Apache Hop vs KNIME Analytics Platform

Apache Hop8.8Visit KNIME Analytics Platform8.6Visit

Higher score Apache Hop #5 in Data Transformation Tools 8.8/10 Free plan Free plan✓ 0 of 3 features Visit Apache Hop

vs

KNIME Analytics Platform #7 in Data Transformation Tools 8.6/10 Free plan Free plan✓ 0 of 3 features Visit KNIME

• Apache Hop fits best

  Teams seeking open-source visual ETL across runtimes

• KNIME Analytics Platform fits best

  Free visual workflows with broad connectivity

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Side by side

Feature	Apache Hop 8.8/10 Visit ↗	KNIME Analytics Platform 8.6/10 Visit ↗
At a glance
Editor score	8.8	8.6
Ranking	#5 in Data Transformation Tools	#7 in Data Transformation Tools
Best for	Teams seeking open-source visual ETL across runtimes	Free visual workflows with broad connectivity
Pricing model	Free	Free
Starting price	Free plan	Free
Free plan	✓	✓
Free trial	—	—
Deployment	Cloud, Self-hosted, Desktop	Desktop, Self-hosted, Cloud
Platforms	Windows, macOS, Linux	Windows, macOS, Linux
Support	Community, Docs	Community, Docs
Integrations	20 integrations	300+ integrations
Built for	Small business, Mid-market, Enterprise	Solo, Small business, Mid-market, Enterprise
Features Apache Hop 0/3 · KNIME Analytics Platform 0/3
Version control	Not checked yet	Not checked yet
Workflow orchestration	Not checked yet	Not checked yet
Data quality checks	Not checked yet	Not checked yet
Specs
Deployment model	Not checked yet	Not checked yet
Transformation interface	Not checked yet	Not checked yet
Supported data formats	Not checked yet	Not checked yet
Our review
Pros	Visual pipeline and workflow design with metadata-driven configuration 250+ transforms, 80+ workflow actions and 40+ database dialects Runs locally or on server, Spark, Flink and Dataflow	Free, open-source desktop workflows across Windows, macOS, and Linux Connects to 300+ data sources and services Combines visual workflows with Python, R, JavaScript, and API deployment
Cons	Visual design and multiple runtimes may require data-engineering expertise Deployment options include containers and Kubernetes Helm Support channels are community and documentation	Real-time REST deployment requires KNIME Hub or Server Automated ML is not included Desktop workflow execution may not fit teams seeking a cloud-first workspace
Our verdict	Apache Hop is an open-source platform for data orchestration, engineering, integration and ETL. Its visual environment lets data engineers and teams design pipelines and workflows, with metadata-driven configuration for repeatable… Read the review →	KNIME Analytics Platform is a free, open-source desktop application for building visual workflows across data access, transformation, analysis, modeling, and visualization. It is aimed at data analysts, data scientists, business users, and… Read the review →

Strengths and trade-offs

• Apache Hop — where it wins

  • Visual pipeline and workflow design with metadata-driven configuration
  • 250+ transforms, 80+ workflow actions and 40+ database dialects
  • Runs locally or on server, Spark, Flink and Dataflow

  Where it doesn't

  • Visual design and multiple runtimes may require data-engineering expertise
  • Deployment options include containers and Kubernetes Helm
  • Support channels are community and documentation

• KNIME Analytics Platform — where it wins

  • Free, open-source desktop workflows across Windows, macOS, and Linux
  • Connects to 300+ data sources and services
  • Combines visual workflows with Python, R, JavaScript, and API deployment

  Where it doesn't

  • Real-time REST deployment requires KNIME Hub or Server
  • Automated ML is not included
  • Desktop workflow execution may not fit teams seeking a cloud-first workspace

• Apache Hop8.8/10 · Free plan

  Visual ETL with broad transforms, CDC options and execution across multiple runtimes.

  Visit Apache HopFull verdict →
• KNIME Analytics Platform8.6/10 · Free plan

  A free visual platform for connected data preparation, analytics, modeling, and deployment.

  Visit KNIMEFull verdict →