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Head-to-head · ETL Software

Azure Data Factory vs Google Cloud Data Fusion

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Azure Data Factory #6 in ETL Software 8.8/10 Paid ✓ 3 of 3 features Visit site
Google Cloud Data Fusion #7 in ETL Software 8.7/10 Paid ✓ 3 of 3 features Visit Google Cloud

Azure Data Factory leads on 0 checks, Google Cloud Data Fusion on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAzure Data Factory · 8.8/10

Azure Data Factory scores higher on our rubric for etl software: 8.8 against 8.7 out of 10; our editors rank them #6 and #7.

On deployment, Azure Data Factory gives you Hybrid where Google Cloud Data Fusion offers Cloud.

Azure Data Factory is the better fit for cloud ETL teams in mixed environments. Google Cloud Data Fusion is the better fit for google Cloud integration teams.

  • Azure Data Factory fits best

    Cloud ETL teams in mixed environments

  • Google Cloud Data Fusion fits best

    Google Cloud integration teams

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Side by side

Feature Azure Data Factory 8.8/10 Visit ↗ Google Cloud Data Fusion 8.7/10 Visit ↗
At a glance
Editor score 8.8 8.7
Ranking #6 in ETL Software #7 in ETL Software
Best for Cloud ETL teams in mixed environments Google Cloud integration teams
Pricing model Paid Paid
Starting price Not checked yet $0.35 usage-based
Free plan — —
Free trial — —
Deployment Cloud, Self-hosted Cloud
Platforms Web Web
Support Docs Docs
Integrations 90+ integrations 20 integrations
Built for Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Azure Data Factory 3/3 · Google Cloud Data Fusion 3/3
Incremental loading ✓ ✓
Change data capture ✓ ✓
Custom code transforms ✓ ✓
Specs
Deployment Hybrid Cloud
Source connectors Not checked yet Not checked yet
Destination connectors Not checked yet Not checked yet
Transformation mode Mixed Mixed
Our review
Pros
  • More than 90 built-in connectors across cloud, on-premises, and multicloud sources
  • Visual pipelines, mapping data flows, scheduling, monitoring, and alerting
  • Supports incremental loading, CDC, self-hosted runtimes, and SSIS migration
  • Supports batch, real-time, CDC, and continuous replication pipelines
  • Visual designer, Wrangler, lineage, triggers, and prebuilt plugins
  • Connects Google Cloud, databases, storage, Kafka, and SaaS sources
Cons
  • Usage-based pricing varies by region and currency
  • CDC factory resources are documented as public preview
  • Its broad feature set may exceed the needs of simple ETL projects
  • No free plan is listed
  • Google Cloud resource execution costs are billed separately
  • Enterprise features such as RBAC and regional HA cost more
Our verdict

Azure Data Factory is a fully managed, serverless service for building ETL and ELT pipelines. It is designed for teams moving and transforming data across cloud, on-premises, hybrid, and multicloud environments. Visual pipeline authoring,…

Read the review →

Google Cloud Data Fusion is a fully managed, cloud-native data integration service for business users, developers, data scientists, and enterprise data teams. Its web-based visual pipeline designer supports batch and real-time workflows…

Read the review →
  1. Azure Data FactoryETL Software 8.8Paid
  2. Google Cloud Data FusionETL Software 8.7Paid

Strengths and trade-offs

  • Azure Data Factory — where it wins

    • More than 90 built-in connectors across cloud, on-premises, and multicloud sources
    • Visual pipelines, mapping data flows, scheduling, monitoring, and alerting
    • Supports incremental loading, CDC, self-hosted runtimes, and SSIS migration

    Where it doesn't

    • Usage-based pricing varies by region and currency
    • CDC factory resources are documented as public preview
    • Its broad feature set may exceed the needs of simple ETL projects

  • Google Cloud Data Fusion — where it wins

    • Supports batch, real-time, CDC, and continuous replication pipelines
    • Visual designer, Wrangler, lineage, triggers, and prebuilt plugins
    • Connects Google Cloud, databases, storage, Kafka, and SaaS sources

    Where it doesn't

    • No free plan is listed
    • Google Cloud resource execution costs are billed separately
    • Enterprise features such as RBAC and regional HA cost more
  • Azure Data Factory8.8/10 · Paid

    A visual, hybrid ETL service with broad connectivity and enterprise orchestration.

    Visit siteFull verdict →
  • Google Cloud Data Fusion8.7/10 · Paid

    A Google Cloud service for visual, extensible ETL with CDC, lineage, and hybrid connectivity.

    Visit Google CloudFull verdict →

More comparisons

All ETL software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update