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Dagster

An orchestration platform for the development, production, and observation of data assets
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What is Dagster?

It is an orchestrator that's designed for developing and maintaining data assets, such as tables, data sets, machine learning models, and reports.
Dagster is a tool in the Analytics Integrator category of a tech stack.
Dagster is an open source tool with 10K GitHub stars and 1.2K GitHub forks. Here’s a link to Dagster's open source repository on GitHub

Who uses Dagster?

Companies
5 companies reportedly use Dagster in their tech stacks, including Cozero, Data Engineering, and Delight.

Developers
12 developers on StackShare have stated that they use Dagster.

Dagster Integrations

Jupyter, Airflow, Databricks, dbt, and Fivetran are some of the popular tools that integrate with Dagster. Here's a list of all 8 tools that integrate with Dagster.

Dagster's Features

  • Manage your data assets with code
  • A single pane of glass for your data platform
  • From pull request to production. Effortlessly
  • Monitor runs across all your jobs in one place with the run timeline view

Dagster Alternatives & Comparisons

What are some alternatives to Dagster?
Google Tag Manager
Tag Manager gives you the ability to add and update your own tags for conversion tracking, site analytics, remarketing, and more. There are nearly endless ways to track user behavior across your sites and apps, and the intuitive design lets you change tags whenever you want.
Segment
Segment is a single hub for customer data. Collect your data in one place, then send it to more than 100 third-party tools, internal systems, or Amazon Redshift with the flip of a switch.
Rudderstack
RudderStack allows you to easily build pipelines connecting your whole customer data stack, then make them smarter by pulling analysis from your data warehouse to trigger enrichment and activation in customer tools.
Astronomer
Astro is the modern data orchestration platform, powered by Apache Airflow. Astro enables data engineers, data scientists, and data analysts to build, run, and observe pipelines-as-code.
Avo
A code-generated, type-safe tracking library to accurately implement analytics events that are defined and maintained in a single-source-of-truth web app. Built to optimize the experience of maintaining and version controlling complicated event schemas.
See all alternatives

Dagster's Followers
11 developers follow Dagster to keep up with related blogs and decisions.