Compare - Prefect VS Google Cloud Dataflow
Here’s the difference between Prefect and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
About Prefect
Prefect offers an open-source data flow automation platform. The product offerings include Prefect Core, to run data applications, built on Python and composed of a task library that enables looping, adding parameters, mapping dynamic tasks, and more. Another offering is Prefect Cloud, a command center for user workflows enabled by Cloud UI, state locking, hybrid execution, GraphQL for ETL, and more. The clients of the company include CISCO, SymphonyRM, trademe, etc.
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 | Enterprise, Mid size | Enterprise, Mid size |
| Deployment | SaaSOn Prem | SaaS |
| Business Model | Open Source | Commercial |
| Pricing | Freemium, Contact Sales | Freemium |
| Location | Washington, US | US |
| Companies using it | ||
| Contact info |
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