Amazon Managed Streaming for Apache Kafka (Amazon MSK) vs. Confluent

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon MSK
Score 9.9 out of 10
N/A
Amazon MSK is a managed service enabling users to build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications. With Amazon MSK, use native Apache Kafka APIs to populate data lakes, stream changes to and from databases, and power machine learning and analytics applications.N/A
Confluent
Score 9.9 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.
$0
Pricing
Amazon Managed Streaming for Apache Kafka (Amazon MSK)Confluent
Editions & Modules
No answers on this topic
Basic
$0
Standard
Starting at ~$385
per month
Enterprise
Starting at ~$1,150
per month
Offerings
Pricing Offerings
Amazon MSKConfluent
Free Trial
NoNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsConfluent monthly bills are based upon resource consumption, i.e., you are only charged for the resources you use when you actually use them: Stream: Kafka clusters are billed for eCKUs/CKUs ($/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
Amazon Managed Streaming for Apache Kafka (Amazon MSK)Confluent
Features
Amazon Managed Streaming for Apache Kafka (Amazon MSK)Confluent
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Amazon Managed Streaming for Apache Kafka (Amazon MSK)
-
Ratings
Confluent
9.1
Ratings
13% above category average
Real-Time Data Analysis00 Ratings10.00 Ratings
Visualization Dashboards00 Ratings8.00 Ratings
Data Ingestion from Multiple Data Sources00 Ratings10.00 Ratings
Low Latency00 Ratings9.00 Ratings
Integrated Development Tools00 Ratings8.00 Ratings
Linear Scale-Out00 Ratings9.00 Ratings
Data Enrichment00 Ratings10.00 Ratings
User Ratings
Amazon Managed Streaming for Apache Kafka (Amazon MSK)Confluent
Likelihood to Recommend
-
(0 ratings)
10.0
(0 ratings)
Support Rating
-
(0 ratings)
10.0
(0 ratings)
User Testimonials
Amazon Managed Streaming for Apache Kafka (Amazon MSK)Confluent
Likelihood to Recommend
No answers on this topic
If your company needs to build event-driven applications, like in healthcare industry, you need to enhance interoperability, and you are seeking a reliable service with enterprise-grade support, Confluent is the best on the market you can get. Their product works great and they provide very good customer service.
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Pros
No answers on this topic
  • Products work great.
  • Training is available.
  • Customer support is good.
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Cons
No answers on this topic
  • Cloud based Azure platform features for Confluent lacks behind AWS And GCP
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Support Rating
No answers on this topic
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.
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Alternatives Considered
No answers on this topic
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.
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Return on Investment
No answers on this topic
  • Confluent replaced Microsoft Event Hubs in our environment and unblocked data platform services rollout globally.
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