Apache Hop vs Mage

Apache Hop is an open-source platform for data integration and orchestration. Its visual canvas lets users assemble pipelines, preview rows at individual steps, and watch live data and metrics during execution. A pipeline can run locally, on Hop Server, on Apache Spark, or on Flink and Dataflow through Apache Beam. Hop includes more than 250 pipeline transforms, more than 80 workflow actions, and support for over 40 database dialects. Listed connections include PostgreSQL, MySQL, Oracle, SQL Server, Snowflake, BigQuery, Kafka, Salesforce, SAP, S3, REST, and SFTP. Teams can switch environments when moving projects from development to production and keep credentials outside pipeline definitions. Apache Hop is free under the Apache License 2.0. It runs on Linux, macOS, and Windows; Hop Web works in modern browsers. Release 2.19.0 requires Java 21. Docker images and a Kubernetes Helm chart are available; Hop Web is work in progress and provided as-is.

Mage is a web platform for building and operating data workflows. Its listed functions include workflow scheduling, pipeline monitoring, data quality checks, and version control. Integrations cover Stripe, Salesforce, BigQuery, HubSpot, databases, SaaS APIs, cloud storage, files, and streams. Hybrid deployment is available. Mage has a free plan, while Starter costs $29 a month, billed monthly, plus $0.50 per CPU-hour. Starter includes one developer seat, one development environment, and 50 AI credits per month. Team costs $100 a month, billed monthly, plus $0.50 per CPU-hour; it supports up to 10 developer seats, includes one environment, and provides 250 shared AI credits per month. Mage is headquartered in Santa Clara, California, United States.