Compare - Amundsen VS Google Cloud Dataflow
Here’s the difference between Amundsen and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
About Amundsen
Open-source data discovery and metadata platform. Data engineers and analysts can search for data within the organization by a simple text search and the page rank search algorithm recommends results based on names, descriptions, tags, and querying/viewing activity on the table/dashboard. Also, it allows to build trust in data using automated metadata.
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 | Data Discovery, Data Cataloging | Data Streaming |
| Stage | Early Stage | Late Stage |
| Target Segment | Mid size | Enterprise, Mid size |
| Deployment | On Prem | SaaS |
| Business Model | Open Source | Commercial |
| Pricing | Free trial | Freemium |
| Location | US | US |
| Companies using it | ||
| Contact info |
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