Dagster is the data orchestrator platform that helps you build, schedule, and monitor reliable data pipelines - fast, flexible, and built for teams.
Dagster receives praise for its robust orchestration features and user-friendly interface, making it a popular choice for managing complex data pipelines. Key complaints often focus on its learning curve, especially for users new to data orchestration. The sentiment around pricing is generally neutral, with some users appreciating the value for the features offered, but no specific pricing details are heavily discussed. Overall, Dagster enjoys a positive reputation, particularly among data professionals seeking a reliable and scalable orchestration tool.
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Dagster receives praise for its robust orchestration features and user-friendly interface, making it a popular choice for managing complex data pipelines. Key complaints often focus on its learning curve, especially for users new to data orchestration. The sentiment around pricing is generally neutral, with some users appreciating the value for the features offered, but no specific pricing details are heavily discussed. Overall, Dagster enjoys a positive reputation, particularly among data professionals seeking a reliable and scalable orchestration tool.
Features
Use Cases
Industry
information technology & services
Employees
84
Funding Stage
Series B
Total Funding
$67.0M
20
npm packages
Pricing found: $10, $0.040/credit, $100, $0.035/credit, $120
Repository Audit Available
Deep analysis of dagster-io/dagster — architecture, costs, security, dependencies & more
Pricing found: $10, $0.040/credit, $100, $0.035/credit, $120
Key features include: The Missing Half of the Enterprise Context Layer, Making Dagster Easier to Contribute to in an AI-Driven World, Unlocking the Full Value of Your Databricks, When to Move from Dagster OSS to Dagster+, Great Infrastructure Needs Great Stories: Designing our Children’s Book, Closing the DataOps Loop: Why We Built Compass for Dagster+, Your GTM Data, Finally Untangled, Orchestrating Nanochat: Deploying the Model.
Dagster is commonly used for: Realtime Health Metrics.
Dagster integrates with: Apache Airflow, dbt, Snowflake, Amazon S3, Google BigQuery, Kubernetes, Apache Kafka, PostgreSQL, Azure Data Lake, Looker.
Dagster Deep Dive: How We Use Compass for AI Analytics
Feb 17, 2026
