Amazon Managed Streaming for Apache Kafka (Amazon MSK) vs. Spark Streaming
A side-by-side comparison based on G2 review data.
| Metric | Amazon Managed Streaming for Apache Kafka (Amazon MSK) | Spark Streaming |
|---|---|---|
| Overall rating | 4.0 | 4.2 |
| Review count | 24 | 40 |
| Ease of use | 8.7 | 8.4 |
| Ease of setup | 8.8 | 7.9 |
| Quality of support | 9.2 | 8.8 |
| Meets requirements | 9.0 | 9.1 |
| NPS | 39.130435 | 39.473684 |
| Small Business | 47.8% | 30.8% |
| Mid-Market | 34.8% | 43.6% |
| Enterprise | 17.4% | 25.6% |
| Total page views | 123 | 74 |
| Total LLM citations | 279 | 66 |
Amazon Managed Streaming for Apache Kafka (Amazon MSK)
Amazon Managed Streaming for Apache Kafka (Amazon MSK) is an AWS streaming data service that manages Apache Kafka infrastructure and operations, making it easy for developers and DevOps managers to run Apache Kafka applications and Kafka Connect connectors on AWS, without the need to become experts in operating Apache Kafka. Amazon MSK operates, maintains, and scales Apache Kafka clusters, provides enterprise-grade security features out of the box, and has built-in AWS integrations that accelerate development of streaming data applications.
- Reliability
- Scalability
- Cloud Services
- Scaling
- Management Ease
- Maintenance Ease
Spark Streaming
Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part.