Compare - Dagster VS Google Cloud Dataflow
Here’s the difference between Dagster and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
About Dagster
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.
About Google Cloud Dataflow
Google Cloud Dataflow is a cloud-based data processing service for both batch and real-time data streaming applications. It enables developers to set up processing pipelines for integrating, preparing and analyzing large data sets, such as those found in Web analytics or big data analytics applications. The Cloud Dataflow software expands on earlier Google parallel processing projects, including MapReduce, which originated at the company. Cloud Dataflow is designed to bring to entire analytics pipelines the style of fast parallel execution that MapReduce brought to a single type of computational sort for batch processing jobs.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Workflow Orchestration | Data Streaming |
| Stage | Early Stage | Late Stage |
| Target Segment | Mid size, Enterprise | Enterprise, Mid size |
| Deployment | On PremSaaS | SaaS |
| Business Model | Open Source | Commercial |
| Pricing | Freemium, Contact Sales | Freemium |
| Location | United States | US |
| Companies using it | ||
| Contact info |
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