![]() ![]() ![]() Row Level Security: Data access can be restricted at the database engine level, so users see only what is relevant to them.Dynamic Data Masking: If specified in the table definition, masked data is hidden from most users, and only users with UNMASK permission can see the complete data.Always Encrypted: When enabled, only the application that has the encryption key can access the encrypted sensitive data in the SQL Server 2016 database.Has column store index enhancements for sorting and Always On Availability Group support.Supports tables up to 2TB (up from 256GB).Now supports FOREIGN KEY, UNIQUE and CHECK constraints, and native compiled stored procedures OR, NOT, SELECT DISTINCT, OUTER JOIN, and subqueries in SELECT.SQL Server automatically queries both local and remote data in the linked databases. The new Stretch Database feature lets you dynamically, securely archive data from a local SQL Server database to an Azure SQL database in the cloud.You can import and export data as well as executing queries. New PolyBase query engine integrates SQL Server with external data in Hadoop or Azure Blob storage.New built-in JSON support in SQL Server supports JSON imports, exports, parsing and storing.Temporal tables are history tables which record all data changes, complete with the date and time they occurred.A dashboard shows which queries consumed the most time, memory or CPU resources. New Query Store stores query texts, execution plans, and performance metrics within the database, allowing easy monitoring and troubleshooting of performance issues.You can now configure multiple tempDB database files during SQL Server installation and setup.Have an Azure account? Spin up a Virtual Machine with SQL Server 2016 already installed.Download the latest version of SQL Server Management Studio (SSMS).Download the free SQL Server newest edition!.This page provides summary information and links to more detailed SQL Server 2016 what's new information for each SQL Server component. The SQL Server 2016 release adds new security features, querying capabilities, Hadoop and cloud integration, R analytics and more, along with numerous improvements and enhancements. With SQL Server 2016, you can 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. Locality, and embraces specialization and multi-threading.SQL Server 2016 (13.x) and later versions ![]() Operates on blocks at a time instead of per row, targets vectorization and cache The new ES|QL execution engine was designed with performance in mind - it ES|QL search, aggregation, and transformation functions areĭirectly executed within Elasticsearch itself. Requirements for ES|QL, it was necessary to build an entirely new computeĪrchitecture. To achieve both the functional and performance The ES|QL Compute Engine editĮS|QL is more than a language: it represents a significant investment in newĬompute capabilities within Elasticsearch. The next, enabling complex data transformations and analysis. This approach allows users to composeĪ series of operations, where the output of one operation becomes the input for Transform data in a step-by-step fashion. The Elasticsearch Query Language (ES|QL) makes use of "pipes" (|) to manipulate and It supports a wide range of commands andįunctions that enable users to perform various data operations, such asįiltering, aggregation, time-series analysis, and more. Users can author ES|QL queries to find specific events, perform statisticalĪnalysis, and generate visualizations. It isĭesigned to be easy to learn and use, by end users, SRE teams, application The Elasticsearch Query Language (ES|QL) provides a powerful way to filter, transform,Īnd analyze data stored in Elasticsearch, and in the future in other runtimes. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features. This functionality is in technical preview and may be changed or removed in a future release. ![]()
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