Google Cloud Data Fusion vs AWS Glue DataBrew

Google Cloud Data Fusion8.9Visit AWS Glue DataBrew8.4Visit

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

vs

AWS Glue DataBrew #8 in Data Integration 8.4/10 Paid ✓ 0 of 1 features Visit AWS DataBrew

• Google Cloud Data Fusion fits best

  Google Cloud teams building visual data pipelines

• AWS Glue DataBrew fits best

  AWS teams preparing and scheduling datasets

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Side by side

Feature	Google Cloud Data Fusion 8.9/10 Visit ↗	AWS Glue DataBrew 8.4/10 Visit ↗
At a glance
Editor score	8.9	8.4
Ranking	#4 in Data Integration	#8 in Data Integration
Best for	Google Cloud teams building visual data pipelines	AWS teams preparing and scheduling datasets
Pricing model	Paid	Paid
Starting price	$0.35 usage-based	$0.48/unit usage-based
Free plan	—	—
Free trial	—	—
Deployment	Cloud	Cloud
Platforms	Web	Web
Support	Docs	Docs
Integrations	20 integrations	7 integrations
Built for	Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Google Cloud Data Fusion 1/1 · AWS Glue DataBrew 0/1
Change data capture	✓ (best)	Not checked yet
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	Point-and-click profiling, anomaly detection, and data preparation More than 250 built-in transformations and reusable, versioned recipes Visual lineage and scheduled jobs with outputs to Amazon S3 and supported stores
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	Focused on data preparation rather than broad integration Usage-based charges apply to interactive sessions and jobs AWS-oriented ecosystem may not fit teams working across other platforms
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 →	AWS Glue DataBrew is a cloud-based, visual data-preparation service for analysts and data scientists working with datasets for analytics or machine learning. Its point-and-click interface supports profiling, cleaning, normalizing, and… 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

• AWS Glue DataBrew — where it wins

  • Point-and-click profiling, anomaly detection, and data preparation
  • More than 250 built-in transformations and reusable, versioned recipes
  • Visual lineage and scheduled jobs with outputs to Amazon S3 and supported stores

  Where it doesn't

  • Focused on data preparation rather than broad integration
  • Usage-based charges apply to interactive sessions and jobs
  • AWS-oriented ecosystem may not fit teams working across other platforms

• Google Cloud Data Fusion8.9/10 · Paid

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

  Visit Google CloudFull verdict →
• AWS Glue DataBrew8.4/10 · Paid

  A visual AWS service for preparing and scheduling datasets, not broad data integration.

  Visit AWS DataBrewFull verdict →