Reduce AWS Data Pipeline costs with these tips
Orchestration service for periodic, data-driven workflows
AWS Data Pipeline cost saving tips
Optimize your AWS Data Pipeline costs with these tips
Use On-Demand Pricing
Opt for on-demand pricing for compute resources instead of reserved instances to optimize costs for intermittent usage based on the AWS Data Pipeline documentation.
Auto-Scaling EC2 Resources
Enable automatic scaling of EC2 resources used as data nodes to match capacity with workload, reducing costs by avoiding overprovisioning.
Archive Processed Data
Archive processed data to Amazon S3 Glacier or Glacier Deep Archive for long-term storage. Adjust data lifecycle policies and archive retrieval settings for optimized storage costs.
Service information & pricing
About AWS Data Pipeline
- About AWS Data Pipeline
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AWS Data Pipeline enables efficient and reliable data transfer and processing between AWS services and on-site sources. It facilitates complex data workflows, manages resources, task dependencies, transient failures, and even sends failure notifications. It can handle AWS and on-premise data, ensuring easy pipeline creation via drag-and-drop interfaces or templates. It supports custom tasks and offers features like scheduling and error handling.
- AWS Data Pipeline pricing
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AWS Data Pipeline pricing is based on the frequency and location of your activities and preconditions. High Frequency activities execute more than once a day, while Low Frequency activities run once a day or less. Rates differ for processes running on AWS and on-premises. Inactive pipelines (those in PENDING, INACTIVE, and FINISHED states) also figure in pricing. New AWS customers get 3 Low Frequency preconditions and 5 Low Frequency activities per month for free for a year.