SQL Server 2017 10 User CALs

• Digital download
• Lifetime support at no extra cost

Get industry-leading performance, improved security, and availability on the platform of your choosing – Windows, Docker, and Linux – with SQL Server 2017. And thanks to SQL Server 2017 10 CALs, you can give your staff the flexibility they need by allowing them to access their devices from wherever they are. You will also be able to build intelligent applications using your preferred language, such as R and Python. Deliver insights and gain real-time intelligence through modern analytical models and reports.

Features

• Industry-leading performance: make the most of breakthrough scalability, availability, and performance for data warehouses and mission-critical, intelligent applications. 
• 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.
• 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. 
• Highest performing data warehouses: Get 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.
• 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 experience: Now supporting Windows, Linux, and Docker containers, you can develop applications once and deploy anywhere with a consistent experience from on-premises to cloud. 
• 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.
• 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.