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MS SQL Server software features
Choose your language and platform
 With open source support, you have the flexibility to choose languages and platforms. Run SQL on Kubernetes-enabled Linux containers or on Windows Server.
Count on industry-leading performance
Leverage breakthrough scalability and performance to improve database stability and improve response times without requiring application changes. Make mission-critical applications, data warehouses, and data lakes highly available.
Security has continued to lead for nine years and is trustworthy
Rated as the least vulnerable database for the past nine years, this database can achieve your security and compliance goals. You can stay one step ahead with built-in features for data classification, data protection, and monitoring and alerting.
Analyze all types of data
Use SQL Server with Apache Spark built-in In 2019, query across relational, non-relational, structured and unstructured data to gain insights from all your data to get a complete picture of your business.
Make better decisions faster
Use the enterprise reporting capabilities of SQL Server Reporting Services to find answers to your questions in your data with included Power BI Report server that enables your users to access rich, interactive Power BI reports on any device.
MS SQL Server software features
Big data cluster
SQL Server 2019 makes managing big data environments easier. It provides the key element of the data lake - Hadoop Distributed File System (HDFS), Spark, and Analytics - Deeply integrated with SQL Server and fully supported by Microsoft. In Kubernetes Easily deploy using Linux containers on managed clusters.
Data virtualization
In SQL Server 2016, PolyBase enables you to run T-SQL queries in SQL Server to extract Hadoop of data and returned in a structured format—no need to move or copy the data at all. Now we are extending the concept of data virtualization to other data sources including Oracle, Teradata, MongoDB and other SQL Servers.
Enhanced performance, security and usability
SQL Server 2019 engine will improve mission-critical performance, security, compliance, database availability, SQL on Linux Server and container, general engine provides new enhancements.
Performance Improvement - Smart Database
The series of intelligent query processing functions are based on adaptive query processing in SQL Server 2017, including row mode memory feedback and approximate COUNT DISTINCT, batch mode and table variable lazy compilation on row storage.
Persistent memory support has been improved in this release, and new I/O optimized paths are available for interacting with persistent memory stores.
: A lightweight query analytics infrastructure is now enabled by default to provide statistics for every query operator on the go.
Advanced Security - Encrypted Computing
Extending SQL Server with encryption using security zones Client-side encryption introduced in 2016. Secure Enclave Protects sensitive data in a hardware- or software-created enclave within a database from malware and privileged users, while enabling advanced operations on encrypted data.
SQL data discovery and classification are built into the SQL Server engine, with new metadata and auditing support to help meet GDPR and other compliance needs.
Authentication management can be made easier using SQL Server Configuration Manager.
MS SQL Server Software Advantages
  1. True client/server architecture.
 2. Graphical user interface makes system management and database management more intuitive and simple.
3. Rich programming interface tools provide users with greater choices for programming.
 4. Fully integrated with Windows NT, taking advantage of many functions of NT, such as sending and receiving messages, managing login security, etc. Also works well with Microsoft BackOffice product integration.
5. It has good scalability and can be used across multiple platforms from small computers running Windows 95/98 to large multi-processors running Windows 2000.
 6. Support for Web technology allows users to easily publish data in the database to Web pages.
  7. Provide data warehouse functionality, which is only available in Oracle and other more expensive DBMS.
MS SQL Server update log
 1.Fix several bugs;
 2. Optimize detailed issues;
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