Google Cloud Data Fusion
Google Cloud Data Fusion is a managed cloud service for building and operating data integration pipelines.
What Google Cloud Data Fusion is
Google Cloud Data Fusion is a managed cloud service for building and operating data integration pipelines. Its visual, point-and-click interface supports code-free ETL and ELT workflows to cleanse, prepare, blend, transfer, and transform data. It includes more than 150 preconfigured connectors and transformations at no additional cost, and tracks lineage at dataset and field level for root-cause and impact analysis. Integrations include Cloud Storage, Managed Service for Apache Spark, BigQuery, and Spanner. Replication can move SQL Server, Oracle, and MySQL changes into BigQuery; the service also works with Datastream change streams. IAM, Private IP, VPC Service Controls, and customer-managed encryption keys are among its security integrations. REST APIs, schedules, triggers, logs, metrics, and dashboards support operations. Built on open-source CDAP, it supports pipeline portability across hybrid and multi-cloud environments. Basic includes 120 free pipeline-development hours per month per account; new customers get $300 in credits. Pipeline execution also incurs charges for Spark clusters and other Google Cloud resources.
Good
- Visual interface supports code-free pipeline deployment.
- Includes over 150 connectors and transformations.
- Tracks lineage at dataset and field level.
- Supports replication and change streams.
- Basic offers 120 free development hours monthly.
Watch out
- Execution resources incur separate Google Cloud charges.
- An instance's edition cannot be changed later.
- Unsupported versions receive no further fixes.
- Version support lasts 18 months after release.
Who it suits
Data Fusion suits teams building managed ETL or ELT pipelines, including teams that want visual design, lineage, or hybrid and multi-cloud portability. Its listed editions distinguish development, testing, and production workloads.
Verdict
Google Cloud Data Fusion brings pipeline design, lineage, integrations, and operational controls into a managed cloud service. Account for separate execution costs and choose an instance edition carefully, since it cannot later be changed.
Plans and prices
From Google Cloud Data Fusion's own pricing page, checked 3 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Developer | $0.35 a month | 2 concurrent users · development and exploration workloads · zonal high availability · $0.35 per instance hour, billed by the minute |
| Basic | $1.80 a month | Testing, sandbox, and PoC workloads · regional high availability · other Google Cloud execution resources billed separately · First 120 hours per month per account free; $1.80 per instance hour above that, billed by the minute |
| Enterprise | $4.20 a month | Production workloads · regional high availability · other Google Cloud execution resources billed separately · $4.20 per instance hour, billed by the minute |
The facts
Each one read from Google Cloud Data Fusion's own pages, with the date it was checked.
What it does
- API and operations
- REST APIs, schedules, pipeline state triggers, logs, metrics, and monitoring dashboards support pipeline operations.checked 3 Oct 2026
- Availability commitment
- The SLA lists a 99.5% monthly uptime target for the Enterprise Edition control plane API in cloud regions other than Mexico.checked 3 Oct 2026
- Connectors
- Google says the product includes more than 150 preconfigured connectors and transformations at no additional cost.checked 3 Oct 2026
- Data lineage
- It tracks integrated datasets at dataset and field level to support root cause and impact analysis.checked 3 Oct 2026
- Edition constraints
- An instance's edition cannot be changed after the instance is created.checked 3 Oct 2026
- Execution charges
- Pipeline execution incurs separate charges for the Managed Service for Apache Spark clusters and any other Google Cloud resources used.checked 3 Oct 2026
- Google Cloud integrations
- The product integrates with Cloud Storage, Managed Service for Apache Spark, BigQuery, and Spanner.checked 3 Oct 2026
- Hybrid portability
- Built on open-source CDAP, Cloud Data Fusion supports pipeline portability across hybrid and multi-cloud environments.checked 3 Oct 2026
- Purpose
- Cloud Data Fusion is a fully managed, cloud-native enterprise data integration service for building and managing pipelines that cleanse, prepare, blend, transfer, and transform data.checked 3 Oct 2026
- Real-time processing
- Its replication feature can replicate SQL Server, Oracle, and MySQL databases into BigQuery, and it integrates with Datastream for change streams.checked 3 Oct 2026
- Security
- Google lists integrations with IAM, Private IP, VPC Service Controls, and customer-managed encryption keys.checked 3 Oct 2026
- Version support
- A Cloud Data Fusion environment version is supported for 18 months after release; unsupported versions receive no further fixes, including security fixes.checked 3 Oct 2026
- Visual pipeline design
- Its visual point-and-click interface enables code-free deployment of ETL and ELT data pipelines.checked 3 Oct 2026
Money
- Free usage
- All customers get the first 120 hours of Basic edition pipeline development free per month per account, and new customers get $300 in credits.checked 3 Oct 2026
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