Migrating to the Cloud /

Data Estate Modernisation

Transform your data estate to a complete, robust, end-to-end data platform.

Extended support for SQL Server 2008 and 2008 R2 is coming to an end on July 9, 2019, which means it’s time to choose your path to modernization. Move to SQL Server 2017 and Azure Data Services to get the industry-leading data platform with built-in security, enhanced performance and analytics to modernize your business. Without support for SQL Server 2008 and 2008 R2, security updates will no longer be available, and you might be at risk of not being compliant with industry requirements such as GDPR (General Data Protection Regulation).

Spanish Point have you covered with new options

New options are now available to help you upgrade and adopt the innovative technologies you need to carry your organization into the future. If you need additional time to manage the transition, get three years of Extended Security Updates to keep your workloads protected beyond the deadline.

Migrate to Azure with free security updates

  • Rehost your SQL Server 2008 and 2008 R2 with few or no application code changes in Azure SQL Database Managed Instance for a “version-free” platform.
  • Or, move to Azure Virtual Machines to get three years of Extended Security Updates at no additional charge and upgrade to a newer version when ready.
  • Use existing licenses and save up to 55 percent with Azure Hybrid Benefit.


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Upgrade on-premises and stay protected

  • Upgrade to SQL Server 2017 for greater security, performance, availability and innovation with cloud analytics.
  • For continued protection beyond the deadline, buy up to three years of Extended Security Updates—cover only the workloads you need while you upgrade
  • The robust SQL Server database engine provides best-in-class performance and flexibility for your customers’ on-premises needs.
  • SQL Server is the first commercial database with built-in AI. SQL Server Machine Learning services let you build intelligent applications and operationalize your data science models in a secure and performant way.