Nextflow

Polly Workflow

Significant reduction in execution time with parallel processing of pipeline/sub-processes within a pipeline with support of polly's computationally resources
Offer users with interactive reports, timelines, DAGs, and trace documents—which we don't have currently but which will help with monitoring and boost the pipeline efficiency through better planning.
Reduced effort and more portability as dockerization of all the codes is not needed

All Polly multi-processing jobs that have a diverse machine needs and demand a lot of computing time can be converted into Nextflow pipeline, for an effective run.
As the code uses modularized processes, it is more adaptable since individual modules may be plugged into and used in other pipelines, increasing its reproducibility and flexibility.
For computationally intensive analyses to process enormous numbers of data and metadata, resource optimization is a major bonus, which in turn helps save cost.

Features	Polly Jobs	Nextflow Jobs
Ready to use Parallel processing	No	Yes
Machine configuration customization for each step/process/module in a workflow/pipeline	No	Yes
Dividing pipeline into individual modules which helps in easy customization and reproducibility	No	Yes
Need for dockerization	Yes	No
Informative and interactive report documents with timelines, DAGs and resource usage stats for pipeline executed	No	Yes