The path forward for SQL Server analytics

Today, we are announcing changes to SQL Server analytics which includes:

Customer feedbackRetirement of SQL Server 2019 Big Data ClustersRetirement of PolyBase scale-out groupsPath forwardCustomer feedback

We continue to see increased migration to the cloud, with analytical workloads leading that charge.

Customers have indicated that analytics in the cloud best aligns to employee skillsets, deployment simplicity and manageability, and cloud flexibility and scalability.

When we first introduced cloud analytics in 2017, many were still investing in on-premises analytical workloads. Today, we offer a wealth of cloud-based services that provide users with similar functionality, including Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Azure SQL,