchestration and observability layer.

使用例

  • #1

    ETL/ELT pipelines

    Orchestrate and monitor ETL and ELT data pipelines with asset-based workflows and full visibility.

  • #2

    AI and machine learning

    Support AI and ML workflows by providing trusted data context, lineage, and operational reliability for AI agents and models.

  • #3

    Data modernization

    Modernize data platforms with scalable, composable orchestration, observability, and hybrid deployment options.

  • #4

    Data products

    Build and deliver reliable data products with shared standards, guardrails, and operational context.

以下に最適:Data engineersPlatform teamsData teamsAnalytics stakeholdersTeams building AI agents on data workflowsOrganizations in finance, software and technology, retail and e-commerce, and life sciences

料金プラン

Open source core available; free to get started; Dagster+ offering for advanced and enterprise capabilities; talk to sales and pricing page referenced for commercial options.

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よくある質問

What is Dagster?
Dagster is a data orchestrator platform that helps you build, schedule, and monitor reliable asset-based data pipelines. It serves as the operational layer that structures how data is built, observed, and delivered so teams and AI agents can rely on trusted pipelines across tools and infrastructure.
Is Dagster open source?
Yes. Dagster has an open source core that is free to get started with. Dagster+ offers advanced and enterprise capabilities, with commercial options available by talking to sales.
Does Dagster support hybrid deployment?
Yes. Dagster supports hybrid deployment so you can run compute in your own infrastructure while Dagster manages the control plane. It works with cloud, on-premises, and hybrid setups without re-architecting for compliance.
What integrations does Dagster offer?
Dagster provides first-class integrations for dbt and Snowflake to orchestrate, monitor, and catalog existing models and assets without custom glue code. It also supports Fivetran among other tools in the stack.
How does Dagster help with AI and machine learning workflows?
Dagster provides trusted data context, lineage, and operational reliability for AI agents and models. Dagster+ AI uses assets, runs, lineage, freshness, failures, and automation history to help diagnose issues and take action, and includes Compass for governed data agents.
Who is Dagster designed for?
Dagster is designed for data engineers, platform teams, data teams, analytics stakeholders, and teams building AI agents on data workflows. It is used by organizations in finance, software and technology, retail and e-commerce, and life sciences.

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ツール情報

料金モデルOpen Source
カテゴリ生産性向上
タグ
data orchestrationasset-based pipelinesdata observabilityhybrid deploymentETLELT
言語英語
最終更新日2026年7月16日
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