Apache Kafka vs. IBM API Connect

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
IBM API Connect
Score 9.0 out of 10
N/A
IBM API Connect is a scalable API solution that helps organizations implement a robust API strategy by creating, exposing, managing and monetizing an entire API ecosystem across multiple clouds. As businesses embrace their digital transformation journey, APIs become critical to unlock the value of business data and assets. With increasing adoption of APIs, consistency and governance are needed across the enterprise. API Connect aims to help businesses…N/A
Pricing
Apache KafkaIBM API Connect
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache KafkaIBM API Connect
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Features
Apache KafkaIBM API Connect
API Management
Comparison of API Management features of Product A and Product B
Apache Kafka
-
Ratings
IBM API Connect
9.2
27 Ratings
10% above category average
API access control00 Ratings9.527 Ratings
Rate limits and usage policies00 Ratings9.622 Ratings
API usage data00 Ratings9.027 Ratings
API user onboarding00 Ratings9.327 Ratings
API versioning00 Ratings9.027 Ratings
Usage billing and payments00 Ratings8.819 Ratings
API monitoring and logging00 Ratings9.127 Ratings
Best Alternatives
Apache KafkaIBM API Connect
Small Businesses

No answers on this topic

NGINX
NGINX
Score 9.1 out of 10
Medium-sized Companies
IBM MQ
IBM MQ
Score 9.1 out of 10
NGINX
NGINX
Score 9.1 out of 10
Enterprises
IBM MQ
IBM MQ
Score 9.1 out of 10
NGINX
NGINX
Score 9.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache KafkaIBM API Connect
Likelihood to Recommend
8.3
(18 ratings)
8.8
(27 ratings)
Likelihood to Renew
9.0
(2 ratings)
9.1
(2 ratings)
Usability
10.0
(1 ratings)
8.5
(19 ratings)
Support Rating
8.4
(4 ratings)
-
(0 ratings)
User Testimonials
Apache KafkaIBM API Connect
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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IBM
IBM Connect is well suited for enterprises with enhanced security requirements and compliance monitoring for access. In our financial domain, we can centralize connectivity and monitoring and thus reduce our workload. It works great across our hybrid cloud deployment. However, it may not work that well for smaller firms, as the initial setup and maintenance costs may outweigh the benefits of using a central tool.
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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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IBM
  • Security. I would say creating and applying scopes to each operation is intuitive and clear.
  • Managing multiple path at the same time. Creating new path and operation is straightforward.
  • The analytics tab is good to see what APIs have trouble with errors
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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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IBM
  • One thing that could be improved is that it requires heavy hardware support. So making it less dependent on the hardware could free up the resources.
  • The hardware comes at a high cost which easily cross your budget if you try to scale the business through it.
  • It is quite time consuming and complex to setup and requires a technical person to set it up which again can increase the overall cost.
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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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IBM
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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IBM
It is an extremely easy platform to manipulate and productively develop. The IBM API Connect features and dashboard are very easy to access, and the navigation strategy is also cost-effective. IBM API Connect offers some capabilities that simplify the entire development operations while providing the most accurate and profitable data results, and the development project management is amazing.
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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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IBM
No answers on this topic
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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IBM
IBM API Connect and Apigee are both robust API management platforms. IBM API Connect was selected for its strong integration capabilities, hybrid cloud deployment options, and comprehensive analytics. It aligns well with organizations seeking flexibility and control over their API ecosystems, especially when dealing with complex integration scenarios across diverse environments.
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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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IBM
  • I consider IBM API Connect as a business capability enabler - the ROI level is practically secondary.
  • With this platform at the core, associated architectural framework and guardrails ensure that we can progress with distributed development and automation in autonomous teams - a key factor to deliver required time to market performance.
  • At this time, security and trust is key. A flexible yet secure API manager layer is necessary to ensure our relationships with partners and customers.
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