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Head-to-head · ETL Software

Informatica Data Integration vs Google Cloud Data Fusion

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Informatica Data Integration #2 in ETL Software 9.3/10 Free plan Free plan✓ 3 of 3 features Visit Informatica
Google Cloud Data Fusion #7 in ETL Software 8.7/10 Paid ✓ 3 of 3 features Visit Google Cloud

Informatica Data Integration leads on 1 check, Google Cloud Data Fusion on 0, and 3 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 scoreInformatica Data Integration · 9.3/10
  • Free planonly Informatica Data Integration

Informatica Data Integration scores higher on our rubric for etl software: 9.3 against 8.7 out of 10; our editors rank them #2 and #7.

Informatica Data Integration offers free plan; Google Cloud Data Fusion doesn't. On deployment, Informatica Data Integration gives you Hybrid where Google Cloud Data Fusion offers Cloud.

Informatica Data Integration is the better fit for enterprise hybrid ETL and ELT teams. Google Cloud Data Fusion is the better fit for google Cloud integration teams.

  • Informatica Data Integration fits best

    Enterprise hybrid ETL and ELT teams

  • Google Cloud Data Fusion fits best

    Google Cloud integration teams

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Side by side

Feature Informatica Data Integration 9.3/10 Visit ↗ Google Cloud Data Fusion 8.7/10 Visit ↗
At a glance
Editor score 9.3 8.7
Ranking #2 in ETL Software #7 in ETL Software
Best for Enterprise hybrid ETL and ELT teams Google Cloud integration teams
Pricing model Free plan + paid Paid
Starting price — $0.35 usage-based
Free plan ✓ (best) —
Free trial — —
Deployment Cloud, Self-hosted Cloud
Platforms Web, Windows Web
Support Live chat, Phone, Community, Docs Docs
Integrations 10 integrations 20 integrations
Built for Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Informatica Data Integration 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
  • Supports ETL, ELT, CDC, replication and schema-change handling
  • Combines hosted, cloud and Secure Agent runtimes
  • Broad connectors for databases, warehouses and SaaS applications
  • 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
  • Paid pricing is consumption-based and requires a quote
  • Some free-plan support is limited to community support
  • Advanced capabilities may require more technical implementation effort
  • 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

Informatica Data Integration is a cloud data integration platform for enterprise data teams working across cloud applications, databases, flat files and on-premises systems. It supports ETL and ELT pipelines, data replication, change data…

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. Informatica Data IntegrationETL Software 9.3Free plan
  2. Google Cloud Data FusionETL Software 8.7Paid

Strengths and trade-offs

  • Informatica Data Integration — where it wins

    • Supports ETL, ELT, CDC, replication and schema-change handling
    • Combines hosted, cloud and Secure Agent runtimes
    • Broad connectors for databases, warehouses and SaaS applications

    Where it doesn't

    • Paid pricing is consumption-based and requires a quote
    • Some free-plan support is limited to community support
    • Advanced capabilities may require more technical implementation effort

  • 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

More comparisons

All ETL software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update