Here’s the difference between Segment and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.
Cloud-based customer data platform. It provides an API for developers to integrate and collect customer data and send it to multiple tools for analytics, marketing, data warehousing. It also provides multiple data sources to integrate and collect information like google analytics, HEAP, adobe analytics, flurry, mixpanel, etc. It also provides solutions for data governance.
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 | Customer Data Platform(CDP), Event Tracking | Data Streaming |
Stage | Late Stage | Late Stage |
Target Segment | Enterprise, Mid size | Enterprise, Mid size |
Deployment | SaaSOn Prem | SaaS |
Business Model | Commercial | Commercial |
Pricing | Freemium, Contact Sales | Freemium |
Location | San Francisco, US | US |
Companies using it | ||
Contact info |