Azure Data Factory vs Google Cloud Data Fusion

Azure Data Factory has no write-up on Specifiction yet; its figures are above.

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.