AWS Data Pipeline vs. Rudderstack

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.

Incentivized

Rudderstack is a great platform for capturing events from various systems and tying them all together in once place. This allows you to have a holistic view of your customer and reach them through various downstream platforms. It also enables the activation of data from your data warehouse into other platforms.

Incentivized

• Helps you easily create complex data processing workloads
• Fault tolerant
• Highly available

Incentivized

• Event streams
• Reverse ETL
• Identity resolution

Incentivized

• Pipeline Stuck in Pending Status
• Pipeline Component Stuck in Waiting for Runner Status
• EMR Cluster Fails With Error

Incentivized

• Alerting
• Destination catalog

Incentivized

AWS data pipelines are easy to use over data factory for data engineers

Incentivized

Rudderstack offers a similar core product as Segment but differentiates itself with better reverse ETL and data warehouse integrations. They are also significantly less expensive than Segment. While Segment has more downstream destinations than Rudderstack this didn't negatively impact our use case

Incentivized

• Easy to use
• Data engineers are able to create the data pipelines quickly and effectively
• Scalable and Fault tolerant

Incentivized

• Significant savings in developer resources
• Faster moving product insights

Incentivized