Need advice about which tool to choose?Ask the StackShare community!
NPOI vs AWS Data Pipeline: What are the differences?
Developers describe NPOI as ".NET library that can read/write Office formats". It is a .NET library that can read/write Office formats without Microsoft Office installed. No COM+, no interop. On the other hand, AWS Data Pipeline is detailed as "Process and move data between different AWS compute and storage services". AWS Data Pipeline is a web service that provides a simple management system for data-driven workflows. Using AWS Data Pipeline, you define a pipeline composed of the “data sources” that contain your data, the “activities” or business logic such as EMR jobs or SQL queries, and the “schedule” on which your business logic executes. For example, you could define a job that, every hour, runs an Amazon Elastic MapReduce (Amazon EMR)–based analysis on that hour’s Amazon Simple Storage Service (Amazon S3) log data, loads the results into a relational database for future lookup, and then automatically sends you a daily summary email.
NPOI and AWS Data Pipeline can be primarily classified as "Data Transfer" tools.
Pros of AWS Data Pipeline
- Easy to create DAG and execute it1