Compare - Flyte VS Google Cloud Dataflow

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

About Flyte

Flyte provides a cloud-based machine learning and data processing platform. The open source structured programming and distributed solution enables concurrent, scalable and maintainable workflows for machine learning and data processing. Uses protocol buffers as the specification language to specify these workflows and tasks.

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
CategoriesWorkflow OrchestrationData Streaming
StageEarly StageLate Stage
Target SegmentMid sizeEnterprise, Mid size
DeploymentOn PremSaaS
Business ModelOpen SourceCommercial
PricingFreemiumFreemium
LocationUSUS
Companies using it
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