Compare - Astronomer VS Google Cloud Dataflow
Here’s the difference between Astronomer and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
About Astronomer
Astronomer is an open-source data integration platform that helps data engineers to collaboratively contribute to the code which can be used by data scientists/engineers for integrating web applications. It is a hosted data pipeline service that can be used to connect various data source like oracle, mysql, salesforce etc to destinations like cloud platform amazon redshift, bi tools, google analytics and website analytics tools like kissmetrics. The company also provides implementation services to the companies with no data engineer.
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 | Mid Stage | Late Stage |
| Target Segment | Enterprise, Mid size | Enterprise, Mid size |
| Deployment | SaaSOn Prem | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Contact Sales | Freemium |
| Location | US | US |
| Companies using it | ||
| Contact info |
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