AWS Data Pipeline vs. Lyftrondata

AWS Data Pipeline

14 Reviews and Ratings

Lyftrondata

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
AWS Data Pipeline	Score6 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
Lyftrondata	N/A	N/A	Lyftrondata is an enterprise data pipeline tool designed to eliminate the time spent by engineers building data pipelines manually, making data instantly available for insights.	$59 per month

Pricing

AWS Data Pipeline

Lyftrondata

No answers on this topic

On-Premise: starts at $629
per month
SAAS: starts at $59
per month
PAAS: starts at $649
per month

Pricing Offerings
AWS Data Pipeline	Lyftrondata
Free Trial
No	Yes
Free/Freemium Version
No	No
Premium Consulting/Integration Services
No	No

No setup fee

No setup fee

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Best Alternatives
	AWS Data Pipeline	Lyftrondata
Small Businesses	No answers on this topic	No answers on this topic
Medium-sized Companies	Apache Spark Score8.8 out of 10	Apache Spark Score8.8 out of 10
Enterprises	Apache Spark Score8.8 out of 10	Apache Spark Score8.8 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	AWS Data Pipeline	Lyftrondata
Likelihood to Recommend	10.0 (1 ratings)	- (0 ratings)

User Testimonials
	AWS Data Pipeline	Lyftrondata
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. Incentivized Vaibhav Wadikar Data Engineer Read full review	Lyftrondata No answers on this topic
Pros	Amazon AWS Helps you easily create complex data processing workloads Fault tolerant Highly available Incentivized Vaibhav Wadikar Data Engineer Read full review	Lyftrondata No answers on this topic
Cons	Amazon AWS Pipeline Stuck in Pending Status Pipeline Component Stuck in Waiting for Runner Status EMR Cluster Fails With Error Incentivized Vaibhav Wadikar Data Engineer Read full review	Lyftrondata No answers on this topic
Alternatives Considered	Amazon AWS AWS data pipelines are easy to use over data factory for data engineers Incentivized Vaibhav Wadikar Data Engineer Read full review	Lyftrondata No answers on this topic
Return on Investment	Amazon AWS Easy to use Data engineers are able to create the data pipelines quickly and effectively Scalable and Fault tolerant Incentivized Vaibhav Wadikar Data Engineer Read full review	Lyftrondata No answers on this topic
ScreenShots