Features
Machine Learning for Hadoop/Spark and Machine Learning for Linux, a software assurance benefit
Adaptive Query Processing
Advanced Machine Learning integration: full parallelism of R and Python analytics and the ability to run on GPUs
New in-database analytics with R integration
Polybase — an engine that, to date, has been part of the SQL Server.
Parallel Data Warehouse Appliance, for more easily managing relational and non-relational data.
Row-level security, allowing users to control access to data based on characteristics of the user, without modifications to applications.
Dynamic Data Masking — supports real-time obfuscation of data to prevent access to unauthorized data Temporal database support for tracking historical data changes.
Basic Machine Learning integration: connectivity to open source Python and R, limited parallelism
Basic Availability Groups.
Enhanced hybrid backup to Azure and faster restores to SQL Server in Azure virtual machines.