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.
"Setting Amazon Kinesis up is quick and easy; it only takes a few minutes to configure the necessary settings and start using it."
"One of the best features of Amazon Kinesis is the multi-partition."
"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 scalability is pretty good."
"The solution works well in rather sizable environments."
"The integration capabilities of the product are good."
"The most valuable feature of Amazon Kinesis is real-time data streaming."
"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."
"The documentation process is fast with the tool."
"The most valuable feature of Confluent is the wide range of features provided. They're leading the market in this category."
"The design of the product is extremely well built and it is highly configurable."
"The monitoring module is impressive."
"The solution can handle a high volume of data because it works and scales well."
"The client APIs are the most valuable feature."
"Their tech support is amazing; they are very good, both on and off-site."
"One area for improvement in the solution is the file size limitation of 10 Mb. My company works with files with a larger file size. The batch size and throughput also need improvement in Amazon Kinesis."
"The price is not much cheaper. So, there is room for improvement in the pricing."
"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."
"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."
"In order to do a successful setup, the person handling the implementation needs to know the solution very well. You can't just come into it blind and with little to no experience."
"The solution has a two-minute maximum time delay for live streaming, which could be reduced."
"Amazon Kinesis should improve its limits."
"AI processing or cleaning up data would be nice since I don't think it is a feature in Amazon Kinesis right now."
"Confluence could improve the server version of the solution. However, most companies are going to the cloud."
"It could be more user-friendly and centralized. A way to reduce redundancy would be helpful."
"The pricing model should include the ability to pick features and be charged for them only."
"They should remove Zookeeper because of security issues."
"Confluent has a good monitoring tool, but it's not customizable."
"The product should integrate tools for incorporating diagrams like Lucidchart. It also needs to improve its formatting features. We also faced issues while granting permissions."
"there is room for improvement in the visualization."
"The formatting aspect within the page can be improved and more powerful."
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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