SQL Server 2017 5 Device CALs

It's all about preference and choice. Now, you can enjoy SQL Server 2017 on Windows, Linux, and Docker containers, and all its advanced features, as well as security and industry-leading performance. You will also get access to other extra features that decrease the need for storage and improve analytics. And, you have the opportunity to assign an external user a device in your organization thanks to the per-device licensing. Here is your preferred SQL Server 2017 5 Device CALs for you to choose from. 

Features

• Industry-leading performance: make the most of breakthrough scalability, availability, and performance for data warehouses and mission-critical, intelligent applications. 
• Advance Security: Protect your data, at rest and in motion, with the most advanced security and least vulnerable database as listed in the NIST vulnerabilities database. 
• Language and platforms of your choice: chose a language to use to build modern applications, on-premises and in the cloud, now on Windows, Docker, and Linux.
• Highest performing data warehouses: Get, for your enterprise, support for data from small data marts to large enterprise data warehouses while decreasing storage needs with enhanced data compression.
• End-to-end mobile BI: transform raw data into meaningful data reports, which are deliverable to any device (Windows, Mac, Android) – at a smaller cost compared to other self-service solutions.
• Real-time intelligence: Gain transformative insights for your enterprise with real-time analytics at up to 1M predictions/second. This is the fastest that has ever been recorded.
• Real-time hybrid analytical/transactional processing: Combine the in-memory ColumnStore with the previous version’s Rowstore capabilities for real-time operational analytics – fast analytical processing right on your transactional data. This will enable you to open up new scenarios such as real-time fraud discovery without impacting your system’s transactional performance.
• Easy-to-use tools and connectors: you will use your already stocked up skills, along with familiar tools such as SQL Server Management Studio and Azure Active Directory, to manage your database infrastructure across on-premises SQL Server and Microsoft Azure. 
• Advanced In-database Analytics: us the SQL Server Machine Learning Services and languages, R and Python, to build intelligent applications. In addition to R and Python, use multi-threading and massively parallel processing to gain insights faster. Perform advanced analytics directly within your database to move beyond reactive and into prescriptive and projective analytics.
• Consistent data platform: the data platform gives you a consistent, practical experience from on-premises to the cloud – allowing you to build and deploy hybrid solutions for managing your data investments.