SQL Server 2019 Standard – The SQL Server 2019 Standard application provides a new level of security, leading performance, advanced analytics for all your work tasks, now with support for embedded big data.
Distinctive features Microsoft SQL Server 2019 Standard
1. Availability of large clusters and storage consisting of SQL Server, Spark and HDFS.
2. Automatic configuration of SQL Server – Intelligent processing improves query scaling and solves performance problems.
3. Increased uptime, thanks to a large number of indexing operations on the Internet.
4. Enhanced security and data protection, SQL Server 2019 includes the protection of computations in secure enclaves Always Encrypted.
5. Support for Windows and Linux containers. Running Java code on SQL Server, saving it and enabling traffic analytics.
The following requirements apply to all installations:
Windows 10 or windows 11
Windows Server 2016 or greater
Buy SQL Server 2019 Standard Product Key
SQL Server 2019 Standard Key Global provides industry leading performance and intelligence over all your data, structured and unstructured. SQL Server 2019 can now be the hub for your entire data estate, with the ability to query any database like Oracle, MongoDB, Cassandra, and Hadoop in a highly secure and highly performant way—all without moving or copying the data.
SQL Server has evolved from a traditional database to an industry leading data platform built to take on any data project, from OLTP, Data Warehousing and BI, to AI and advanced analytics over Big Data. This edition includes 10 Client Access Licenses.
SQL Server 2019 encompasses all of this in one product, SQL Server 2019 brings enhancements in the core SQL engine, offers a scale-up and scale-out system with built in support for Big Data (Apache Spark, Data Lake), state of the art data virtualization technology, and with built-in machine learning capabilities.
SQL Server 2019 is designed to solve challenges of the modern data professional including:
Run faster transactions with enhanced high availability and performance.
Get in-database machine learning with R and Python as well as self-service reports and dashboards through Power BI Report Server and Mobile BI.
Run mission-critical workloads using Windows, Linux, and containers on premises, in the cloud, or in hybrid environments.
Integrate, manage, and analyze both relational and unstructured big data using data virtualization and big data clusters.
Use Microsoft SQL Server 2019 big data clusters as an analytical data lake with built-in support for Hadoop Distributed File System (HDFS) and Spark.
Analyze and score large amounts of data with machine learning and processing platforms like Spark.
Reduce the need for Extract, Transform, and Load (ETL) applications by eliminating data movement.
Integrate and secure machine learning applications with scalable performance.
Reduce the need for application and query changes to gain a boost in performance.
Increase confidential computing of data through hardware enclaves.
Increase application and database uptime and availability through features like ADR (Advanced Database Recovery).
Extend the power of the T-SQL language in a secure and robust fashion.
Run applications and deploy databases across multiple operating systems and platforms with compatibility.
Reduce the risk of upgrades while using new SQL capabilities when you are ready though inbuilt database compatibility levels.