Google Cloud Data Fusion
Fully managed, cloud-native data integration.
Overview
Google Cloud Data Fusion is a fully managed, cloud-native enterprise data integration service. It provides a graphical interface and a broad library of pre-configured connectors and transformations to build and manage data pipelines. Data Fusion is built on the open-source project CDAP, which brings enterprise-grade features like data lineage, metadata management, and pipeline monitoring to users on Google Cloud.
✨ Key Features
- Visual, code-free pipeline development
- Built on open-source CDAP
- Broad library of pre-built connectors and transformations
- Enterprise-grade data governance (lineage, metadata)
- Runs on Google Cloud's serverless infrastructure
- Support for batch and real-time integration
🎯 Key Differentiators
- Deep integration with the Google Cloud ecosystem
- Open-source foundation (CDAP)
- User-friendly, graphical interface
Unique Value: Google Cloud Data Fusion provides a self-service, cloud-native way to build and manage data pipelines, enabling organizations to accelerate their data integration projects.
🎯 Use Cases (4)
✅ Best For
- Enabling self-service data preparation for business analysts on GCP
- Accelerating the migration of data from on-premise systems to BigQuery
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Organizations not using Google Cloud Platform
- Small-scale projects where the cost might be prohibitive
🏆 Alternatives
Compared to traditional ETL tools, Google Cloud Data Fusion is easier to use, more scalable, and more cost-effective.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Google Cloud Paid Support Plans tier)
🔒 Compliance & Security
💰 Pricing
Free tier: A certain number of free hours per month for the Basic edition.
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