en.Wedoany.com Reported - Amazon Web Services (AWS) has announced a new service called Bring Your Own Media (BYOM), allowing customers to reuse existing Microsoft SQL Server media and licenses on Amazon Relational Database Service (RDS) without incurring additional licensing fees. This service aims to address the licensing challenges that force enterprises to pay twice when migrating workloads to the cloud.

AWS stated that previously, much enterprise data resided in Microsoft SQL Server, but customers had to pay a second licensing fee to use fully managed cloud services like RDS. The BYOM service eliminates this dual licensing. Enterprises can now bring SQL Server Enterprise or Standard Edition licenses into a fully managed RDS environment through a direct migration model. According to licensing distribution terms, enterprises must provide their licensed SQL Server Release to Manufacturing (RTM) media to Amazon RDS, upload it to Amazon S3, and launch a BYOM instance, while also configuring AWS License Manager for automatic instance tracking. Subsequently, RDS automatically handles patching, backups, high availability, and monitoring, and provides direct access to AWS native agentic AI and analytics services. The platform also reports vCPU usage to provide visibility into license consumption.

AWS data engineer Srikanth Katakam and product marketing manager Colleen Betik wrote in a blog post that the licensing barriers that once hindered operational SQL Server data and agentic artificial intelligence have now disappeared. However, the service is only available to enterprises with Microsoft Software Assurance (SA), an add-on service that supports the mobility and re-hosting of existing licenses. Enterprises must verify that their SQL Server licenses comply with Microsoft's licensing agreements and submit a license mobility verification form to Microsoft. AWS emphasized that enterprises remain responsible for compliance, and the system will not block operations if license limits are exceeded.

Mike Leone, principal analyst at Moor Insights & Strategy, believes the advantage of this service is that enterprises can migrate SQL Server workloads to managed AWS services without rewriting or paying duplicate fees. This allows them to modernize on their own timeline. Leone also noted that this move weakens Microsoft's control over enterprise workloads, but the dependency shifts to AWS rather than disappearing entirely. Yaz Palanichamy, senior consulting analyst at Info-Tech Research Group, also pointed out that this migration enables organizations to transition from static storage to a more dynamic intelligent environment, but the key lies in balancing transactional data unification with managed AI and machine learning pipelines.

Analysts also highlighted potential challenges. Leone stated that enterprises now bear the task of licensing compliance themselves and must continuously update Software Assurance and license mobility rules. When enterprises migrate SQL Server as-is without true modernization, direct migration may evolve into "migrate and forget," bringing all old baggage into the new platform. Palanichamy also noted that AWS costs could skyrocket due to the massive data ingestion and queries required to operate AI agents, and enterprises need to focus on relative productive value time to manage volatile AI workloads.

Although AWS views licensing complexity as a barrier to agentic AI, analysts believe this is only part of the problem. Palanichamy stated that organizations not being AI-ready may involve total cost of ownership (TCO), lack of acceptable use policies (AUP), or concerns about security and compliance. Leone pointed out that migrating SQL Server to RDS does not automatically make data agent-ready; data proximity and managed pipelines support agents, but the real obstacles are messy data, questionable governance, and teams not yet ready for production—none of which are addressed by changes in licensing bills.

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