Since its announcement in the second half of 2023, AutoMQ has successfully transformed Apache Kafka from a Shared Nothing architecture to a Shared Storage architecture. This evolution leverages the scalability, elasticity, and cost-efficiency of cloud computing, resulting in significant cost savings of at least 50% for major companies like JD.com (JD.US), Zhihu (ZH.US), REDnote, POIZON, and Geely Auto (0175.HK). The advantages of Shared Storage architecture are clear and impactful.
However, are the benefits of shared storage limited to cost savings? In today's data-intensive software landscape, data is ultimately stored in object storage. Despite this convergence at the storage layer, disparate systems often struggle with data interoperability due to inconsistent storage formats. This necessitates complex ETL processes to break down data silos and harness the full potential of data at scale.
Fortunately, Apache Iceberg has emerged as the de facto standard for table formats, providing a unified format for data stored on S3. This standardization enables seamless data interaction and usage across different systems. Today, we stand on the brink of a new paradigm shift from Shared Storage to Shared Data.