Apache Hop

Purpose: Building, orchestrating, and running data integration pipelines across local, remote, and distributed execution environments.

Inferred · not functionally tested

Audience: data engineers and integration developers

Inferred · not functionally tested

Functions: workflow_automation

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: API, WEB · deployment: browser, self_hosted, cloud_managed, cli

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: hop.apache.org · github.com. These links do not verify the individual claims.

Apache Hop sits in PulseGate's Data integration & ETL category. Inferred · not functionally tested: Building, orchestrating, and running data integration pipelines across local, remote, and distributed execution environments. Inferred · not functionally tested: It is built as an open-source project for data engineers and integration developers. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: It runs on the web and the command line, and it can be self-hosted.

Apache Software Foundation builds and maintains Apache Hop, and it first shipped in 2019. The project is developed in the open on GitHub with 1.5k stars and 679 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include visual pipeline canvas, workflow design, and pipeline preview.

Summary written by a language model from the project’s public pages.