Whitepaper

StreamNative Cloud Vs Amazon MSK

Choosing the Right Solution for Your Business

Key Insights at a Glance

As companies migrate their workloads to the cloud, their expectation and understanding of cloud-native principles grow. They increasingly aim for solutions that are more closely aligned with modern cloud-native principles and capabilities. Apache Kafka has become the most popular open-source, distributed streaming platform that offers an array of use cases aligning perfectly with the principles of cloud-native architecture.

The engineering team at Calsoft conducted a benchmark study to evaluate the capabilities of StreamNative Cloud (“StreamNative”) and Amazon Managed Streaming for Apache Kafka (AWS MSK) across critical metrics such as:

Maximum Throughput: Measures the maximum data throughput of the system, showing the highest volume of incoming traffic that users can handle effectively.
Latency: Measuring the responsiveness and delay times at a fixed throughput.
Fault Tolerance: Measures the ability of the system to continue operating despite failures or malfunctions.

Why Read This Whitepaper?

Understand the technical comparisons: Learn how StreamNative and AWS MSK perform under distinct conditions and workloads.
Data-Driven Decision Making: Use our performance metrics and analysis to opt the best solution for your unique business needs.
Competitive Edge: Stay informed on how top cloud-native streaming platforms compare in real-world scenarios.

Download the full whitepaper to gain insights that can drive your cloud-native strategy forward and enhance your data streaming capabilities.

Download Whitepaper