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Microsoft SQL Server 2019

Microsoft SQL ServerSQL Server 2019 (15.x) builds on previous releases to grow SQL Server as a platform that gives you choices of development languages, data types, on-premises or cloud environments, and operating systems.

Microsoft SQL Server 2016 / 2014

MicroWay can assist you with licensing for older versions of Microsoft SQL Server.

Contact MicroWay for details and a formal quote.

What's New in Microsoft SQL Server 2019

SQL Server 2019 (15.x) builds on previous releases to grow SQL Server as a platform that gives you choices of development languages, data types, on-premises or cloud environments, and operating systems.

SQL Server 2019 (15.x) introduces Big Data Clusters for SQL Server. It also provides additional capability and improvements for the SQL Server database engine, SQL Server Analysis Services, SQL Server Machine Learning Services, SQL Server on Linux, and SQL Server Master Data Services.

Microsoft SQL Server 2019 Editions DATASHEET


Built to help you do more

Your choice of language and platforms

Build modern applications using the language of your choice, on-premises and in the cloud, now on Windows, Linux and Docker containers.

Industry-leading performance

Take advantage of breakthrough scalability, performance, and availability for mission-critical, intelligent applications and data warehouses.

Least vulnerable database

Protect data at rest and in motion with the least vulnerable database over the last seven years in the NIST vulnerabilities database*.

Real-time intelligence

Gain transformative insights for your business with real-time analytics at up to 1M predictions/second. End-to-end mobile BI Turn raw data into meaningful reports that can be delivered to any device—at one-fifth the cost of other self-service solutions.


Microsoft SQL Server 2019 LICENSING MODELS

SQL Server 2019 now comes with Apache Spark and Hadoop Distributed File System (HDFS) for intelligence over all your data. With SQL Server 2019 Enterprise and Standard edition, customers can deploy Big Data Clusters. SQL Server 2019 Big Data Clusters makes it easier to manage a big data environment. It provides key elements of a data lake— Hadoop Distributed File System (HDFS), Spark, and analytics tools—deeply integrated with SQL Server and fully supported by Microsoft. SQL Server 2019 Big Data Clusters can be easily deployed using Linux containers on a Kubernetes-managed cluster.

Simple pricing metrics - Pay by processing power for mission-critical applications as well as business intelligence. Add self-service BI on a per user basis.

Flexibility and innovation - Cloud-optimised licensing with the ability to license virtual machines, and the flexibility to move from server to server, to hosters, or to the cloud, on the operating system of your choice.

Industry-leading TCO - Get outstanding value at any scale compared to other competing solutions.

More information on the SQL Server licensing models is available in this:
SQL Server 2019 Licensing Datasheet

And For more details or assistance, please contact MicroWay.


Editions Overview


Access mission-critical capabilities to achieve unparalleled scale, security, high availability, and leading performance for your Tier 1 database, business intelligence, and advanced analytics workloads.


Get rich programming capabilities, security innovations, and fast performance with Big Data Clusters for mid-tier applications and data marts. Easily upgrade to the Enterprise edition without changing any code.


Build small, data-driven web and mobile applications up to 10 GB in size with this entry-level database. Available for free.


Build, test, and demonstrate applications using all the features of the Enterprise edition in your non-production dev/test environments. Available for free.

SQL Server 2019 Editions Datasheet


Microsoft SQL Server 2019 – COMPARE VERSIONS


SQL Server 2019 SQL Server 2017 SQL Server 2016
Intelligence across all your data      
Big Data Clusters check    
Data virtualisation using PolyBase check check check
Database performance      
In-memory database: in-memory OLTP check check check
In-Memory Database: Persistent Memory check check check
In-memory database: memory-optimised tempdb check    
Real-time operational analytics check check check
Intelligent query processing check check  
Intelligent performance check    
Always on check check check
Accelerated database recovery check    
Read scale-out availability groups check check check
Always encrypted check check check
Always encrypted with secure enclaves check    
Data discovery and classification check    
Transparent data encryption check check check
Backup encryption support check check check
Encryption at rest and in motion check check check
Dynamic data masking and row-level security check check check
Cloud readiness      
Backup to Azure check check check
Disaster recovery to Azure check check check
Optimized virtual machine (VM) images in Azure gallery check check check
Free asynchronous replication on Azure Virtual Machines for disaster recovery check    
Management and programmability      
Linux support check check  
Container support check check  
Kubernetes support check check  
Temporal tables check check check
JSON support check check check
Graph data support check check check
UTF 8 support check    
Java support check check  
Azure Data Studio to manage SQL Server including support for T-SQL using notebooks check check check
Database compatibility certification check check check
BI and analytics      
Integration services managed as a server check check check
Tabular BI semantic model* check check check
Master data services* check check check
Data quality services* check check check
Many-to-many relationships in tabular models check check  
End-to-end Mobile BI on any device check check check
SQL Server Analysis Services (SSAS) direct query check check check
Calculation groups in tabular model check    

*SQL Server Enterprise edition only.


email Microsoft Volume Licensing

For further information on Microsoft SQL Server 2019 please call MicroWay on 1300 553 313 or email.



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