Amazon Web Services did not provide reference customers for this evaluation. Forrester’s take. Amazon Web Services is best suited for cloud-first organizations prioritizing ecosystem compatibility and global scale over hybrid symmetry. View Amazon Web Services’ detailed scorecard. Hewlett Packard Enterprise Hewlett Packard Enterprise (HPE) provides its first native object offering in the Alletra Storage MP X10000, a disaggregated object platform managed through HPE GreenLake.

Amazon Web Services Amazon Web Services (AWS) operates the industry’s largest cloud data estate, with more than one million data lakes running on Amazon S3. AWS’s data lakehouse offering emphasizes scalability, open standards such as Apache Iceberg, and broad integration across analytics, AI, and governance services. Strategy.

Amazon Web Services Amazon Web Services (AWS) is the most widely adopted public cloud platform, offering a broad portfolio of infrastructure, platform, data, and AI services that support both enterprise users and a range of technology platforms. Strategy. AWS’ vision brings its “Go build it” mantra to the agentic AI era. The goal is to allow its customers to build, deploy, and scale AI.

Amazon Web Services is best suited to US organizations with strict isolation requirements as well as global organizations that need isolated regions without compromising on the services available. View Amazon Web Services’ detailed scorecard.

Amazon Web Services Amazon Web Services (AWS) brings its cloud technologies to the Chinese market through locally operated regions managed by Sinnet in Beijing and NWCD in Ningxia. AWS gives Chinese enterprises access to core AWS infrastructure and cloud services while complying with local regulations. Strategy.

Amazon Web Services is a good choice for companies that want a robust runtime and infrastructure platform to build agents as well as a rich set of tools that data scientists and developers can use to train and deploy models and agentic applications. View Amazon Web Services’ detailed scorecard. Strong Performers Microsoft Microsoft’s Azure AI platform is a suite of cloud-based AI and services and developer tools, including Azure AI Foundry.

Figure 2 Leaders Amazon Web Services Amazon Web Services (AWS) operates a global cloud platform delivering broad deployments of NVIDIA GPUs alongside custom-developed AI silicon — Inferentia for inference and Trainium for training. Strategy. AWS’ vision is to offer both proprietary accelerators and NVIDIA GPUs, giving customers cost-efficient options for inference workloads without hardware lock-in.

Strong Performers Amazon Web Services Amazon Web Services (AWS) delivers its streaming data services through Amazon Kinesis Data Streams (Kinesis), Amazon Data Firehose, Managed Streaming for Apache Kafka, and Managed Service for Apache Flink; it offers integration across its cloud ecosystem. Strategy.

Akamai Technologies Amazon Web Services Capgemini CAST AI Cloud Temple Google Halo by Design Microsoft OCS OVHcloud Salesforce Tencent T-Systems

Amazon Web Services As the largest cloud provider, Amazon Web Services (AWS) dominates the infrastructure market. It takes a modular approach to data fabric with services like Glue, Lake Formation, and SageMaker; buyers must typically assemble these components themselves. Strategy. AWS’s vision for the data fabric market is ambiguous, with no clearly articulated strategy to unify its sprawling portfolio.