Amazon MSK Reviews

Amazon MSK enhances return by reducing integration time and enabling faster innovation and testing, leading to significant cost savings over alternative options like Confluent. It offers a flexible pay-per-use model that aligns well with development cycles and onboarding processes. Handling large data volumes efficiently, it outperforms other services, indicating a positive impact. Though there are savings, some users report a 60% cost increase that challenges the justification of these savings.

Amazon MSK pricing, while competitive compared to Confluence, varies based on use cases. Larger workloads make it cost-efficient as it manages resources without requiring constant nodes, unlike Kinesis. Some users note it can be expensive and suggest cheaper options. Licensing costs start at fifty dollars monthly. Costs increase with broker instance hours, storage, and AWS standard transfer costs, and while architecture may raise cloud expenses by 50%-60%, pricing aligns with enterprise-scale needs.

• "When you create a complete enterprise-driven architecture that is deployable on an enterprise scale, I would say that the prices of Amazon MSK and Confluent Platform become comparable."
• "The platform has better pricing than one of its competitors."
• "The price of Amazon MSK is less than some competitor solutions, such as Confluence."

Amazon MSK is utilized for data streaming in various domains. Users leverage it for real-time transaction tracking, customer data analysis in retail, communication, and integration between systems. In banking, it's used for tracking transactions, while in e-commerce, it's used to manage inventory data. It facilitates CDC processes and notification systems. Users also stream IoT data and run CDC pipelines for database migrations and logging, allowing for asynchronous event streaming, enhancing microservice communications and handling high data volumes efficiently.

Amazon MSK users express mixed experiences with customer service and support. Many find the service helpful and knowledgeable, especially in technical matters and managing queries. However, some mention decreased quality in service over time, indicating varying expertise levels. Response time is often rated positively. Customer satisfaction varies, with ratings from six to ten out of ten depending on specific support plans and encountered issues. Generally, users appreciate availability and assistance, but note room for improvement.

Many found Amazon MSK's initial setup straightforward, especially those familiar with Kafka or AWS, citing quick deployment and ease of obtaining information. Others noted it required specific knowledge and networking coordination. While some experienced lengthy installations and felt guidance was lacking, others appreciated the out-of-the-box installations and integration ease with AWS. Amazon MSK is reasonably priced, though users prioritize time and flexibility. It's most beneficial for those fully utilizing AWS Cloud.

Amazon MSK is noted for being highly scalable. Most users find it easy to scale, although some mention manual operational requirements. While some experience minor obstacles, particularly compared to auto-scaling options like Kinesis, others rate its scalability positively. The system supports both serverless and manual scaling, offering flexibility according to needs. Users acknowledge MSK's capacity to manage large data sets effectively, making it suitable even in environments with diverse scalability requirements.

Amazon MSK is largely stable, offering 99.9 percent availability. Users commend its reliability, although some report minor compatibility issues with older Windows versions when installing updates. They rate its stability between eight and nine out of ten, citing no latency or performance concerns and no downtimes or crashes. While MSK is relatively new, it maintains strong stability for most environments.