Forrester Wave Report Sparks Debate: Object Storage Definition and Vendor Inclusion Under Scrutiny

StorageNewsletter has published a critical review of "The Forrester Wave: Object Storage Solutions, Q2 2026" report, expressing "genuine surprise" and "disappointment" over its scope and vendor evaluations. The review highlights the omission of several "established pioneers and reference vendors" in the object storage space, such as Cloudian, DataCore (Swarm), IBM (Cloud Object Storage based on Cleversafe), MinIO, Ceph, and Quantum (ObjectScale). Conversely, the report includes vendors that are not "pure object-storage specialists" but rather offer object interfaces as part of broader, unified, or multiprotocol storage platforms. The critique also questions the inclusion criteria, particularly around revenue attribution for object storage within larger portfolios, and the mixing of cloud services with on-premises products in a single comparison. This critique is highly significant for senior cloud, DevOps, and AI analysts because it exposes a fundamental challenge in the rapidly evolving storage landscape: the definition and true nature of "object storage" itself. For practitioners, a Forrester Wave report is often a key resource for vendor selection and strategic planning. When such a report is perceived as flawed or incomplete, it directly impacts their ability to make informed decisions. The blurring lines between traditional storage with an S3 interface and truly object-native architectures create confusion. This matters deeply for architects designing data platforms, DevOps engineers implementing storage solutions, and AI specialists managing massive unstructured datasets, as selecting the wrong underlying technology can lead to performance bottlenecks, scalability issues, and unexpected costs. The absence of prominent open-source and on-premises object storage leaders also limits the utility of the report for hybrid and multi-cloud strategies. This debate over the Forrester Wave report fits squarely into the broader trend of storage convergence and the increasing demand for S3-compatible interfaces. As object storage has become the de facto standard for cloud-native applications, data lakes, and AI/ML workloads, many traditional storage vendors have rushed to add S3 API compatibility to their existing file or block storage systems. While this offers a familiar interface, it doesn't always translate to the inherent scalability, metadata richness, and cost-efficiency of purpose-built object storage. The rise of AI, in particular, has accelerated the need for massive-scale, highly performant, and cost-effective unstructured data storage, making the nuances of object storage architecture more critical than ever. The market is also seeing a push for unified data platforms, where block, file, and object capabilities are offered from a single vendor, further complicating the distinction between true object storage and S3-enabled traditional storage. This trend is evident in announcements like HPE Alletra Storage MP X10000 combining object storage with native file services, and the ongoing evolution of cloud provider offerings like AWS S3 Files aiming to bridge the gap between object and file access. In practice, this means practitioners cannot rely solely on market reports without deep scrutiny of their methodology and vendor inclusion. When evaluating object storage solutions, it's crucial to look beyond mere "S3 compatibility" and delve into the underlying architecture. Key considerations should include native object storage design versus an S3 gateway on top of file/block, true horizontal scalability, advanced metadata capabilities, data lifecycle management features, and integration with cloud-native ecosystems. Practitioners should prioritize solutions that offer robust data integrity, strong consistency models, and efficient cost structures for their specific use cases, especially for AI/ML data pipelines where performance and cost-at-scale are paramount. They should also consider the vendor's long-term commitment to object storage innovation and their ecosystem support. The trade-off often lies between the familiarity of an S3 interface on existing infrastructure and the full benefits of a truly object-native platform. Organizations should conduct thorough proof-of-concepts and engage with multiple vendors, including those potentially overlooked by broad market reports, to ensure the chosen solution genuinely meets their technical and business requirements.