Google Cloud Data Fusion vs Google Cloud Dataflow

Google Cloud Data Fusion8.9Visit Google Cloud Dataflow8.5Visit

Higher score Google Cloud Data Fusion #4 in Data Integration 8.9/10 Paid ✓ 1 of 1 features Visit Google Cloud

vs

Google Cloud Dataflow #7 in Data Integration 8.5/10 Paid ✓ 1 of 1 features Visit Google Cloud

• Google Cloud Data Fusion fits best

  Google Cloud teams building visual data pipelines

• Google Cloud Dataflow fits best

  Google Cloud teams running batch and streaming pipelines

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Side by side

Feature	Google Cloud Data Fusion 8.9/10 Visit ↗	Google Cloud Dataflow 8.5/10 Visit ↗
At a glance
Editor score	8.9	8.5
Ranking	#4 in Data Integration	#7 in Data Integration
Best for	Google Cloud teams building visual data pipelines	Google Cloud teams running batch and streaming pipelines
Pricing model	Paid	Paid
Starting price	$0.35 usage-based	Not checked yet
Free plan	—	—
Free trial	—	—
Deployment	Cloud	Cloud
Platforms	Web	Web
Support	Docs	Docs, Community, Live chat, Phone, Tickets
Integrations	20 integrations	14 integrations
Built for	Small business, Mid-market, Enterprise	Mid-market, Enterprise
Features Google Cloud Data Fusion 1/1 · Google Cloud Dataflow 1/1
Change data capture	✓	✓
Specs
Deployment	Cloud	Cloud
Prebuilt connectors	Not checked yet	Not checked yet
Sync frequency	Not checked yet	Not checked yet
Data transformations	Not checked yet	Not checked yet
Destination types	Not checked yet	Not checked yet
Our review
Pros	Visual designer supports batch, real-time, CDC, and replication pipelines Prebuilt plugins connect major Google Cloud, database, storage, and messaging systems Lineage, scheduling, triggers, APIs, SDKs, and custom code support varied workflows	Runs batch and streaming Apache Beam pipelines with managed worker infrastructure Offers templates, CDC workflows, and managed I/O connectors Autoscaling and monitoring support ongoing pipeline operations
Cons	Cloud-only deployment limits teams needing another hosting model Instance-hour pricing can be harder to forecast than fixed subscriptions Documentation is the listed support channel	Usage-based pricing can make costs less predictable than fixed tiers Requires engineering work to build and manage pipeline logic Its focus is pipeline execution, not end-to-end integration design
Our verdict	Google Cloud Data Fusion is a fully managed, cloud-native data integration service for building and operating pipelines. Its web-based visual interface targets business users, developers, data scientists, and enterprise data teams working… Read the review →	Google Cloud Dataflow is a managed service for running Apache Beam pipelines that process batch and streaming data. It is aimed at engineering and data teams building data processing and integration workflows on Google Cloud, particularly… Read the review →

Strengths and trade-offs

• Google Cloud Data Fusion — where it wins

  • Visual designer supports batch, real-time, CDC, and replication pipelines
  • Prebuilt plugins connect major Google Cloud, database, storage, and messaging systems
  • Lineage, scheduling, triggers, APIs, SDKs, and custom code support varied workflows

  Where it doesn't

  • Cloud-only deployment limits teams needing another hosting model
  • Instance-hour pricing can be harder to forecast than fixed subscriptions
  • Documentation is the listed support channel

• Google Cloud Dataflow — where it wins

  • Runs batch and streaming Apache Beam pipelines with managed worker infrastructure
  • Offers templates, CDC workflows, and managed I/O connectors
  • Autoscaling and monitoring support ongoing pipeline operations

  Where it doesn't

  • Usage-based pricing can make costs less predictable than fixed tiers
  • Requires engineering work to build and manage pipeline logic
  • Its focus is pipeline execution, not end-to-end integration design

• Google Cloud Data Fusion8.9/10 · Paid

  A capable visual pipeline service, with cloud-only deployment and usage-based billing.

  Visit Google CloudFull verdict →
• Google Cloud Dataflow8.5/10 · Paid

  A managed Google Cloud service for teams building batch and streaming pipelines.

  Visit Google CloudFull verdict →