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Designer-Server Integration Testing

Posted by Petr Uher on July 28, 2009

CloverETL's development team is preparing a new amazing feature, integration of CloverETL Designer with CloverETL Server. This feature shifts work with Clover to a much more comfortable level.

I was asked to participate on testing of it. And I decided to share my impressions.

The main feature of integration allows you to work with CloverETL's graph located on CloverETL Server in  the same way as if it would be located on your desktop machine. So no more copying of files from desktop to server, no more out-of-date files, all items are located only on server and accesible and editable in the Eclipse with CloverETL on your desktop, transformation graphs are editable in graphic format.

All graphs are run on server machine but you don't lose any of advantages useful for developing and debugging, you can view debug data on edge, view data on reader without running of the graph, see tracking information in tracking view etc. In addition all runs of graphs are tracked on server so you can see all execution logs in the Executions History tab of server administration interface.

After initial doubts I have realized that it works and now I'm fascinated with it :-). You can expect it with many other improvement in version 2.8 of CloverETL Designer. So forget Informatica, forget DataStage, use CloverETL :-).

Data integration software and ETL tools provided by the CloverDX platform (formerly known as CloverETL) offer solutions for data management tasks such as data integration, data migration, or data quality. CloverDX is a vital part of enterprise solutions such as data warehousing, business intelligence (BI) or master data management (MDM). CloverDX Designer (formerly known as CloverETL Designer) is a visual data transformation designer that helps define data flows and transformations in a quick, visual, and intuitive way. CloverDX Server (formerly known as CloverETL Server) is an enterprise ETL and data integration runtime environment. It offers a set of enterprise features such as automation, monitoring, user management, real-time ETL, data API services, clustering, or cloud data integration.