Here’s the difference between Google Cloud Dataflow and Lakefs. The comparison is based on pricing, deployment, business model, and other important factors.
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.
Cloud-based data analytics and data lake management platform. The features of the solution include databases, data science, data collection, data storage, data analysis, data monitoring, data migrating, etc. It also provides open-source storage-based data lakes operations platform.
Overview | ||
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Categories | Data Streaming | Data Lakes |
Stage | Late Stage | Early Stage |
Target Segment | Enterprise, Mid size | Mid size |
Deployment | SaaS | Open source |
Business Model | Commercial | Open Source |
Pricing | Freemium | Freemium |
Location | US | Tel Aviv, Israel |
Companies using it | ||
Contact info |