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What's the Difference Between Amazon AppFlow and AWS Data Pipeline?

Compare Amazon AppFlow and AWS Data Pipeline side by side — features, pricing, and ideal use cases to help you choose the right product.

Compare side-by-side

Comparisons
Amazon AppFlow
AWS Data Pipeline
Category

Analytics, Data Integration

Analytics, Data integration / ETL
Description

No-code integration for SaaS apps & AWS services

Process and move data between different AWS compute and storage services on a scheduled basis.
Best for
  • SaaS data ingestion
  • Data synchronization
  • CRM integration
  • Analytics pipelines
  • Scheduled data movement
  • ETL workflows
  • Cross-region data copy
  • Data backups
Key features
  • No-code interface
  • Data transformation
  • Encryption in transit
  • Scheduled & event-driven flows
  • Multiple SaaS connectors
  • Scheduling
  • Retry logic
  • Dependency tracking
  • On-premises support
  • Multiple data sources
Pricing model

Pay per flow run + data processed

Pay per activity and precondition
Free tier

No

—
Expert take

“AppFlow transfers data between SaaS apps and AWS without writing code. It supports 50+ sources including Salesforce, SAP, and Google Analytics with built-in data transformation.”
— Gary McLean, re:Post Top Contributor [profile]

“Data Pipeline orchestrates data movement between AWS services on a schedule. For new workloads, Step Functions or Glue workflows are more modern alternatives.”
— Gary McLean, re:Post Top Contributor [profile]
Product page

Learn more about Amazon AppFlow »

Learn more about AWS Data Pipeline »

When to use Amazon AppFlow or AWS Data Pipeline

Use Amazon AppFlow when:

  • SaaS data ingestion
  • Data synchronization
  • CRM integration
  • Analytics pipelines

Learn more about Amazon AppFlow »

Use AWS Data Pipeline when:

  • Scheduled data movement
  • ETL workflows
  • Cross-region data copy
  • Data backups

Learn more about AWS Data Pipeline »

AWS product comparisons

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