Apache Kafka vs. AWS IoT Core

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Kafka
Score 8.4 out of 10
N/A
Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java. The Kafka event streaming platform is used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.N/A
AWS IoT Core
Score 7.8 out of 10
N/A
AWS IoT Core is a managed cloud service that lets connected devices interact with cloud applications and other devices. It includes the Device Gateway and the Message Broker, which connect and process messages between IoT devices and the cloud. AWS IoT Core connects AWS and Amazon services like AWS Lambda, Amazon Kinesis, Amazon S3, Amazon SageMaker, Amazon DynamoDB, Amazon CloudWatch, AWS CloudTrail, Amazon QuickSight, and Alexa Voice Service to build IoT applications that gather, process,…
$0.08
Per Million Minutes
Pricing
Apache KafkaAWS IoT Core
Editions & Modules
No answers on this topic
Connectivity
$0.08
Per Million Minutes
Rules Engine
$0.15
Per Million Actions
Messaging
$1.00
Per Million Messages
Offerings
Pricing Offerings
Apache KafkaAWS IoT Core
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
Features
Apache KafkaAWS IoT Core
Internet of Things
Comparison of Internet of Things features of Product A and Product B
Apache Kafka
-
Ratings
AWS IoT Core
8.1
15 Ratings
2% above category average
IoT Device Management00 Ratings8.115 Ratings
Device Security00 Ratings8.215 Ratings
IoT Data Management00 Ratings7.915 Ratings
IoT Analytics00 Ratings8.313 Ratings
IoT Integration00 Ratings8.114 Ratings
Best Alternatives
Apache KafkaAWS IoT Core
Small Businesses

No answers on this topic

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Medium-sized Companies
IBM MQ
IBM MQ
Score 9.0 out of 10

No answers on this topic

Enterprises
IBM MQ
IBM MQ
Score 9.0 out of 10

No answers on this topic

All AlternativesView all alternativesView all alternatives
User Ratings
Apache KafkaAWS IoT Core
Likelihood to Recommend
8.3
(18 ratings)
8.6
(15 ratings)
Likelihood to Renew
9.0
(2 ratings)
-
(0 ratings)
Usability
10.0
(1 ratings)
8.7
(4 ratings)
Support Rating
8.4
(4 ratings)
7.8
(4 ratings)
User Testimonials
Apache KafkaAWS IoT Core
Likelihood to Recommend
Apache
Apache Kafka is well-suited for most data-streaming use cases. Amazon Kinesis and Azure EventHubs, unless you have a specific use case where using those cloud PaAS for your data lakes, once set up well, Apache Kafka will take care of everything else in the background. Azure EventHubs, is good for cross-cloud use cases, and Amazon Kinesis - I have no real-world experience. But I believe it is the same.
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Amazon AWS
End-to-end encryption is an amazing feature because we use IoT to connect to various devices in order to gather data/ stats in real-time. We're able to publish solutions with ease and at a faster rate because of AWS IoT Core. However, its inability to interact with other IoT tools is a big con that I would like them to improve upon.
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Pros
Apache
  • Really easy to configure. I've used other message brokers such as RabbitMQ and compared to them, Kafka's configurations are very easy to understand and tweak.
  • Very scalable: easily configured to run on multiple nodes allowing for ease of parallelism (assuming your queues/topics don't have to be consumed in the exact same order the messages were delivered)
  • Not exactly a feature, but I trust Kafka will be around for at least another decade because active development has continued to be strong and there's a lot of financial backing from Confluent and LinkedIn, and probably many other companies who are using it (which, anecdotally, is many).
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Amazon AWS
  • AWS IoT Core integrates power analytics and an AI solution for sensor data processing.
  • Great protocol support including HTTPs and MQTT required to connect resource constraint IoT devices to cloud
  • High security standards during data transmission
  • Scalability and a great user community
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Cons
Apache
  • Sometimes it becomes difficult to monitor our Kafka deployments. We've been able to overcome it largely using AWS MSK, a managed service for Apache Kafka, but a separate monitoring dashboard would have been great.
  • Simplify the process for local deployment of Kafka and provide a user interface to get visibility into the different topics and the messages being processed.
  • Learning curve around creation of broker and topics could be simplified
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Amazon AWS
  • Ability to integrate with Ethercalc software solution
  • Ability to introduce NFC toolchains and systems which could be utilized in iot modular gateway solutions like drones
  • Ability to reduce latency as the solution scales is very much needed
  • Hybrid solution which can integrate other existing iot solutions into AWS iot core
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Likelihood to Renew
Apache
Kafka is quickly becoming core product of the organization, indeed it is replacing older messaging systems. No better alternatives found yet
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Amazon AWS
No answers on this topic
Usability
Apache
Apache Kafka is highly recommended to develop loosely coupled, real-time processing applications. Also, Apache Kafka provides property based configuration. Producer, Consumer and broker contain their own separate property file
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Amazon AWS
I give AWS IoT Core's overall usability this rating because it is very easy to use and is enjoyed by all of our staff. The only problem is that it sometimes glitches and it freezes a lot. So overall, the usability of AWS IoT Core is very good, and we will continue to use it.
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Support Rating
Apache
Support for Apache Kafka (if willing to pay) is available from Confluent that includes the same time that created Kafka at Linkedin so they know this software in and out. Moreover, Apache Kafka is well known and best practices documents and deployment scenarios are easily available for download. For example, from eBay, Linkedin, Uber, and NYTimes.
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Amazon AWS
It covers all the aspects of IoT services required for an IoT company. It supports all the industry-wide protocols for secure data transmission and integrates powerful AL and ML technology for data analytics. For data storage, Amazon S3 is a great solution. Strong tech support and user community. Since it is widely used as compared to other products, there is an abundance of training and learning material on the web.
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Alternatives Considered
Apache
I used other messaging/queue solutions that are a lot more basic than Confluent Kafka, as well as another solution that is no longer in the market called Xively, which was bought and "buried" by Google. In comparison, these solutions offer way fewer functionalities and respond to other needs.
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Amazon AWS
Azure IoT service provides more or less the same services as compared to AWS IoT core, however the costing of AWS lead us to continued usage of IoT core over Azure IoT services. Also, considering our existing technology stack is on AWS, it was a natural selection for better integration and ease of use.
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Return on Investment
Apache
  • Positive: Get a quick and reliable pub/sub model implemented - data across components flows easily.
  • Positive: it's scalable so we can develop small and scale for real-world scenarios
  • Negative: it's easy to get into a confusing situation if you are not experienced yet or something strange has happened (rare, but it does). Troubleshooting such situations can take time and effort.
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Amazon AWS
  • Gives confidence to prototype iot solutions across lots of devices in little time
  • Ability to meet requirements for managing a variety of communication protocols
  • Learning iot analytics and visualization for faster insights enablement
  • Onboarding devices and managing quickly without building inhouse solutions
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