AWS Data Pipeline

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Data Pipeline
Score 9.5 out of 10
N/A
AWS Data Pipeline is a web service used to 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, users can regularly access data where it’s stored, transform and process it at scale, and transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. AWS Data Pipeline is designed to help create complex data processing workloads that are fault tolerant,…N/A
Pricing
AWS Data Pipeline
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Offerings
Pricing Offerings
AWS Data Pipeline
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No
Entry-level Setup FeeNo setup fee
Additional Details
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Community Pulse
AWS Data Pipeline
Considered Both Products
AWS Data Pipeline
Top Pros
Top Cons
Best Alternatives
AWS Data Pipeline
Small Businesses
Skyvia
Skyvia
Score 9.6 out of 10
Medium-sized Companies
Astera Centerprise
Astera Centerprise
Score 8.8 out of 10
Enterprises
Astera Centerprise
Astera Centerprise
Score 8.8 out of 10
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User Ratings
AWS Data Pipeline
Likelihood to Recommend
10.0
(1 ratings)
User Testimonials
AWS Data Pipeline
Likelihood to Recommend
Amazon AWS
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.
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Pros
Amazon AWS
  • Helps you easily create complex data processing workloads
  • Fault tolerant
  • Highly available
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Cons
Amazon AWS
  • Pipeline Stuck in Pending Status
  • Pipeline Component Stuck in Waiting for Runner Status
  • EMR Cluster Fails With Error
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Alternatives Considered
Amazon AWS
AWS data pipelines are easy to use over data factory for data engineers
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Return on Investment
Amazon AWS
  • Easy to use
  • Data engineers are able to create the data pipelines quickly and effectively
  • Scalable and Fault tolerant
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