Amazon Managed Streaming for Apache Kafka (Amazon MSK) vs. IBM Event Automation

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon MSK
Score 9.7 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
IBM Event Automation
Score 8.1 out of 10
N/A
IBM Event Automation enables businesses to accelerate their event-driven efforts. The event streams, event endpoint management and event processing capabilities help lay the foundation of an event-driven architecture for unlocking the value of events.N/A
Pricing
Amazon Managed Streaming for Apache Kafka (Amazon MSK)IBM Event Automation
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
Amazon MSKIBM Event Automation
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
Best Alternatives
Amazon Managed Streaming for Apache Kafka (Amazon MSK)IBM Event Automation
Small Businesses

No answers on this topic

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Medium-sized Companies
Confluent
Confluent
Score 9.2 out of 10
Confluent
Confluent
Score 9.2 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 5.8 out of 10
Spotfire Streaming
Spotfire Streaming
Score 5.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon Managed Streaming for Apache Kafka (Amazon MSK)IBM Event Automation
Likelihood to Recommend
-
(0 ratings)
8.1
(14 ratings)
Usability
-
(0 ratings)
8.2
(1 ratings)
Support Rating
-
(0 ratings)
9.1
(1 ratings)
Ease of integration
-
(0 ratings)
7.9
(9 ratings)
User Testimonials
Amazon Managed Streaming for Apache Kafka (Amazon MSK)IBM Event Automation
Likelihood to Recommend
Amazon AWS
No answers on this topic
IBM
IBM Event Streams is well suited for companies developing event driven Microservices. One of the biggest challenger with microservices is that your data gets distributed into little silos - event streaming (or better known as event sourcing) allows you to get a central source of truth in your event store. We are taking this approach with IBM Event Streams and it is well suited for building an event streaming / sourcing architecture.
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Pros
Amazon AWS
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IBM
  • It is adaptive and helps us create more engaging experiences on our platforms.
  • The Key metrics dashboard is rich with insights.
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Cons
Amazon AWS
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IBM
  • Provide Capabilities to connect the Event Streams via REST Proxy.
  • Schema Registry to handle Avro Formats.
  • Provide Kafka Connect Sink & Source Connectors.
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Usability
Amazon AWS
No answers on this topic
IBM
The product was very user friendly and extremely easy to get started with. The documentation is excellent and the free tier makes it very easy to get started with without having to make deep or long term financial commitments.
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Support Rating
Amazon AWS
No answers on this topic
IBM
I met with the support team and they have deep technical and development understanding of the needs and the problems which IBM Event Streams addresses. If you are looking for a product backed by a highly technical support team then IBM Event Streams is probably the best choice. I was specifically impressed by the level of technical understanding my support team demonstrated.
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Alternatives Considered
Amazon AWS
No answers on this topic
IBM
In Event Streams, applications send data by creating a message and sending it to a topic. To receive messages, applications subscribe to a topic. High availability and reliability. Event Streams offers a highly available and reliable Apache Kafka service running on IBM Cloud. Event Streams. Event Streams stores three replicas of your data to ensure the highest level of resilience across three availability zones.
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Return on Investment
Amazon AWS
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IBM
  • In using downstreams, the minimal features and the rate of releases were slow, makes us feel that there's no upgrades and other than that there's poor marketing of the product.
  • The adoption around the service is low, requires focused marketing.
  • Lack of visibility into topic depth , Monitoring capabilities
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ScreenShots