AWS Data Pipeline vs. Confluent

Confluent

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
AWS Data Pipeline	Score 6.2 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
Confluent	Score 9.2 out of 10	N/A	Confluent Cloud is a cloud-native service for Apache Kafka used to connect and process data in real time with a fully managed data streaming platform. Confluent Platform is the self-managed version.	$385 per month

Pricing

AWS Data Pipeline

Confluent

Editions & Modules

No answers on this topic

Basic: $0
Standard: Starting at ~$385
per month
Enterprise: Starting at ~$1,150
per month

Offerings

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

Entry-level Setup Fee

No setup fee

Additional Details

—

Confluent monthly bills are based upon resource consumption, i.e., you are only charged for the resources you use when you actually use them: Stream: Kafka clusters are billed for eCKUs/CKUs ($/hour), networking ($/GB), and storage ($/GB-hour). Connect: Use of connectors is billed based on throughput ($/GB) and a task base price ($/task/hour). Process: Use of stream processing with Confluent Cloud for Apache Flink is calculated based on CFUs ($/minute). Govern: Use of Stream Governance is billed based on environment ($/hour). Confluent storage and throughput is calculated in binary gigabytes (GB), where 1 GB is 2^30 bytes. This unit of measurement is also known as a gibibyte (GiB). Please also note that all prices are stated in United States Dollars unless specifically stated otherwise. All billing computations are conducted in Coordinated Universal Time (UTC).

More Pricing Information

Community Pulse
	AWS Data Pipeline	Confluent

Features

AWS Data Pipeline

Confluent

Streaming Analytics

Comparison of Streaming Analytics features of Product A and Product B
	AWS Data Pipeline - Ratings	Confluent 9.1 2 Ratings 13% above category average
Real-Time Data Analysis	00 Ratings	10.02 Ratings
Visualization Dashboards	00 Ratings	8.02 Ratings
Data Ingestion from Multiple Data Sources	00 Ratings	10.02 Ratings
Low Latency	00 Ratings	9.02 Ratings
Integrated Development Tools	00 Ratings	8.02 Ratings
Linear Scale-Out	00 Ratings	9.02 Ratings
Data Enrichment	00 Ratings	10.01 Ratings

Best Alternatives
	AWS Data Pipeline	Confluent
Small Businesses	Skyvia Score 10.0 out of 10	IBM Streams (discontinued) Score 9.0 out of 10
Medium-sized Companies	Astera Data Pipeline Builder (Centerprise) Score 8.9 out of 10	Tealium Customer Data Hub Score 8.4 out of 10
Enterprises	Control-M Score 9.3 out of 10	Spotfire Streaming Score 5.2 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	AWS Data Pipeline	Confluent
Likelihood to Recommend	10.0 (1 ratings)	10.0 (2 ratings)
Support Rating	- (0 ratings)	10.0 (1 ratings)

User Testimonials
	AWS Data Pipeline	Confluent
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	Confluent If you have a need to stream data, real time or segmented structured data then Confluent is a great platform to do so with. You won't run into packet transfer size limitations that other platforms have. Flexibility in on-prem, cloud, and managed cloud offerings makes it very flexible no matter how you choose to implement. Incentivized Verified User Anonymous Read full review
Pros	Amazon AWS Helps you easily create complex data processing workloads Fault tolerant Highly available Incentivized Vaibhav Wadikar Data Engineer Read full review	Confluent Products work great. Training is available. Customer support is good. Incentivized Verified User Anonymous Read full review
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	Confluent Cloud based Azure platform features for Confluent lacks behind AWS And GCP Incentivized Verified User Anonymous Read full review
Support Rating	Amazon AWS No answers on this topic	Confluent The support from the Confluent platform is great and satisfying. We have been working with Confluent for more than a year now. They sent out resident architects to help us set up Confluent cluster on our cloud and help us troubleshoot problems we have encountered. Overall, it has been a great experience working with the Confluent Platform. Incentivized Verified User Anonymous Read full review
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	Confluent For our use case it was very important that the technology we were working with fit into our Azure architecture, and met our data processing size requirements to stream data within certain SLAs. Confluent more than met our performance requirements and compared to the others scale options and cost to run it was more than financially viable as a platform solution to our global operations. Incentivized Verified User Anonymous Read full review
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	Confluent It enables us to develop event driven application. It increases our ability to handle streaming data. It reduces latency of communication. Incentivized Verified User Anonymous Read full review
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