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.
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IBM API Connect
Score 8.9 out of 10
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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…
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.
Overall, it can be stated that IBM API Connect has many benefits and can easily manage complicated integrations. The platform performs best in large environments, especially where microservices and processing of multiple API dependencies are required. On average, we have processed thousands of API calls within a second with good response time.
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).
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
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
I have given an 8 out of 10 rating because I believe multiple authentication security techniques, such as OAUTH, MTLS, JWK, etc., are supported out of the box for APIs. A single interface may be used for API development, automation, and administration, ensuring security and boosting productivity. Highly regarded compared to its rivals, indicating that it has provided good service over time. Although It takes a lot of time and effort to set up initially. However, once everything is set up, it is quite simple to administer, especially because there is only one interface to utilize. This makes it very straightforward to handle.
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.
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.
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.
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.
Centralizing on an API management platform was imperative. Being able to support SOAP UIs as well as REST APIs was required. Because of the tooling, service inventory and provisioning can be managed - regardless of the pricing and cost structures are used.
Constructing plans that provide tiering options based on rate limits help in onboarding new consumers. The lesser cost in onboarding through an API gateway outweighs the cost of modifying/configuring an API to handle multiple clients.
Defining guidance and onboarding practices while rolling out the product also helps in the adoption, reference architecture, and governance that can save your company money.
