Dagster stands out for its asset‑centric approach to data orchestration, treating data as first‑class assets rather than just tasks. This makes pipelines more reliable, transparent, and easier to monitor. Users appreciate its strong integrations with modern data tools (like dbt, Snowflake, and Databricks), built‑in observability and monitoring, and a developer‑friendly design that emphasizes testability and maintainability. Its scalability across small and enterprise workflows ensures long‑term relevance, while the clear abstractions reduce complexity compared to older orchestrators. Review collected by and hosted on G2.com.
Dagster’s main drawbacks are its steep learning curve, evolving ecosystem, and complex setup, which can make adoption challenging. Documentation gaps and performance tuning needs further add to the hurdles, making it less ideal for smaller teams seeking simplicity and cost‑effectiveness. Review collected by and hosted on G2.com.
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