Apache Kafka vs. Springbot

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.

Well Suited For:

• Small businesses with small marketing teams.
• Shopify Customers.
• Small businesses that want more reporting/segmented lists.
• Businesses that are upgrading from a service like Constant Contact or Mailchimp.

Less appropriate

• Customer who are currently using Klaviyo.
• Business who do not have a Shopify website.

• 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).

Incentivized

• The demographic data was great. I could see how many males vs. females, ages, income, married, with or without children. It gave me a good idea of who my customers were.
• Using their tracking URLs in all of our campaigns allowed us to get a better idea of what exactly was driving revenue.
• Not only could I see top performing products, which I can do within Magento, I could also see top selling categories and colors.
• I can pull a Coupon Usage report our of Magento, but Springbot gave me additional info like AOV and ROI on those codes.
• Springbot also gave me a lot of info about our abandoned carts. It shows us which products are most abandoned along with views, conversion rates, etc.
• Springbot gave us an Instagram Shop page that allowed us to curate social shares and then tie them to products on our site.

Incentivized

• 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

• After our purchase, I let spring or know that I was currently too busy to implement the system and to put things on hold. They ignored this request and kept charging us a monthly fee without using any of their systems. I have only logged in once. Nothing has been set up. They can see that from their side.
• After multiple emails back and forth their out was in the user agreement. I never asked for my money back only credit so I can regroup and when I have time get on to implant the systems. They tell me they don't do that.
• They don't care about any of the customer's needs. They only care about charging you that monthly fee. Terrible bus plan. With enough bad feedback, they will suffer from such a narrow plan.
• I wish we had actual information about the cons using the system. Unfortunately I was not given the opportunity to do unless I wanted to keep paying while not using the system.

Kafka is quickly becoming core product of the organization, indeed it is replacing older messaging systems. No better alternatives found yet

Incentivized

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

Incentivized

Springbot has top navigation that helps me quickly jump from emails to social, and reporting very easily.

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.

Incentivized

We have raved about Springbot's support because they always get back with us so quickly. Our rep, Jared has been phenomenal in helping us, always being available to chat with us and explaining some of the metrics with us so we can better understand. He completely handles our ads, checks on them, and lets us know when to update and why.

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.

Incentivized

Springbit is more expensive, more complicated and delivered less.

• 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.

Incentivized

• Springbot gave us a better idea of who our customer was. We just launched in January 2015 having been B2B previously. So we weren't really sure who we were marketing to.
• I only paid $200/month for the service so I didn't waste a ton of money trying it out. They have a 30 day cancellation policy so I wasn't stuck in a year long contract.
• It was a let down because I had such high hopes of everything it would allow me to do and see with one platform. Give them a couple more years and I think they will work out the kinks.

Incentivized