Today enterprises are increasingly deploying containerized Microsoft SQL Server databases across hybrid cloud environments to optimize transactional performance and unleash real-time insights. However, deploying and scaling these business-critical SQL Server databases in production requires IT teams to adopt an enterprise-grade Kubernetes platform that meets certain critical requirements around performance, security, availability and total-cost-of-ownership (TCO) across hybrid cloud environments.

To help enterprises determine the platform best suited to run Microsoft SQL Server for their individual requirements, McKnight Consulting Group (MCG), an independent consulting firm, conducted a benchmark study of SQL Server 2019 running on the best possible configurations of the following Kubernetes platforms:

  • Diamanti Enterprise Kubernetes Platform
  • Amazon Web Services Elastic Kubernetes Service (AWS EKS)
  • Azure Kubernetes Service (AKS)

To learn more about the results of this study, watch the clips below or the full webinar.

SQL Server Benchmarking: Tools used for Performance Testing


SQL Server Benchmarking: Performance comparison across different Kubernetes platforms


SQL Server Benchmarking: Total Cost of Ownership comparison across different Kubernetes platforms



SQL Server Benchmarking: Scalability and I/O characteristics across different Kubernetes platforms 



Download the full report to learn more about how Microsoft SQL Server performs exceptionally faster on Diamanti’s full-stack solution and has a lower TCO while outperforming a similarly built AWS and Azure infrastructure.

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