# pentaho/pentaho-kettle

Pentaho Data Integration ( ETL ) a.k.a Kettle

Repository: https://github.com/pentaho/pentaho-kettle
Canonical: https://ross.abutalabs.com/products/pentaho-kettle
Language: Java
License: NOASSERTION
License Family: other
Last push: 2026-08-26T18:40:43+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 8, longevity 100
- inputs: {"age_days": 4712, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 8382, forks 3575 (observed 2026-08-28T04:10:20.717755+00:00)

## What it is
Pentaho Data Integration (Kettle) is an open-source ETL application for designing and running data extraction, transformation, and loading pipelines. It provides a graphical designer (Spoon), a Java execution engine, and a plugin architecture for connecting to many data sources.

## Use cases
- extract transform and load data between databases
- migrate data from one database to another
- build scheduled data pipelines
- cleanse and transform csv files into a data warehouse
- integrate data from multiple sources
- run batch data jobs on a schedule
- visual etl designer for data integration

## When to choose
- you need a mature GUI-based ETL tool with hundreds of built-in connectors
- you want to build data pipelines without writing code
- you need a self-hosted, open-source data integration platform

## When to avoid
- you prefer code-first pipeline frameworks like Airflow or dbt
- you need a lightweight CLI-only tool
- your license requirements demand a standard permissive open-source license

## Facets
- artifact type: application
- maturity: active
- function: etl, database, gui, workflow-automation, data-science
- domain: big-data, databases, developer-tools
- platform: jvm, cross-platform
- tags: data-integration, kettle, etl-tool, data-warehouse, transformation, spoon, pentaho, data-engineering, desktop

## Member repositories
- pentaho/pentaho-kettle (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:20.717755+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:27:27.957895+00:00, confidence not recorded.
  - readme: https://github.com/pentaho/pentaho-kettle (fetched 2026-08-28T04:10:20.717755+00:00, sha 3cbf81f321b3)
- Data as of 2026-08-30T08:39:29.467469+00:00.
