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Apache NiFi vs Google Cloud Data Fusion

Both stand on data integration. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Apache NiFi

Free plan Open source APILinuxMac+3

NiFi combines visual flow management with provenance tracking, flow controls, and a range of documented integrations. Before configuring it, account for the security responsibility users retain for commands and custom code.

Visit Apache NiFi

Google Cloud Data Fusion

Free plan APIWeb

Choose Google Cloud Data Fusion if visual pipeline design, lineage tracking, and Google Cloud integrations fit your data workflows. The free Basic development hours and new-customer credits provide a starting point. Account for separate execution-resource charges, and select an edition carefully because an instance's edition cannot later be changed.

Visit Google Cloud Data Fusion

The facts

Apache NiFiGoogle Cloud Data Fusion
Free planYesYes
Open sourceYesNot published
Runs onAPI, Linux, Mac, Self-hosted, Web, WindowsAPI, Web
Lowest paid planFree or on requestDeveloper: $0.35 per instance a month
Plans published23
MakerNot publishedNot published
Websitenifi.apache.orgcloud.google.com
On data integration#2 of 26#8 of 26

Apache NiFi: what it does well

  • Browser-based interface for designing and monitoring flows
  • Tracks information with indexed provenance data
  • Real-time flow changes avoid stopping the entire flow
  • Processors connect to listed cloud and messaging services
  • Supports clustering and edge deployments through MiNiFi

What to know first

  • Users are responsible for configured commands and custom code
  • Version 1.28 reached end of support on 2024-12-08

Google Cloud Data Fusion: what it does well

  • Visual interface supports code-free ETL and ELT pipeline deployment.
  • Includes more than 150 preconfigured connectors and transformations.
  • Tracks lineage at dataset and field level.
  • Replicates SQL Server, Oracle, and MySQL changes into BigQuery.
  • Built on open-source CDAP for hybrid and multi-cloud portability.

What to know first

  • Spark clusters and other Google Cloud execution resources cost extra.
  • An instance's edition cannot be changed after creation.
  • Unsupported environment versions no longer receive fixes, including security fixes.

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