Google Cloud Data Fusion
cloud.google.com
What it is
Google Cloud Data Fusion is a cloud service for building and managing data pipelines that cleanse, prepare, blend, transfer, and transform data. Its visual interface lets teams design ETL and ELT pipelines without writing code. More than 150 preconfigured connectors and transformations are included at no additional cost, and lineage tracking covers datasets and individual fields for root-cause and impact analysis. It integrates with Cloud Storage, Managed Service for Apache Spark, BigQuery, and Spanner. Replication supports SQL Server, Oracle, and MySQL into BigQuery, with Datastream integration for change streams. Security integrations include IAM, Private IP, VPC Service Controls, and customer-managed encryption keys. REST APIs, schedules, triggers, logs, metrics, and dashboards support operations. Built on open-source CDAP, it supports portability across hybrid and multi-cloud environments. Basic provides 120 free pipeline-development hours monthly per account; new customers get $300 in credits. Developer costs $0.35 a month, Basic $1.80 a month, and Enterprise $4.20 a month. Execution resources are billed separately.
Spec sheet
- 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.Read 3 Oct 2026 · docs.cloud.google.com
- Security
- Google lists integrations with IAM, Private IP, VPC Service Controls, and customer-managed encryption keys.Read 3 Oct 2026 · cloud.google.com
- API and operations
- REST APIs, schedules, pipeline state triggers, logs, metrics, and monitoring dashboards support pipeline operations.Read 3 Oct 2026 · cloud.google.com
- Availability commitment
- The SLA lists a 99.5% monthly uptime target for the Enterprise Edition control plane API in cloud regions other than Mexico.Read 3 Oct 2026 · cloud.google.com
- Connectors
- Google says the product includes more than 150 preconfigured connectors and transformations at no additional cost.Read 3 Oct 2026 · cloud.google.com
- Data lineage
- It tracks integrated datasets at dataset and field level to support root cause and impact analysis.Read 3 Oct 2026 · cloud.google.com
- Edition constraints
- An instance's edition cannot be changed after the instance is created.Read 3 Oct 2026 · docs.cloud.google.com
- Execution charges
- Pipeline execution incurs separate charges for the Managed Service for Apache Spark clusters and any other Google Cloud resources used.Read 3 Oct 2026 · cloud.google.com
- 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.Read 3 Oct 2026 · cloud.google.com
- Google Cloud integrations
- The product integrates with Cloud Storage, Managed Service for Apache Spark, BigQuery, and Spanner.Read 3 Oct 2026 · cloud.google.com
- Hybrid portability
- Built on open-source CDAP, Cloud Data Fusion supports pipeline portability across hybrid and multi-cloud environments.Read 3 Oct 2026 · cloud.google.com
- Real-time processing
- Its replication feature can replicate SQL Server, Oracle, and MySQL databases into BigQuery, and it integrates with Datastream for change streams.Read 3 Oct 2026 · cloud.google.com
- Version support
- A Cloud Data Fusion environment version is supported for 18 months after release; unsupported versions receive no further fixes, including security fixes.Read 3 Oct 2026 · docs.cloud.google.com
- Visual pipeline design
- Its visual point-and-click interface enables code-free deployment of ETL and ELT data pipelines.Read 3 Oct 2026 · cloud.google.com
Plans and prices
Strong points and limits
Strong points
- Visual design supports code-free ETL and ELT pipelines.
- Includes more than 150 connectors and transformations.
- Tracks lineage at dataset and field level.
- Supports replication and Datastream change streams.
Limits
- Spark clusters and other execution resources cost extra.
- An instance's edition cannot be changed after creation.
- Versions receive fixes for only 18 months after release.
- Enterprise control-plane SLA is 99.5% outside Mexico.
Who it suits
It suits teams building data integration pipelines across Google Cloud or hybrid and multi-cloud environments. The editions cover development, testing, and production workloads.
Verdict
Data Fusion combines visual pipeline design, lineage, replication, and broad Google Cloud integrations. Account for separate execution charges, edition lock-in, and the 18-month version support window when planning deployments.
Where Specifiction places it
- ETL Software#13 of 287.9
- Data Integration#15 of 267.8