Google Cloud Data Fusion
Google Cloud Data Fusion: A Google Cloud service for visual, extensible ETL with CDC, lineage, and hybrid connectivity. Ranked #7 of 26 in ETL Software by our editors (8.7/10); pricing: Paid; best for google Cloud integration teams.
At a glance
- Editor score8.7 / 10
- PricingPaid
- Best forGoogle Cloud integration teams
- Free planNo
- Paid from$0.35 usage-based
- DeploymentCloud
- Facts checked21 Sep 2026
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
Our verdict on Google Cloud Data Fusion
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 across cloud, on-premises, and hybrid data environments. Prebuilt source, transformation, and sink plugins cover services including BigQuery, Cloud Storage, Pub/Sub, Spanner, Amazon S3, Azure Blob Storage, Kafka, MySQL, Oracle, and PostgreSQL. Wrangler adds visual data preparation, while REST APIs, a developer SDK, and user-provided JavaScript, Python, Scala, and Spark transformations extend the platform beyond its visual interface.
Pricing is based on Cloud Data Fusion instance hours. Developer costs $0.35 per instance hour and is positioned for development and product exploration, with two concurrent users and two simultaneous pipelines recommended. Basic costs $1.80 per instance hour and targets testing, sandboxes, and proof of concept; the plan lists the first 120 hours per month per account as free and allows unlimited simultaneous pipelines. Enterprise costs $4.20 per instance hour for production workloads and adds role-based access control and regional high availability. Managed Service for Apache Spark and other Google Cloud resources are billed separately, so total operating cost extends beyond the Data Fusion instance rate.
The feature set suits teams that need more than straightforward scheduled transfers. Pipeline scheduling, state-based triggers, dataset and field-level lineage, incremental loading, CDC, continuous replication, and mixed custom-code support address operational and transformation requirements in one managed service. The main fit is for organizations already working across Google Cloud and connected hybrid systems, especially where production access controls and regional availability matter. Smaller teams seeking a free tier, a narrowly focused loader, or simpler cost planning may prefer a more limited alternative.
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Google Cloud Data Fusion pricing
All 3 Google Cloud Data Fusion plans and prices →
Google Cloud Data Fusion fact sheet
| Free plan | No |
|---|---|
| Paid from | $0.35 usage-based |
| Deployment | Cloud |
| Source connectors | Not verified |
| Destination connectors | Not verified |
| Transformation mode | Mixed |
| Incremental loading | Yes |
| Change data capture | Yes |
| Custom code transforms | Yes |
| Deployment | Cloud |
| Platforms | Web |
| Support | Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 20 integrations: BigQuery, Cloud Storage, Cloud Bigtable, Datastore, Firestore, Pub/Sub … See all → |
| Pricing | Paid (source) |
| Website | cloud.google.com |
| Facts checked | 21 Sep 2026 |
Google Cloud Data Fusion integrations
Google Cloud Data Fusion lists 20 integrations on its own site.
- BigQuery
- Cloud Storage
- Cloud Bigtable
- Datastore
- Firestore
- Pub/Sub
- Spanner
- Google Drive
- Google Sheets
- Amazon S3
- Azure Blob Storage
- Kafka
- MySQL
- Oracle
- PostgreSQL
- Microsoft SQL Server
- Salesforce
- SAP
- Snowflake
- Zendesk
See all Google Cloud Data Fusion integrations →
Alternatives to Google Cloud Data Fusion
- KeboolaManaged ETL with a free tier, broad connectors, visual orchestration, and hybrid deployment.9.4
- Informatica Data IntegrationA hybrid-ready platform for enterprise ETL, ELT, CDC and orchestration.9.3
- Talend Data FabricA broad, governed platform for complex batch, real-time, and hybrid data environments.9.1
See all Google Cloud Data Fusion alternatives →
Google Cloud Data Fusion vs the competition
- Google Cloud Data Fusion vs Keboola
- Google Cloud Data Fusion vs Informatica Data Integration
- Google Cloud Data Fusion vs Talend Data Fabric
- Google Cloud Data Fusion vs Qlik Talend Cloud
- Google Cloud Data Fusion vs Apache Hop
- Google Cloud Data Fusion vs Azure Data Factory
Compare Google Cloud Data Fusion with any tool side by side →
Also Ranked In
Google Cloud Data Fusion is ranked in 2 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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