Microsoft’s data lake services provide high-speed ingestion and global scaling and support open-source technology that make them viable options for enterprise applications.

The chart compares Microsoft’s on-premises and hosted database management offerings, their query languages, and the data types they support.

Sidebar explains the various data types and technologies used in Microsoft database management offerings.

Microsoft's database management landscape includes on-premises and cloud solutions with proprietary and open-source products that are designed for all enterprise data types and workloads.

The chart compares Microsoft’s on-premises and hosted database offerings.

Sidebar explains the various data types and technologies used in Microsoft database management offerings.

Microsoft's database management landscape includes on-premises and hosted solutions for relational, nonrelational, and unstructured data.

HDInsight Hadoop and Spark cluster types are now based on Microsoft written and supported code, providing greater integration with Azure services and support directly from Microsoft.

Azure HDInsight 4.0 is a major release with improved performance, scaling, and management, but it requires considerable effort to migrate existing workloads by June 2020.

Big Data comes in various forms, contains a variety of data, and potentially holds value for organizations because it contains unprocessed data that could reveal important trends and insights to solve business problems