Here’s the difference between Dagster and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.
Dagster is an orchestrator that's designed for developing and maintaining data assets, such as tables, data sets, machine learning models, and reports.You declare functions that you want to run and the data assets that those functions produce or update. Dagster then helps you run your functions at the right time and keep your assets up-to-date.
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
Overview | ||
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Categories | Workflow Orchestration | Data Modelling and Transformation |
Stage | Early Stage | Late Stage |
Target Segment | Mid size, Enterprise | Mid Size, Enterprise |
Deployment | On PremSaaS | On Prem |
Business Model | Open Source | Open Source |
Pricing | Freemium, Contact Sales | Freemium |
Location | United States | US |
Companies using it | ||
Contact info |