Brand
Microsoft
Licensing Type
Subscription
Licensing Term
12 Month
Users Supported
50 / 200 User
Devices Supported
250 / 1 000 Device
Platform Supported
Win - Mac - Android- iOS
What is SQL Server 2019 Standard 16 Core
SQL Server 2019 Standard gives industry-leading execution and knowledge over the entirety of your data, structured and unstructured. In addition, SQL Server 2019 would now be able to be the center for your whole information home, with the capacity to query any database like Oracle, MongoDB, Cassandra, and Hadoop in an exceptionally secure and profoundly performant way—all without moving or replicating the data.
SQL Server has developed from a customary database to an industry-leading data platform worked to take on any data project, from OLTP, Data Warehousing and BI, to AI and progressed analytics over Big Data. Further, SQL Server 2019 incorporates the entirety of this in one product, SQL Server 2019 acquires improvements the core SQL engine, offers a scale-up and scale-out system support for Big Data (Apache Spark, Data Lake), cutting edge data virtualization technology, and with built-in AI abilities.
What you’ll adore about SQL Server 2019
Trust 9 years of confirmed security leadership
Accomplish your security and consistence objectives utilizing the database appraised as least vulnerable throughout the most recent nine years. Remain a stride ahead utilizing worked in highlights for data grouping, data protection and surveillance and alerts
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Why choose SQL Server 2019
Increase efficiency and agility with a software-defined datacenter. Solve your operational and budgetary challenges. Blend physical and virtual infrastructures together through software-defined compute, storage, and networking technologies.
- 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.