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Head-to-head · Data Integration

Apache Hop vs AWS Glue DataBrew

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score Apache Hop #3 in Data Integration 9.0/10 Free plan Free plan✓ 1 of 1 features Visit Apache Hop
AWS Glue DataBrew #8 in Data Integration 8.4/10 Paid ✓ 0 of 1 features Visit AWS DataBrew

Apache Hop leads on 1 check, AWS Glue DataBrew on 0, and 1 is even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreApache Hop · 9.0/10
  • Free planonly Apache Hop
  • Most featuresApache Hop · 1 of 1

Apache Hop scores higher on our rubric for data integration: 9.0 against 8.4 out of 10; our editors rank them #3 and #8.

Apache Hop offers free plan; AWS Glue DataBrew doesn't. On deployment, Apache Hop gives you Hybrid where AWS Glue DataBrew offers Cloud.

Apache Hop is the better fit for teams wanting free, flexible pipeline engineering. AWS Glue DataBrew is the better fit for AWS teams preparing and scheduling datasets.

  • Apache Hop fits best

    Teams wanting free, flexible pipeline engineering

  • AWS Glue DataBrew fits best

    AWS teams preparing and scheduling datasets

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Side by side

Feature Apache Hop 9.0/10 Visit ↗ AWS Glue DataBrew 8.4/10 Visit ↗
At a glance
Editor score 9.0 8.4
Ranking #3 in Data Integration #8 in Data Integration
Best for Teams wanting free, flexible pipeline engineering AWS teams preparing and scheduling datasets
Pricing model Free Paid
Starting price Free plan $0.48/unit usage-based
Free plan ✓ (best) —
Free trial — —
Deployment Cloud, Self-hosted, Desktop Cloud
Platforms Windows, macOS, Linux Web
Support Community, Docs Docs
Integrations 20 integrations 7 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Apache Hop 1/1 · AWS Glue DataBrew 0/1
Change data capture ✓ (best) Not checked yet
Specs
Deployment Hybrid Cloud
Prebuilt connectors Not checked yet Not checked yet
Sync frequency Not checked yet Not checked yet
Data transformations Not checked yet Not checked yet
Destination types 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
  • Run locally or on server, Spark, Flink, and Dataflow runtimes
  • Point-and-click profiling, anomaly detection, and data preparation
  • More than 250 built-in transformations and reusable, versioned recipes
  • Visual lineage and scheduled jobs with outputs to Amazon S3 and supported stores
Cons
  • Pipeline development is aimed at data engineers and integration teams
  • Support channels are community and documentation
  • Deployment choices include desktop, self-hosted, and cloud environments
  • Focused on data preparation rather than broad integration
  • Usage-based charges apply to interactive sessions and jobs
  • AWS-oriented ecosystem may not fit teams working across other platforms
Our verdict

Apache Hop is an open-source data integration, engineering, and orchestration platform for teams building repeatable pipelines and workflows. Its visual development environment combines metadata-driven configuration with a broad set of…

Read the review →

AWS Glue DataBrew is a cloud-based, visual data-preparation service for analysts and data scientists working with datasets for analytics or machine learning. Its point-and-click interface supports profiling, cleaning, normalizing, and…

Read the review →
  1. Apache HopData Integration 9.0Free plan
  2. AWS Glue DataBrewData Integration 8.4Paid

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
    • Run locally or on server, Spark, Flink, and Dataflow runtimes

    Where it doesn't

    • Pipeline development is aimed at data engineers and integration teams
    • Support channels are community and documentation
    • Deployment choices include desktop, self-hosted, and cloud environments

  • AWS Glue DataBrew — where it wins

    • Point-and-click profiling, anomaly detection, and data preparation
    • More than 250 built-in transformations and reusable, versioned recipes
    • Visual lineage and scheduled jobs with outputs to Amazon S3 and supported stores

    Where it doesn't

    • Focused on data preparation rather than broad integration
    • Usage-based charges apply to interactive sessions and jobs
    • AWS-oriented ecosystem may not fit teams working across other platforms

More comparisons

All data integration comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update