Microsoft SQL Server 2017 Enterprise Core Based Unlimited CALs (1PC License) (Digital)

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SQL Server 2017 is the biggest leap forward in Microsoft data platform history with features that increase performance, simplify management, and transform your data into actionable insights—all on a database that has the least vulnerabilities of any major platform.

Automatic Tuning: While many database vendors have claimed to have self -tuning databases in the past, Microsoft has built intelligence into a set of self-tuning features in SQL Server 2017. Microsoft has learned a lot from supporting Azure SQL Database and identifying customer performance problems. Running a database service that services millions of databases allows for deeper insight into how customers use the product, and where their headaches are. They have taken that knowledge and combined it with the Query Store, a feature introduced in SQL Server 2016, which tracks query execution plans and runtime statistics. This allows the database engine to identify queries that have regressed in performance, and changed execution plans (the path the engine takes to get the query's data). If the engine determines that a change in plan has occurred, and the query has regressed in performance, the engine will revert to a previous plan.
"If it is 3 a.m. in the morning, Automatic Plan Correction helps mitigate performance issues due to plan regression scenarios without manual intervention," said Joe Sack, principle program manager at Microsoft. "Then when you come in that next morning you can look at see what happened and work on root cause analysis. " There a number of other optimizations in space in SQL Server 2017, focused on making problematic query operations go faster.

Graph Database: One of my favorite features is the introduction of a graph engine into SQL Server. Graph databases are commonly used to track relationships or hierarchies, a place where relational databases have struggled in terms of structure and performance. Graph databases are implemented via nodes (or vertices) and edges (or relationships). For example, you might say John is friends with Jane, and Jane is friends with Becky. While there have been a number of small graph database projects, many have not supported the SQL language, and integration with other systems. By bringing graph into SQL Server 2017, users can take advantage of native SQL, along with the new match operator to perform graph queries.

Resumable Online Index Rebuild: As someone who has been a database administrator for way too long, this feature has tremendous appeal to me. Indexes get fragmented as updates and deletes happen, and need to be reorganized and rebuilt periodically. Performing these operations are very IO intensive, and are commonly run during maintenance windows. However on larger systems some operations may run beyond the window and have to be aborted, or more frequently, simply aren't run. Resumable index rebuild allows you to schedule fixed window for your maintenance operations (for example, allocating three hours a night to index maintenance); or simply pause and resume them manually. This feature will change the ways DBAs perform database maintenance. 
Everything Else: Some of the other features included in this release are improved performance for backups, more enhancements to the In-Memory OLTP feature and integration of the popular Power Query tool with SQL Server Analysis Services. Microsoft also released a very interesting enhancement to its advanced analytics features by adding a predict operator to the T-SQL programming area. This can be a very fast way to perform analysis on a pre-existing R or Python model.

Some of the new capabilities of SQL Server 2017:

• Build intelligent, mission-critical applications
• Break free from Oracle
• Always Encrypted
• Real-time operational analytics
• In-database analytics
• PolyBase
• And much much more. Check on the Internet, it has hours of reading about SQL Server 2017.