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Research Brief: Oracle Database@AWS

Steve McDowell July 10, 2025

First announced in December 2024, Oracle and AWS have announced the general availability of Oracle Database@AWS. This strategic partnership positions Oracle Exadata Database Service and Oracle Autonomous Database on dedicated Oracle Cloud Infrastructure within AWS data centers.

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Research Brief: WEKA NeuralMesh, a Micro-Services-based AI Data Architecture

Steve McDowell June 23, 2025

WEKA recently announced NeuralMesh, its software-defined, microservices-based storage platform engineered for high-performance, distributed AI workloads. NeuralMesh introduces a dynamic mesh architecture that departs from traditional monolithic or appliance-bound storage systems.

It addresses the requirements of emerging AI applications, including agentic AI, large-scale inference, and token warehouse infrastructure, by delivering consistent microsecond-level latency, fault isolation, and scale-out performance across hybrid environments.

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Research Report: Understanding VMware Alternatives

Steve McDowell February 6, 2025

Broadcom’s acquisition of VMware has left a lasting impact on the enterprise IT landscape. Promising simplification, Broadcom’s licensing and bundling changes have instead created confusion, increased costs, and led to widespread dissatisfaction among VMware customers. Many of these customers are actively exploring alternatives, driven by frustration and the need to future-proof their IT environments. This Research Report takes a look at how to best approach looking for a VMware alternative.

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Research Brief: Oracle Exadata X11M

Steve McDowell January 10, 2025

Oracle recently launched of its latest Exadata platform, the Oracle Exadata X11M. Purpose-built to optimize the performance of Oracle Database, including Oracle Autonomous Database, X11M is a significant leap forward in speed and efficiency compared to previous generation Exadata systems for cloud, multi-cloud, and customer data centers.

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Research Report: Solving AI Data Pipeline Inefficiencies, the VAST Data Way

Steve McDowell July 31, 2024

While AI is foundational to the next wave of digital transformation, traditional data and storage infrastructure -even many parallel file systems- isn’t prepared for the demands required to support today’s AI lifecycle, which places unprecedented demands on storage and data infrastructure.

Developing an effective data infrastructure for AI requires a holistic approach, considering data, database, processing, and storage as a unified entity. This is how VAST Data approaches the challenge.

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