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SPECIFICTION
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CloverDX vs Google Cloud Data Fusion

CloverDX

cloverdx.com

Google Cloud Data Fusion

cloud.google.com

Side by side

FigureCloverDXGoogle Cloud Data Fusion
Price from—$0.35/mo
Free plan——
Free trialYesYes
Open source——
WebYesYes
WindowsYes—
macOSYes—
LinuxYes—
APIYesYes
Self-hostedYes—
Plans published43
Spec score · ETL Software8.7 (#7)7.9 (#13)
PurposeCloverDX is a data integration platform for building, automating, and monitoring production data pipelines.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.
SecurityCloverDX supports LDAP and SAML, recommends HTTPS, and says Server job data is processed as a stream and not retained after jobs end, though metadata such as logs and execution statistics is stored.Google lists integrations with IAM, Private IP, VPC Service Controls, and customer-managed encryption keys.

Plans

CloverDX

  • EnhancedPriced on request
  • PlusPriced on request
  • StandardPriced on request
  • Standard, Plus, EnhancedPriced on request

CloverDX pricing →

Google Cloud Data Fusion

  • Developer$0.35 a month
  • Basic$1.80 a month
  • Enterprise$4.20 a month

Google Cloud Data Fusion pricing →

In their own words

CloverDX

CloverDX is a self-hosted platform for building, automating, and monitoring production data pipelines. It combines visual development with coding options, and workflows can use dependencies, error handling, and checkpoints for manual intervention. Jobs can start from schedules, message queues, APIs, or detected files. Wrangler provides self-service data preparation, while Data Manager supports data stewardship, master data management, and manual review of in-flight data. The platform includes connectors, supports custom connectors, and lists REST, SOAP, and GraphQL protocols; Salesforce transfers can use Bulk API connectors, with SOAP API available for lower-volume queries. CloverDX can run on-premises, in cloud environments, in Docker or Kubernetes containers, and in hybrid environments. Its AI Assistant can plan, build, test, and document pipelines, using a customer-provided provider key or local models. The 45-day full-feature trial runs on the customer's infrastructure, includes support access, and has no data-volume restrictions. Pricing is on request; the listed plans are Standard, Plus, and Enhanced.

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Google Cloud Data Fusion

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.

Visit cloud.google.com