IBM Cloud Pak for Data vs. Rocket Data Virtualization vs. V Programming Language vs. ZenScript Comparison Chart

Traditional methods of integrating mainframe data, ETL, data warehouses, building connectors, are simply not fast, accurate, or efficient enough for business today. More data than ever before is being created and stored on the mainframe, leaving these old methods further behind. Only data virtualization can close the ever-widening gap to automate the process of making mainframe data broadly accessible to developers and applications. You can curate (discover and map) your data once, then virtualize it for use anywhere, again and again. Finally, your data scales to your business ambitions. Data virtualization on z/OS eliminates the complexity of working with mainframe resources. Using data virtualization, you can knit data from multiple, disconnected sources into a single logical data source, making it much easier to connect mainframe data with your distributed applications. Combine mainframe data with location, social media, and other distributed data.

ZenScript originated from MineTweaker where a simple programming language is needed to allow users without programming knowledge to be able to execute simple commands by following the tutorials for it. Originally MineTweaker had a simple one-line-at-a-time parsed scripting system, but it quickly became clear that it wasn't flexible enough, so a simple parsed language was created. This parsed language worked quite well but was very inefficient as each value was wrapped into its own object. ZenScript allows mixed typed and typeless behavior. You don't need to define types anywhere, the compile will infer them where possible and exhibit typeless behavior when the type is effectively unknown. In nearly all the cases, the type is perfectly known and execution runs at native Java speed. Since there are types, they can be documented and enforced.