Dagster Reviews and details

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2023-03-22

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AI Strategy Guide: How to Scale AI Across Your Business
Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities. - Source: dev.to / 2 days ago
What are some open-source ML pipeline managers that are easy to use?
I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home. Source: about 1 year ago

External sources with reviews and comparisons of Dagster

5 Airflow Alternatives for Data Orchestration

Dagster is an open-source data orchestration system that allows users to define their data assets as Python functions. Once defined, Dagster manages and executes these functions based on a user-defined schedule or in response to specific events. Dagster can be used at every stage of the data development lifecycle, from local development and unit testing to integration testing, staging environments, and production.

Source: www.kdnuggets.com

Top 8 Apache Airflow Alternatives in 2024

Unlike Airflow, which supports any production environment, Dagster concentrates on cloud services and supports modern data stacks. Being cloud-native and container-native, this solution makes the scheduling and execution processes easier. Dagster was created with such specific goals in mind: designing ETL data pipelines, implementing machine learning curves, and managing data-driven systems.

Source: blog.skyvia.com

10 Best Airflow Alternatives for 2024

Dagster is a Machine Learning, Analytics, and ETL Data Orchestrator. Since it handles the basic function of scheduling, effectively ordering, and monitoring computations, Dagster can be used as an alternative or replacement for Airflow (and other classic workflow engines).

Source: hevodata.com

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Dagster discussion

This is an informative page about Dagster. You can review and discuss the product here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.

Dagster

The cloud-native open source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.