Data Pipelines

Dagster

A data orchestrator for machine learning, analytics, and ETL.

Status
Generally available
Last checked
Checked · Oct 15, 2026
License
Open source
Pricing
Free tier · from $0

What it is

Dagster is a powerful open-source framework that helps developers build, deploy, and maintain robust data pipelines. It provides tools to define, schedule, monitor, and troubleshoot data workflows efficiently.

Dagster stands out as an open-source, Python-centric tool that offers deep integration and monitoring capabilities for complex data pipelines.

When it fits — and when it doesn’t

A good fit for

  • Teams building Python-based data pipelines that require extensive monitoring and scheduling capabilities.

  • Organizations needing a self-hosted solution for data orchestration without cloud dependency.

Look elsewhere if

  • Projects requiring real-time data processing or streaming (Dagster is batch-oriented).

  • Developers looking for a fully managed service with no self-hosting requirements.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited integrations with non-Python ecosystems

    Primary support is for Python, limited official plugins for other languages

  2. 02

    Complex setup and configuration

    Requires significant configuration to set up monitoring, scheduling, and deployment

What it does well

  • Define data pipelines using Python code

  • Visualize and monitor pipeline execution in a web UI

  • Automate scheduling of pipelines with cron-like syntax

  • Extensive logging and error handling for troubleshooting

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Dagster

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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