Microsoft SQL Server Standard 2017, 2 Core Edition continues the success story of Microsoft's proprietary SQL Server software. For the first time, the program even runs on Linux platforms and in certified Docker environments. Some other new features have been introduced in terms of functionality, otherwise the strengths of the previous version have been taken over and expanded. If you would like to buy Microsoft SQL Server 2017 online at a low price, you can place your order directly here.
This variant of SQL Server is aimed at customers who want to license their SQL Server by processor cores. All cores of the server's processors must be licensed, with a minimum of four cores per physical processor. In this case no further access licenses (CAL's) are required.
Licensing by CPU cores: 2 CPU cores = 1 license, 4 CPU cores = 2 licenses
Per Core Licensing (Physical Instance
)All cores of the server's processors must be licensed, with a minimum of four (4) cores per physical processor
.
Per core licensing (virtual instance)
Under the core licensing model, all virtual cores in each virtual machine (VM) must be licensed, and in any case, at least four core licenses per virtual machine (VM).
If you are interested, we will be happy to advise you on this or to prepare an individual offer, please contact us!
| Species |
Full version |
| Licensing |
by processors/core |
| Language |
German, English/ all languages available |
| Field of application |
Microsoft SQL Server |
What new features does Microsoft SQL Server 2017 bring?
The 2017 edition comes with many new enhancements, optimized performance, Linux compatibility and other database module features. In the Standard Edition, the software is particularly suitable for use in medium-sized scenarios. Decisive functions are, for example, the free choice of platform and programming language, both of which can also be managed via the cloud. Scalability, performance and availability have also been improved, and Microsoft itself states that SQL Server studies show that SQL Server is the least vulnerable database. The mobile interfaces have of course also been optimized. In just a few steps, raw data can now be graphically and structurally enhanced so that it can be displayed in a suitable form both on the tablet and on a smartphone. Other special new features include automatic tuning, Resumable Online Index Rebuilds and a dedicated graph database for better visualization.
SQL Server technologies:
database module:
The database module is the core service for storing, processing and backing up data. The database module provides controlled access and fast transaction processing. So you can also meet high requirements of data processing applications in your company.
The database module also provides a wide range of support for maintaining high availability.
R-Services:
Microsoft R Services offers several ways to integrate the popular R language into enterprise workflows. R Services (In-Database) integrates the R language with SQL Server, so you can easily create, retrain and evaluate models by calling stored Transact-SQL procedures. Microsoft R Server provides scalable support for R in the enterprise on multiple platforms and supports data sources such as Hadoop and Teradata.
Data Quality Services:
SQL Server Data Quality Services (DQS) provides a knowledge-driven data cleansing solution. DQS allows you to create a knowledge base and then use that knowledge base to perform data correction and deduplication for your data using computer-aided and interactive means. You can use cloud-based reference data services and create a data management solution that integrates DQS with SQL Server Integration Services and Master Data Services.
Integration Services:
Integration Services is a design platform for high-performance data integration solutions, including data warehouse packages for extracting, transforming and loading (ETL) data.
Master Data Services:
Master Data Services is the SQL Server solution for master data management. A solution built on Master Data Services ensures that reporting and analysis are based on the right information. With Master Data Services, you create a central repository for master data and manage a monitorable and secure record of that data as it changes over time.
Analysis Services:
Analysis Services is a platform for analytical data and a business intelligence toolset for individuals, teams and companies. Server and client designers support traditional OLAP solutions, new table modeling solutions, and self-service capabilities for analysis and collaboration with Power Pivot, Excel, and a SharePoint Server environment. Analysis Services also includes data mining to help you identify the patterns and relationships hidden in large volumes of data.
Replication:
Replication is a set of technologies for copying and distributing data and database objects from one database to another and then synchronizing the databases to ensure data consistency. With replication, you can distribute data to multiple locations, remote or mobile users over local and wide area networks (WANs), dial-up connections, wireless connections, or the Internet.
Reporting Services:
Reporting Services provides Web-based reporting functionality for enterprises, so you can create reports that draw content from a variety of data sources, publish reports in a variety of formats, and centrally manage subscriptions and security.
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