Here’s the difference between Superset and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
Apache Superset is an open-source software cloud-native application for data exploration and data visualization able to handle data at petabyte scale. The application started as a hack-a-thon project by Maxime Beauchemin while working at Airbnb and entered the Apache Incubator program in 2017.
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.
Overview | ||
---|---|---|
Categories | Business Intelligence (BI) | Data Streaming |
Stage | Early Stage | Late Stage |
Target Segment | Mid size | Enterprise, Mid size |
Deployment | SaaS | SaaS |
Business Model | Open Source | Commercial |
Pricing | Freemium | Freemium |
Location | US | US |
Companies using it | ||
Contact info |