Talend Data Fabric vs Apache Hop

Talend Data Fabric9.1Visit Apache Hop8.9Visit

Higher score Talend Data Fabric #3 in ETL Software 9.1/10 Pricing on request ✓ 3 of 3 features Visit Talend

vs

Apache Hop #5 in ETL Software 8.9/10 Free plan Free plan✓ 3 of 3 features Visit Apache Hop

• Talend Data Fabric fits best

  Governed enterprise data integration

• Apache Hop fits best

  Open-source visual ETL teams

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Side by side

Feature	Talend Data Fabric 9.1/10 Visit ↗	Apache Hop 8.9/10 Visit ↗
At a glance
Editor score	9.1	8.9
Ranking	#3 in ETL Software	#5 in ETL Software
Best for	Governed enterprise data integration	Open-source visual ETL teams
Pricing model	Paid	Free
Starting price	Pricing on request	Free plan
Free plan	—	✓ (best)
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud, Self-hosted, Desktop
Platforms	Web	Windows, macOS, Linux
Support	Docs	Community, Docs
Integrations	15 integrations	20 integrations
Built for	Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Talend Data Fabric 3/3 · Apache Hop 3/3
Incremental loading	✓	✓
Change data capture	✓	✓
Custom code transforms	✓	✓
Specs
Deployment	Hybrid	Hybrid
Source connectors	Not checked yet	Not checked yet
Destination connectors	Not checked yet	Not checked yet
Transformation mode	Mixed	Mixed
Our review
Pros	Combines ingestion, transformation, quality, governance, and application integration Supports batch, real-time, incremental movement, and log-based CDC Offers reusable pipelines, connectors, custom code, and dynamic schemas	250+ pipeline transforms and 80+ workflow actions Runs locally, on servers, containers, Spark, Flink, and Dataflow Supports CDC, scripting, Kubernetes Helm, and 40+ database dialects
Cons	Pricing requires contact with sales No free plan is available Client-managed deployment can require greater internal administration	Its breadth may exceed the needs of simple ETL jobs Multiple execution runtimes add architecture choices to manage Teams wanting a packaged paid tier need a different procurement model
Our verdict	Talend Data Fabric is a client-managed data integration and governance platform from Qlik. It brings together ingestion, transformation, mapping, data quality, data integrity, governance, Trust Score assessment, and application or API… Read the review →	Apache Hop is an open-source data orchestration, engineering, integration, and ETL platform for data engineers and teams building repeatable integration workflows. Its visual environment supports pipeline and workflow design, while… Read the review →

Strengths and trade-offs

• Talend Data Fabric — where it wins

  • Combines ingestion, transformation, quality, governance, and application integration
  • Supports batch, real-time, incremental movement, and log-based CDC
  • Offers reusable pipelines, connectors, custom code, and dynamic schemas

  Where it doesn't

  • Pricing requires contact with sales
  • No free plan is available
  • Client-managed deployment can require greater internal administration

• Apache Hop — where it wins

  • 250+ pipeline transforms and 80+ workflow actions
  • Runs locally, on servers, containers, Spark, Flink, and Dataflow
  • Supports CDC, scripting, Kubernetes Helm, and 40+ database dialects

  Where it doesn't

  • Its breadth may exceed the needs of simple ETL jobs
  • Multiple execution runtimes add architecture choices to manage
  • Teams wanting a packaged paid tier need a different procurement model

• Talend Data Fabric9.1/10 · Pricing on request

  A broad, governed platform for complex batch, real-time, and hybrid data environments.

  Visit TalendFull verdict →
• Apache Hop8.9/10 · Free plan

  A broad, open-source ETL platform for teams that want visual design and runtime flexibility.

  Visit Apache HopFull verdict →