Compare - Google Cloud Dataflow VS Google Cloud Composer
Here’s the difference between Google Cloud Dataflow and Google Cloud Composer. The comparison is based on pricing, deployment, business model, and other important factors.
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.
About Google Cloud Composer
Cloud Composer is a fully managed workflow orchestration service, enabling you to create workflows that span across clouds and on-premises data centers. Built on the popular Apache Airflow open source project and operated using the Python programming language, Cloud Composer is free from lock-in and easy to use.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Workflow Orchestration |
| Stage | Late Stage | Late Stage |
| Target Segment | Enterprise, Mid size | Enterprise, Mid size |
| Deployment | SaaS | SaaSOn Prem |
| Business Model | Commercial | Open Source |
| Pricing | Freemium | Freemium |
| Location | US | US |
| Companies using it | ||
| Contact info |
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