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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SharePlex
Score 10.0 out of 10
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SharePlex from Quest Software is a data replication software offering near real-time replication and supporting a wide variety of databases.
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.
SharePlex really shines when set alongside GoldenGate. The licensing costs of the two products would appear to place them in entirely different ballparks yet they perform nearly identically in practice. SharePlex is suitable for heterogenous replication of one database to another. The list of targets is ever increasing, with support for all major RDBMS vendors as well as support for popular NoSQL and JSON replication. SharePlex is effective when replicating from on-premise to cloud. Whether that's migrating data, creating a high-availability presence in a public or private cloud, or populating a data mart, it does the job quite well.
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
When first introduced the Change Data Capture process was awkward. Each subsequent release has improved the process.
Sometimes the Shareplex monitoring service in Foglight gets overly aggressive in sending out error notifications and can end up spamming the admins with email alerts for one problem. We have had to tone that down.
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.
Support is very responsive. They take ownership of the problems and see them through to the finish. When a bug is found they work towards developing testing and making the fix available to us to solve the problem.
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.
SharePlex support is an award-winning team, which is available for 24 hours, and any time they have solutions with perfect expertise. Besides, SharePlex has supported data migration, with multiple reporting features that ensure there are comprehensive database evaluations. The simplicity of SharePlex installation also gives it a higher mark, is very efficient, and allows companies to understand it easily.
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.
