After four months of work on well over 200 tickets, the Apache Hop PMC and community are pleased to announce the general availability of Apache Hop 1.1.0. This 1.1.0 release is the result of a massive effort by the Apache Hop community.
The Hop Orchestration Platform, or Apache Hop, aims to facilitate all aspects of data and metadata orchestration. Hop is an entirely new open source data integration platform that is easy to use, fast and flexible. Hop aims to be the future of data integration. Visual development enables developers to be more productive than they can be through code. Our Design once, run anywhere workflows and pipelines can be designed in the Hop Gui and run on the Hop native engine (local or remote), or on Spark, Flink, Google Dataflow or AWS EMR through Beam. Lifecycle Management enables developers and administrators to switch between projects, environments and purposes without leaving your train of thought. A number of highlights in the 1.1.0 release are: - Hop Server now supports SSL, projects and environments, and asynchronous web services - the Docker image now (optionally) supports projects, environments and logging options - Apache Beam is updated to 2.35.0 with support for Apache Spark 3.1.2 and Apache Flink 1.13.5, service accounts for Google Cloud Dataflow and DataflowServiceOptions. - new transform plugins: Hop Server Status, Metadata Input, Apache Tika - major updates to the Neo4j Graph Output transform to support more complex graphs - lots of Hop Gui improvements to work with large workflows and pipelines, lazy file loading and a warning when opening large files - Log4j is now completely removed - lots of other improvements for Apache Kafka, CockroachDB, internationalization, documentation and more - community growth The release is available for immediate download at: https://hop.apache.org/download/ For more details please take a look at the release announcement at: https://hop.apache.org/blog/2022/01/hop-1.1.0/ Thanks to all involved, Bart Maertens on behalf of the Apache Hop PMC
