Amazon EventBridge vs. Amazon Kinesis

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon EventBridge
Score 7.9 out of 10
N/A
Amazon EventBridge is a serverless event bus used to build event-driven applications at scale using events generated from applications, integrated Software-as-a-Service (SaaS) applications, and AWS services. EventBridge delivers a stream of real-time data from event sources such as Zendesk or Shopify to targets like AWS Lambda and other SaaS applications.N/A
Amazon Kinesis
Score 9.6 out of 10
N/A
Amazon Kinesis is a streaming analytics suite for data intake from video or other disparate sources and applying analytics for machine learning (ML) and business intelligence.
$0.01
per GB data ingested / consumed
Pricing
Amazon EventBridgeAmazon Kinesis
Editions & Modules
No answers on this topic
Amazon Kinesis Video Streams
$0.00850
per GB data ingested / consumed
Amazon Kinesis Data Streams
$0.04
per hour per stream
Amazon Kinesis Data Analytics
$0.11
per hour
Amazon Kinesis Data Firehose
tiered pricing starting at $0.029
per month first 500 TB ingested
Offerings
Pricing Offerings
Amazon EventBridgeAmazon Kinesis
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Amazon EventBridgeAmazon Kinesis
Considered Both Products
Amazon EventBridge

No answer on this topic

Amazon Kinesis
Chose Amazon Kinesis
Kinesis is oriented to streaming in a scalable way large volumes of information in real-time. Glue is more an ETL so it is not well suited for real-time applications while Beanstalk is more a simple container platform. Lambda could do the job but it would require a lot of …
Chose Amazon Kinesis
The main benefit was around set up - incredibly easy to just start using Kinesis. Kinesis is a real-time data processing platform, while Kafka is more of a message queue system. If you only need a message queue from a limited source, Kafka may do the job. More complex use …
Chose Amazon Kinesis
Actually we didn't select Kinesis, we were forced into using it because SQS wasn't yet supported by Lambda. Unlike Kinesis, SQS supports both FIFO and standard queues which let us control order of events processed, as well as handle retry logic, failover logic, and set up …
Features
Amazon EventBridgeAmazon Kinesis
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Amazon EventBridge
-
Ratings
Amazon Kinesis
8.3
Ratings
3% above category average
Real-Time Data Analysis00 Ratings10.00 Ratings
Data Ingestion from Multiple Data Sources00 Ratings9.00 Ratings
Low Latency00 Ratings9.00 Ratings
Integrated Development Tools00 Ratings9.00 Ratings
Data wrangling and preparation00 Ratings10.00 Ratings
Linear Scale-Out00 Ratings6.10 Ratings
Data Enrichment00 Ratings5.00 Ratings
Best Alternatives
Amazon EventBridgeAmazon Kinesis
Small Businesses

No answers on this topic

IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10
Medium-sized Companies
Anypoint Platform
Anypoint Platform
Score 7.8 out of 10
Confluent
Confluent
Score 9.9 out of 10
Enterprises
Anypoint Platform
Anypoint Platform
Score 7.8 out of 10
Spotfire Streaming
Spotfire Streaming
Score 6.6 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon EventBridgeAmazon Kinesis
Likelihood to Recommend
-
(0 ratings)
9.0
(0 ratings)
Support Rating
-
(0 ratings)
7.1
(0 ratings)
User Testimonials
Amazon EventBridgeAmazon Kinesis
Likelihood to Recommend
No answers on this topic
Perfect for real-time data processing and streaming. Also, there's no need for any specific setup - you just start using it immediately and it easily integrates with the rest of AWS capabilities (like Redshift), although integration with Lambda could be better. You can make your overall analytics landscape way simpler with Kineses even if you have non-Amazon solutions like Tableau. It all integrates really well!
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Pros
No answers on this topic
  • Integrating with other Amazon services
  • Scaling requests
  • Totally serverless platform
  • Simple management
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Cons
No answers on this topic
  • Improve integration with AWS Lambda
  • Some duplicate records coming from the stream
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Support Rating
No answers on this topic
The documentation was confusing and lacked examples. The streams suddenly stopped working with no explanation and there was no information in the logs. All these were more difficult when dealing with enhanced fan-out. In fact, we were about to abort the usage of Kinesis due to a misunderstanding with enhanced fan-out.
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Alternatives Considered
No answers on this topic
Kinesis is oriented to streaming in a scalable way large volumes of information in real-time. Glue is more an ETL so it is not well suited for real-time applications while Beanstalk is more a simple container platform. Lambda could do the job but it would require a lot of programming to accomplish the same as Kinesis. In fact, our solution employed the four elements for different tasks but using Kinesis as the message bus.
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Return on Investment
No answers on this topic
  • Caused us to need to re-engineer some basic re-try logic
  • Caused us to drop some content without knowing it
  • Made monitoring much more difficult
  • We eventually switched back to SQS because Kinesis is not the same as a Queue system
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ScreenShots