Compare - Google Cloud Dataflow VS Apache Kafka

Here’s the difference between Google Cloud Dataflow and Apache Kafka. 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 Apache Kafka

Provider of software development services

Comparison Table

Overview
CategoriesData StreamingData Streaming
StageLate StageLate Stage
Target SegmentEnterprise, Mid sizeEnterprise, Mid size
DeploymentSaaSOn Prem
Business ModelCommercialOpen Source
PricingFreemiumFreemium
LocationUSUS
Companies using it
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