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AWS Data Pipeline - Data engineer's time saver
April 20, 2023

AWS Data Pipeline - Data engineer's time saver

Vaibhav Wadikar | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with AWS Data Pipeline

We are using AWS data pipeline to create data flows to extract, transform and load data to redshift, Basically creating ETL job flows using AWS data pipeline. It is helping data engineers to effectively and quickly create and manage complex data processing flows.
  • Helps you easily create complex data processing workloads
  • Fault tolerant
  • Highly available
  • Pipeline Stuck in Pending Status
  • Pipeline Component Stuck in Waiting for Runner Status
  • EMR Cluster Fails With Error
  • Easy way to create pipeline
  • Scalable infrastructure to process large amount of data
  • Fault tolerant
  • Easy to use
  • Data engineers are able to create the data pipelines quickly and effectively
  • Scalable and Fault tolerant
AWS data pipelines are easy to use over data factory for data engineers.

Do you think AWS Data Pipeline delivers good value for the price?

Yes

Are you happy with AWS Data Pipeline's feature set?

Yes

Did AWS Data Pipeline live up to sales and marketing promises?

Yes

Did implementation of AWS Data Pipeline go as expected?

Yes

Would you buy AWS Data Pipeline again?

Yes

AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. With AWS Data Pipeline, you can regularly access your data where it’s stored, transform and process it at scale, and efficiently transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR.