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."
"Everything is hosted and simple."
"Amazon Kinesis's main purpose is to provide near real-time data streaming at a consistent 2Mbps rate, which is really impressive."
"The integration capabilities of the product are good."
"One of the best features of Amazon Kinesis is the multi-partition."
"Its scalability is very high. There is no maintenance and there is no throughput latency. I think data scalability is high, too. You can ingest gigabytes of data within seconds or milliseconds."
"The management and analytics are valuable features."
"The most valuable feature of Amazon Kinesis is real-time data streaming."
"A person with a good IT background and HTML will not have any trouble with Confluent."
"The solution can handle a high volume of data because it works and scales well."
"The documentation process is fast with the tool."
"The benefit is escaping email communication. Sometimes people ignore emails or put them into spam, but with Confluence, everyone sees the same text at the same time."
"Kafka Connect framework is valuable for connecting to the various source systems where code doesn't need to be written."
"The most valuable is its capability to enhance the documentation process, particularly when creating software documentation."
"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."
"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."
"We were charged high costs for the solution’s enhanced fan-out feature."
"Something else to mention is that we use Kinesis with Lambda a lot and the fact that you can only connect one Stream to one Lambda, I find is a limiting factor. I would definitely recommend to remove that constraint."
"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."
"For me, especially with video streams, there's sometimes a kind of delay when the data has to be pumped to other services. This delay could be improved in Kinesis, or especially the Kinesis Video Streams, which is being used for different use cases for Amazon Connect. With that improvement, a lot of other use cases of Amazon Connect integrating with third-party analytic tools would be easier."
"Kinesis can be expensive, especially when dealing with large volumes of data."
"The solution has a two-minute maximum time delay for live streaming, which could be reduced."
"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."
"There is no local support team in Saudi Arabia."
"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."
"They should remove Zookeeper because of security issues."
"It could have more integration with different platforms."
"there is room for improvement in the visualization."
"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."
"Confluent's price needs improvement."
"In Confluent, there could be a few more VPN options."
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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