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."
"I find almost all features valuable, especially the timing and fast pace movement."
"I have worked in companies that build tools in-house. They face scaling challenges."
"The scalability is pretty good."
"The management and analytics are valuable features."
"Amazon Kinesis has improved our ROI."
"The most valuable feature is that it has a pretty robust way of capturing things."
"Amazon Kinesis also provides us with plenty of flexibility."
"Confluence's greatest asset is its user-friendly interface, coupled with its remarkable ability to seamlessly integrate with a vast range of other solutions."
"The most valuable feature of Confluent is the wide range of features provided. They're leading the market in this category."
"The monitoring module is impressive."
"The documentation process is fast with the tool."
"One of the best features of Confluent is that it's very easy to search and have a live status with Jira."
"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."
"Kafka Connect framework is valuable for connecting to the various source systems where code doesn't need to be written."
"A person with a good IT background and HTML will not have any trouble with Confluent."
"AI processing or cleaning up data would be nice since I don't think it is a feature in Amazon Kinesis right now."
"Lacks first in, first out queuing."
"I think the default settings are far too low."
"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."
"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."
"Amazon Kinesis involved a more complex setup and configuration than Azure Event Hub."
"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."
"I suggest integrating additional features, such as incorporating Amazon Pinpoint or Amazon Connect as bundled offerings, rather than deploying them as separate services."
"The Schema Registry service could be improved. I would like a bigger knowledge base of other use cases and more technical forums. It would be good to have more flexible monitoring features added to the next release as well."
"In Confluent, there could be a few more VPN options."
"Confluent's price needs improvement."
"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."
"Areas for improvement include implementing multi-storage support to differentiate between database stores based on data age and optimizing storage costs."
"It could have more themes. They should also have more reporting-oriented plugins as well. It would be great to have free custom reports that can be dispatched directly from Jira."
"The pricing model should include the ability to pick features and be charged for them only."
Amazon Kinesis is ranked 1st in Streaming Analytics with 24 reviews while Confluent is ranked 4th in Streaming Analytics with 19 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.
See our list of best Streaming Analytics vendors.
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