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Microsoft SQL Server 2017 Standard 24 Core is an advanced database platform that offers powerful data processing and analysis capabilities for medium-sized and large enterprises. Designed for the modern data environment, SQL Server 2017 introduces a range of innovations that support the development of database applications, data warehousing, and business intelligence.
The first cross-platform SQL Server — Windows, Linux and Docker in one license
SQL Server 2017 Standard is a landmark release that brings the Microsoft database engine to Linux systems and Docker containers for the first time. It introduces Machine Learning Services with Python support, Graph Database, Adaptive Query Processing and Automatic Database Tuning. This 24-core license covers both Windows and Linux deployments — one original license, two operating systems. An ideal choice for businesses modernising IT infrastructure and moving towards microservices architecture.
Full support for Red Hat Enterprise Linux, SUSE Linux Enterprise Server and Ubuntu Server. The same database engine as on Windows — the same T-SQL features, the same performance and the same management tools. You can migrate databases between platforms without changing your code.
Official Docker images on Docker Hub let you deploy SQL Server in containers within seconds. Ideal for DevOps, CI/CD and microservices environments. Kubernetes support enables orchestration of database containers at production scale.
An extension of R Services with full Python support — run Python and R scripts directly inside the database engine. scikit-learn, pandas, numpy and TensorFlow libraries are available within T-SQL. Train ML models on data without leaving the SQL Server environment.
Built-in graph support in the relational engine — node (NODE) and edge (EDGE) tables with native MATCH syntax. Ideal for modelling social networks, organisational hierarchies, recommendation systems and dependency analysis without requiring a separate graph database.
The query optimiser learns from previous executions and automatically adjusts execution plans. Adaptive Joins, Interleaved Execution and Memory Grant Feedback eliminate common cardinality estimation issues, improving query performance without administrator intervention.
SQL Server automatically detects execution plan regressions and restores the previous faster plan. The built-in “force last good plan" mechanism works autonomously, eliminating manual performance diagnostics — the server optimises itself.
Online index rebuilds can be paused and resumed — even after a server restart. In large databases, an index rebuild lasting hours can be safely interrupted during a maintenance window and continued the next day without losing progress.
All security features from 2016 (Always Encrypted, RLS, DDM, Temporal Tables) plus new capabilities: dynamic data masking in In-Memory tables, enhanced auditing with action filtering, and TLS 1.2 certificate support for encrypted client-server connections.
Licensier offers SQL Server 2017 Standard at highly competitive prices across Europe. We guarantee original Microsoft product keys with full licensing documentation. One license works on both Windows and Linux — you do not need to buy separate license keys for each operating system.
The 24-core license is a cost-effective way to license multi-processor servers. Instead of purchasing 12 separate 2-core packs, you receive one license key at a lower overall price. Our team will help you choose the optimal licensing model and support you throughout installation on Windows or Linux. Cheap pricing, instant delivery and a VAT invoice make this a practical business purchase.
| Product | Microsoft SQL Server 2017 Standard |
| License model | Core-Based (24 cores) |
| License type | Perpetual |
| Maximum RAM | 128 GB |
| Operating systems | Windows Server 2012+ / RHEL 7.3+ / SLES 12 SP2+ / Ubuntu 16.04+ |
| Docker containers | Yes (official images) |
| AlwaysOn AG | Yes (Basic — 1 database per group) |
| ML Services (Python/R) | Yes |
| Graph Database | Yes |
| Adaptive Query Processing | Yes |
| In-Memory OLTP | Yes (up to 32 GB per database) |
| Virtualisation | Up to 2 OSE virtual machines |
| Language | Multilingual (including Polish) |
| Delivery format | Electronic — product key by email |
The biggest change is Linux and Docker container support — the same license works on both platforms. Python joins R in Machine Learning Services, while Graph Database makes it possible to model graph data inside the relational engine. Adaptive Query Processing automatically optimises query plans, and Automatic Tuning corrects performance regressions without DBA intervention. Resumable Online Index Rebuild is a standout feature for large database administrators. If you are considering an upgrade from 2016, SQL Server 2017 is a major step forward, especially for hybrid Windows/Linux environments.
You will receive your product key by email within minutes after payment confirmation
The SQL Server 2017 license is universal — it covers deployment on both Windows Server and Linux. You do not need to buy separate license keys. You can install SQL Server on Windows and later move it to Linux (or the other way around) without changing the license. However, one license covers one physical server only — it cannot be used on two separate machines at the same time.
Officially supported: Red Hat Enterprise Linux 7.3+, SUSE Linux Enterprise Server 12 SP2+ and Ubuntu 16.04+. CentOS 7.3+ is supported as RHEL-compatible. Oracle Linux 7.3+ also works. Debian and other distributions are not officially supported, although the community develops unofficial solutions.
Microsoft provides official Docker images on Docker Hub (mcr.microsoft.com/mssql/server). A single-line docker run command with the SA password and EULA acceptance is all that is required. The container launches the full SQL Server engine in seconds. Data can be persisted using Docker volumes. Kubernetes is also supported with official Helm charts.
No — Machine Learning Services (R and Python) are included in the SQL Server 2017 Standard license. You do not need to buy any additional licenses. After installing the ML Services component during setup, you gain access to sp_execute_external_script with both R and Python. Open-source libraries such as numpy, pandas and scikit-learn are included.
Yes — migration is fully supported via backup/restore, detach/attach or Database Migration Assistant (DMA). Databases with compatibility level 120 (2014) or 130 (2016) run on 2017 without changes. You can gradually raise the compatibility level to 140 (2017) after testing. DMA will detect potential issues before migration.
AQP introduces three key mechanisms: Adaptive Joins (dynamic selection of Hash/Nested Loop Join based on real data), Interleaved Execution (materialised subqueries in multi-statement TVF) and Memory Grant Feedback (memory allocation correction based on execution history). These mechanisms work automatically — no code changes or manual configuration are required.
Windows: x64 processor 1.4 GHz (2.0+ recommended), 2 GB RAM (8 GB+ recommended), 6 GB disk space. Linux: x64 processor 2.0 GHz+, 2 GB RAM (8 GB+ recommended), 6 GB disk space. For production, we recommend at least 16 GB RAM, SSD/NVMe storage and a minimum of 4 cores. The 24-core license lets you fully utilise the power of an enterprise-class dual-processor server.
Yes — a perpetual SQL Server Standard license can be transferred to another physical server, provided it is uninstalled from the previous machine. Transfers are allowed no more than once every 90 days (or immediately in the event of hardware failure). In a virtual environment, the license must cover the physical cores of the host running the VM with SQL Server.