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Build intelligent, mission-critical applications using a scalable, hybrid database platform that has everything built in?from in-memory performance and advanced security to in-database analytics.
Microsoft SQL Server 2016 Developer Edition
Build mission-critical, intelligent apps for online transaction processing (OLTP) with breakthrough scalability, performance, and availability.
Protect data at rest and in motion. SQL Server is the least vulnerable database for six years running in the NIST vulnerabilities database.
End-to-end mobile BI
Transform data into actionable insights. Deliver insights on any device?online or offline?at one-fifth the cost of other self-service solutions.
In-database advanced analytics
Analyze data directly within the SQL Server database?without moving the data?using R, the popular statistics language.
Made for hybrid cloud
Get a consistent platform and tooling for easier workload mobility between your datacenter, private cloud, or Microsoft Azure.
When users want data, they want it as fast as you can give it to them. Microsoft SQL Server 2016 includes several options for enabling faster queries. Memory-optimized tables now support even faster online transaction processing (OLTP) workloads, with better throughput as a result of new parallelized operations. ____________________
In-Memory OLTP enhancements _____
In-Memory OLTP helps speed up transactional workloads with high concurrency and too many latches by moving data from disk-based tables to memory-optimized tables and by natively compiling stored procedures. In-memory OLTP can also help improve the performance of data warehouse staging by using nondurable, memory-optimized tables as staging tables.
In-memory analytics _____
SQL Server 2016 adds more options for performing real-time analytics on rapidly changing inmemory data by adding support for columnstore indexes on memory-optimized OLTP tables. Resource contention between the two workloads is significantly reduced when they run simultaneously. As changes occur in a table, the database engine automatically manages changes to the index to ensure that it remains current with the underlying table.
Analysis Services enhancements
Analysis Services provides two different modes to support fast reporting and analytics: multidimensional and tabular. In SQL Server 2016, both multidimensional mode and tabular mode benefit from enhancements that improve performance. DirectQuery now generates a simpler and better performing query in SQL Server 2016 than it did in earlier versions.
SQL Server 2016 introduces three new principal security features?Always Encrypted, Row-Level Security, and dynamic data masking. Because of innovative client-side encryption technology "Always Encrypted", the SQL Server instance never sees the unencrypted version of the data. ____________________
Row-Level Security _____
Row-Level Security (RLS) allows you to configure tables such that users see only the rows within the table to which you grant them access. This feature limits which rows are returned to the user, regardless of which application they are using, by automatically applying a predicate to the query.
Dynamic data masking _____
When you have a database that contains sensitive data, you can use dynamic data masking to obfuscate a portion of the data unless you specifically authorize a user to view the unmasked data. Dynamic data masking is available for use in SQL Database.
Broader data access
As the cost to store data continues to drop and the number of data formats commonly used by applications continues to change, you need the ability both to manage access to historical data relationally and to seamlessly integrate relational data with semistructured and unstructured data. SQL Server 2016 includes several new features that support this evolving environment by providing access to a broader variety of data. ____________________
Temporal data _____
SQL Server 2016 now supports temporal tables, which were introduced as a new standard in ANSI SQL 2011. In addition, Transact-SQL has been extended to support the creation of temporal tables and the querying of these tables relative to a specific point in time.
With the addition of JSON support to SQL Server 2016, you can now support both relational and nonrelational data structures in your environment and choose the appropriate model for your data requirements and workloads.
In SQL Server 2016, you can now use PolyBase to query data in Hadoop or Azure Blob Storage and combine the results with relational data stored in SQL Server.
Higher availability _____
In a world that is always online, maintaining uptime and streamlining maintenance operations for your mission-critical applications are more important than ever. By running SQL Server 2016 on Windows Server 2016, you have more options for better managing clusters and storage.
More analytics _____
Better and faster analytics capabilities have been built into SQL Server 2016. Enhancements to tabular models provide greater flexibility for the design of models, and an array of new tools helps you develop solutions more quickly and easily.
Better reporting _____
For report developers, Reporting Services in SQL Server 2016 has a more modern development environment, two new data visualizations, and improved parameter layout options.
Improved Azure SQL Database _____
By integrating new features into SQL Database ahead of SQL Server, the development team can take advantage of a full testing and telemetry cycle, at scale, that allows them to add features to both products much faster.