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Head-to-head · ETL Software

Keboola vs Apache Hop

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Keboola #1 in ETL Software 9.4/10 Free plan Free plan✓ 3 of 3 features Visit Keboola
Apache Hop #5 in ETL Software 8.9/10 Free plan Free plan✓ 3 of 3 features Visit Apache Hop

Keboola leads on 0 checks, Apache Hop on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreKeboola · 9.4/10
  • Free planboth

Keboola scores higher on our rubric for etl software: 9.4 against 8.9 out of 10; our editors rank them #1 and #5.

Keboola is the better fit for teams wanting managed ETL with a free tier. Apache Hop is the better fit for open-source visual ETL teams.

  • Keboola fits best

    Teams wanting managed ETL with a free tier

  • Apache Hop fits best

    Open-source visual ETL teams

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Keboola 9.4/10 Visit ↗ Apache Hop 8.9/10 Visit ↗
At a glance
Editor score 9.4 8.9
Ranking #1 in ETL Software #5 in ETL Software
Best for Teams wanting managed ETL with a free tier Open-source visual ETL teams
Pricing model Free plan + paid Free
Starting price $0.14/unit usage-based Free plan
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted, Desktop
Platforms Web Windows, macOS, Linux
Support Live chat, Docs Community, Docs
Integrations 1,500+ integrations 20 integrations
Built for Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Keboola 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
  • Free plan includes unlimited ETL/ELT pipelines and 1,500+ data sources
  • Supports SQL, Python, R, dbt, CDC, lineage, cataloging, and monitoring
  • Hybrid, private VPC, API, CLI, and AI-assisted pipeline operations
  • 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
  • Free plan is limited to one Keboola project
  • Extra compute after the free allocation costs $0.14 per minute
  • Enterprise pricing requires contacting sales
  • 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

Keboola is a cloud data integration and operations platform for data teams, analysts, and enterprises. It combines managed connectors for SaaS applications, databases, event streams, and REST APIs with visual orchestration,…

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 →
  1. KeboolaETL Software 9.4Free plan
  2. Apache HopETL Software 8.9Free plan

Strengths and trade-offs

  • Keboola — where it wins

    • Free plan includes unlimited ETL/ELT pipelines and 1,500+ data sources
    • Supports SQL, Python, R, dbt, CDC, lineage, cataloging, and monitoring
    • Hybrid, private VPC, API, CLI, and AI-assisted pipeline operations

    Where it doesn't

    • Free plan is limited to one Keboola project
    • Extra compute after the free allocation costs $0.14 per minute
    • Enterprise pricing requires contacting sales
  • 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

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update