Compare - Apache Flink VS Google Cloud Dataflow

Here’s the difference between Apache Flink and Google Cloud Dataflow. The comparison is based on pricing, deployment, business model, and other important factors.

About Apache Flink

Apache Flink is an open source project of The Apache Software Foundation (ASF). The Apache Flink project originated from the Stratosphere research project.

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
CategoriesData StreamingData Streaming
StageLate StageLate Stage
Target SegmentEnterprise, Mid sizeEnterprise, Mid size
DeploymentOn PremSaaS
Business ModelOpen SourceCommercial
PricingFreemiumFreemium
LocationUSUS
Companies using it
Pluralsight logostreamnative logoCHONGTECHNOLOGIES logoFanatics Inc logoCortex logoSelectDB logoApache Doris logo
Paypal logoBlaBlaCar logo
Contact info
linkedin icon
twitter icon

Add to compare

Similar Companies
Apache Storm logo
Apache Storm
Data Streaming
Fast Data
Data Streaming
Giga Spaces logo
Giga Spaces
Data Streaming
AWS Kinesis logo
AWS Kinesis
Data Streaming