Making Confluent Cloud 10x More Elastic Than Apache Kafka | Confluent Making Confluent Cloud 10x More Elastic Than Apache Kafka

This post details how Confluent Cloud achieves 10x greater elasticity than Apache Kafka through its Intelligent Storage system. It explains that by keeping most data in object storage and a smaller fraction on local disks, Confluent Cloud significantly reduces the amount of data that needs to be moved during cluster scaling operations. This leads to scaling times that are up to 30x faster than vanilla Apache Kafka. The post also highlights that this elasticity applies to both scaling up and down, improving resiliency by enabling faster recovery from failures and quicker fleet-wide upgrades. Real-world data shows that Confluent Intelligent Storage decreased cluster expansion times by an average of 69%, with extreme cases seeing a 954% decrease.
More from the Kafka Infinite Storage trail
- Apache Kafka® vs Confluent Cloud: Latency Benchmarking Results
- Lowering Kafka Costs by Improving Utilization and Ease of Use
- Kafka Storage That’s 10x More Scalable and Elastic with Confluent
- How Instacart Used Confluent to Scale 10 Years of Growth in 6 Weeks
- How Confluent Ensures Data Integrity for 8 Trillion Kafka Messages Per Day