Dagster

Orchestration

70.7
Overall Score
412 quotes

Dimension Scores

Total Cost of Ownership 50
145 quotes
Support Quality 100
141 quotes
Setup & Ease of Use 58
126 quotes

Overview

Dagster serves as a solution in the orchestration space. The platform has built a user base for its approach to handling data workflows. Users have provided feedback on various aspects of the platform's functionality and operational characteristics.

Key aspects that emerge from user feedback include both strengths in specific operational domains and challenges that teams face when deploying or scaling the solution. The platform's positioning within the orchestration category means it competes on specific dimensions that matter to that market segment.

Like any data integration tool, Dagster has both capabilities and constraints that vary depending on deployment context and specific use case requirements.

Strengths

  • Referenced strength from user feedback
  • Additional capability noted by users
  • Feature or approach valued by practitioners

Limitations

  • Operational consideration mentioned in feedback
  • Scaling or deployment challenge noted
  • Area for improvement identified by users

Pricing Model

Pricing model varies by deployment option. Check the vendor's website for current rates.

User Evidence

Very Positive hn
"I love the Dagit server and UI and that I can orchestrate pipelines over HTTP"
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Very Positive hn
"the team is extremely responsive on both Slack and GitHub"
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Negative hn
"I took a look at that for some machine learning things I was playing with but I found dvc"
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Positive hn
"the Dagster team is actively reducing the learning curve with each release"
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Negative hn
"Dagster seems more complex and more powerful with its data lineage functionality"
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Negative hn
"the dagster-dbt library in particular seems like a slightly pointless wrapper around the dbt cli"
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Last updated: Jun 17, 2026