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- Amazon Kinesis Data Streams-vs-Confluent
Compare Amazon Kinesis Data Streams and Confluent 
- Users report that Confluent excels in real-time processing with a score of 9.0, while Amazon Kinesis Data Streams shines even brighter with a score of 9.4, indicating a slight edge in handling real-time data streams effectively.
- Reviewers mention that Confluent's integration capabilities are robust, scoring 8.8, but Amazon Kinesis Data Streams is slightly ahead with a score of 8.7, showcasing its ability to connect seamlessly with various data sources.
- G2 users highlight that Confluent offers strong data transformation features, scoring 8.1, while Amazon Kinesis Data Streams outperforms with a score of 9.2, making it a better choice for users focused on data modeling and transformation.
- Users on G2 report that Confluent has a solid quality of support with a score of 8.3, but Amazon Kinesis Data Streams receives higher praise with a score of 8.7, indicating a more favorable user experience in terms of customer service.
- Reviewers say that Confluent's user, role, and access management features score 8.1, while Amazon Kinesis Data Streams stands out with a score of 9.0, suggesting a more comprehensive approach to security and user management.
- Users report that both platforms have similar performance and reliability scores of 8.8, but Confluent's additional features for data visualization and workflow management are noted as beneficial for users looking for enhanced analytics capabilities.
It is another one of those extremely complicated AWS services to understand. What I love about it is how well it integrates with Pinpoint (another pretty good AWS service) and we used it to set up data streams to monitor user activity on campaigns,...
kinesis does not have golang sdk. kinesis does not have a good strategy for having multiple readers. Using kafka was much easier for users
I find it an excellent platform to have Managed Kafka, and the flexibility it offers is amazing. I liked the part of not managing the brokers and zookeepers and maintaining good abstraction while maintaining security features and separation of workloads...
Problematic in case of higher workloads and requests
It is another one of those extremely complicated AWS services to understand. What I love about it is how well it integrates with Pinpoint (another pretty good AWS service) and we used it to set up data streams to monitor user activity on campaigns,...
I find it an excellent platform to have Managed Kafka, and the flexibility it offers is amazing. I liked the part of not managing the brokers and zookeepers and maintaining good abstraction while maintaining security features and separation of workloads...
kinesis does not have golang sdk. kinesis does not have a good strategy for having multiple readers. Using kafka was much easier for users
Problematic in case of higher workloads and requests
