Apache Hop vs dbplyr
Apache Hop
hop.apache.org
dbplyr
dbplyr.tidyverse.orgSide by side
| Figure | Apache Hop | dbplyr |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 2 | 1 |
| Spec score · Data Transformation Tools | 9.0 (#5) | 7.8 (#18) |
| License | The project says Hop is developed in the open under the Apache License 2.0. | The dbplyr site identifies the package license as MIT. |
| Purpose | Apache Hop is an open source platform for data integration and orchestration, with visual pipelines and workflows. | dbplyr is the database backend for dplyr and converts dplyr code into SQL for remote database tables. |
| Support | Community support is volunteer-based and free, but the project says it cannot promise response times; commercial providers offer services such as SLAs, training, and migration. | The site links users to a getting-help page and a GitHub issue tracker for reporting bugs. |
Plans
In their own words
Apache Hop
Apache Hop is an open-source platform for data integration and orchestration. Its visual canvas lets users assemble pipelines, preview rows at individual steps, and watch live data and metrics during execution. A pipeline can run locally, on Hop Server, on Apache Spark, or on Flink and Dataflow through Apache Beam. Hop includes more than 250 pipeline transforms, more than 80 workflow actions, and support for over 40 database dialects. Listed connections include PostgreSQL, MySQL, Oracle, SQL Server, Snowflake, BigQuery, Kafka, Salesforce, SAP, S3, REST, and SFTP. Teams can switch environments when moving projects from development to production and keep credentials outside pipeline definitions. Apache Hop is free under the Apache License 2.0. It runs on Linux, macOS, and Windows; Hop Web works in modern browsers. Release 2.19.0 requires Java 21. Docker images and a Kubernetes Helm chart are available; Hop Web is work in progress and provided as-is.
dbplyr
dbplyr has no write-up on Specifiction yet; its figures are above.