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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SPS Commerce
Score 3.5 out of 10
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SPS Commerce is a retail network, connecting trading partners around the globe to optimize supply chain operations for retail partners. SPS Commerce supports data-driven partnerships with cloud technology. Their retail cloud services platform features supplier onboarding, EDI compliance, ERP integration, product content management, and sales analytics.
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.
When you find yourself growing and finding success faster than you can keep up with, SPS Commerce will save your life and your reputation. The services they offer are easy to understand, they are available with suggestions and ideas for better ways, personalization is available to best suit your needs or the needs of your customers so that you can really shine and relieve the worries that come with growing pains. SPS also helps to keep information accurate with less human touching to cause errors.
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
We have quite a few people here who use this portal, and we have it set up to receive an email when an order is available to print. As of now, you can only add a few recipients to receive those emails; it limits you.
Invoicing is challenging at times as you have to remember to go in and invoice. If you forgot, it is hard to find the order to invoice, as it seems to disappear.
We still haven't figured out how to have some of the invoicing features auto-populate, so there isn't so much to fill out. I wish some of those features were easier to use, or find if you have them.
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
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.
Phone support is generally very good and you can get a person on the phone within a few minutes. Their emailed customer support however is very poor and often goes several days or longer before receiving a response, if ever at all
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.
We reviewed many, SPS Commerce Fulfillment was the best "bang for our buck" with the level of growth we have been experiencing. The list of services they offered were exactly what we needed to be able to move our business to that next level of professionalism where we were growing faster than we could prepare ourselves for.
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.
I enrolled in a product I ended up not using because the vendor that required it ended our working relationship and SPS refused to offer a refund. After I canceled it, they continued to charge our account for three more months of service.
The interface is simple and easy to understand and use, so it saved time when preparing shipments.
