We compared Confluent and Amazon Kinesis based on our user's reviews in several parameters.
Based on user reviews, Confluent is praised for its efficient handling of vast amounts of data, seamless integration with various systems, and strong customer support. In contrast, Amazon Kinesis is commended for its real-time data processing capabilities, flexibility in integration with other AWS services, and user-friendly pricing and licensing. Confluent users highlight the need for improved UI and setup simplification, while Amazon Kinesis users suggest better documentation, UI enhancements, and scalability improvements. Ultimately, both platforms have received positive ROI feedback, with users experiencing returns on their investments.
Features: Confluent's valuable features include efficient handling of vast amounts of data, seamless integration with external systems, and comprehensive monitoring and management capabilities. Amazon Kinesis, on the other hand, offers efficient real-time processing of high data volumes, flexible data streaming and processing options, easy integration with AWS services, and availability of various tools and APIs.
Pricing and ROI: The setup cost for Confluent's product has mixed sentiments from users, with some finding it manageable but others finding it complex. In contrast, users have positive feedback about the minimal and straightforward setup cost of Amazon Kinesis product., Confluent's product has received positive feedback for its strong return on investment. On the other hand, Amazon Kinesis offers significant ROI through cost savings, improved data processing efficiency, real-time analytics capabilities, scalability, and elasticity.
Room for Improvement: Confluent can improve its user interface and setup process, as well as provide better documentation. On the other hand, Amazon Kinesis needs enhancements in documentation, user interface, scalability, integrations, error handling, pricing, and customer support.
Deployment and customer support: User feedback on Confluent's tech solution indicates varying durations for deployment, setup, and implementation phases. In contrast, user feedback on Amazon Kinesis shows different timeframes for deployment and setup, emphasizing the need to consider them together or separately., Confluent's customer service is highly regarded for prompt and efficient support, while Amazon Kinesis is praised for outstanding assistance and representatives going above and beyond to address issues.
The summary above is based on 18 interviews we conducted recently with Confluent and Amazon Kinesis users. To access the review's full transcripts, download our report.
"Everything is hosted and simple."
"The integration capabilities of the product are good."
"The management and analytics are valuable features."
"The solution has the capacity to store the data anywhere from one day to a week and provides limitless storage for us."
"The feature that I've found most valuable is the replay. That is one of the most valuable in our business. We are business-to-business so replay was an important feature - being able to replay for 24 hours. That's an important feature."
"The most valuable feature of Amazon Kinesis is real-time data streaming."
"The solution's technical support is flawless."
"I like the ease of use and how we can quickly get the configurations done, making it pretty straightforward and stable."
"Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance."
"I find Confluent's Kafka Connectors and Kafka Streams invaluable for my use cases because they simplify real-time data processing and ETL tasks by providing reliable, pre-packaged connectors and tools."
"It is also good for knowledge base management."
"The monitoring module is impressive."
"The most valuable is its capability to enhance the documentation process, particularly when creating software documentation."
"I would rate the scalability of the solution at eight out of ten. We have 20 people who use Confluent in our organization now, and we hope to increase usage in the future."
"A person with a good IT background and HTML will not have any trouble with Confluent."
"We mostly use the solution's message queues and event-driven architecture."
"AI processing or cleaning up data would be nice since I don't think it is a feature in Amazon Kinesis right now."
"The solution has a two-minute maximum time delay for live streaming, which could be reduced."
"One thing that would be nice would be a policy for increasing the number of Kinesis streams because that's the one thing that's constant. You can change it in real time, but somebody has to change it, or you have to set some kind of meter. So, auto-scaling of adding and removing streams would be nice."
"Amazon Kinesis should improve its limits."
"Amazon Kinesis involved a more complex setup and configuration than Azure Event Hub."
"Snapshot from the the from the the stream of the data analytic I have already on the cloud, do a snapshot to not to make great or to get the data out size of the web service. But to stop the process and restart a few weeks later when I have more data or more available of the client teams."
"The price is not much cheaper. So, there is room for improvement in the pricing."
"Kinesis Data Analytics needs to be improved somewhat. It's SQL based data but it is not as user friendly as MySQL or Athena tools."
"Confluent has a good monitoring tool, but it's not customizable."
"Currently, in the early stages, I see a gap on the security side. If you are using the SaaS version, we would like to get a fuller, more secure solution that can be adopted right out of the box. Confluence could do a better job sharing best practices or a reusable pattern that others have used, especially for companies that can not afford to hire professional services from Confluent."
"It would help if the knowledge based documents in the support portal could be available for public use as well."
"There is no local support team in Saudi Arabia."
"Confluence could improve the server version of the solution. However, most companies are going to the cloud."
"It could be improved by including a feature that automatically creates a new topic and puts failed messages."
"It requires some application specific connectors which are lacking. This needs to be added."
"It could have more integration with different platforms."
Amazon Kinesis is ranked 1st in Streaming Analytics with 24 reviews while Confluent is ranked 4th in Streaming Analytics with 21 reviews. Amazon Kinesis is rated 8.0, while Confluent is rated 8.4. The top reviewer of Amazon Kinesis writes "Used for media streaming and live-streaming data". On the other hand, the top reviewer of Confluent writes "Has good technical support services and a valuable feature for real-time data streaming ". Amazon Kinesis is most compared with Azure Stream Analytics, Amazon MSK, Apache Flink, Google Cloud Dataflow and Apache Spark Streaming, whereas Confluent is most compared with Amazon MSK, Databricks, AWS Glue, Oracle GoldenGate and Fivetran. See our Amazon Kinesis vs. Confluent report.
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