Google Cloud Data Fusion
ETL tools
Data integration tools
Cloud data integration software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$0.35 per instance per hour
Free TrialFree version
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Medium
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What is Google Cloud Data Fusion
Google Cloud Data Fusion is a managed, cloud-based data integration service for building and operating ETL/ELT pipelines. It provides a visual pipeline designer and a library of connectors to move and transform data between cloud services, databases, and applications, commonly landing data in analytics platforms such as BigQuery. It targets data engineers and analytics teams that want to standardize ingestion and transformation with managed infrastructure on Google Cloud. The service is based on the open-source CDAP framework and runs as a Google-managed service.
Managed pipeline execution
Data Fusion runs pipelines on managed Google Cloud infrastructure, reducing the need to provision and maintain separate ETL servers. It supports scheduling, monitoring, and operational controls through the Google Cloud console. This can simplify production operations for teams already standardizing on Google Cloud services.
Visual design with extensibility
The product offers a graphical interface for designing pipelines, which can speed up development for common ingestion and transformation patterns. Under the hood it uses CDAP, enabling plugin-based extensions for custom sources, sinks, and transformations. This combination supports both low-code development and more advanced customization when needed.
Strong Google Cloud integration
Data Fusion integrates closely with Google Cloud IAM, networking, logging/monitoring, and common data services. It is frequently used to ingest into and orchestrate transformations around BigQuery and other Google Cloud storage/compute services. For organizations consolidating data workloads on Google Cloud, this reduces integration friction compared with stitching together multiple standalone tools.
Google Cloud-centric deployment
Data Fusion is designed as a Google Cloud managed service, which can limit suitability for organizations that require on-premises-only operation or prefer a single tool across multiple clouds. While it can connect to external systems, governance, networking, and operations are anchored in Google Cloud. This can increase switching costs if the data platform strategy changes.
Cost and resource tuning complexity
Pipeline execution relies on underlying cloud compute resources, so costs can vary with workload size, concurrency, and runtime configuration. Teams may need to tune execution profiles and monitor resource usage to avoid unexpected spend. This is more operationally involved than lightweight connector-only tools for simple data movement.
Learning curve for advanced use
Basic pipelines are approachable in the UI, but advanced scenarios often require understanding CDAP concepts, plugin behavior, and runtime settings. Debugging complex transformations can involve multiple layers (pipeline logic, connectors, and cloud runtime). Teams without data engineering experience may find it harder to adopt than simpler, narrowly scoped integration products.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Developer | $0.35 per instance per hour | Intended for development/product exploration; recommended for 2 users and 2 concurrent pipelines; billed by the minute (charged by minute but rates defined hourly). |
| Basic | $1.80 per instance per hour | Suitable for testing/sandbox/POC; the first 120 hours per month per account are free; pipeline execution (processing) is billed separately via Dataproc and other GCP resources. |
| Enterprise | $4.20 per instance per hour | Production-focused with regional high availability and advanced features; pipeline execution billed separately (Dataproc, Cloud Storage, BigQuery, etc.). |
Notes: Processing (pipeline execution) costs are charged separately at the Dataproc rates for clusters launched by Data Fusion. Pricing is billed by the minute (measured as instance run time) and is the same across supported regions.
Seller details
Google LLC
Mountain View, CA, USA
1998
Subsidiary
https://cloud.google.com/deep-learning-vm
https://x.com/googlecloud
https://www.linkedin.com/company/google/
