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Download softwareSQL Server 2025 / SQL Server 2025
Microsoft SQL Server 2025 The latest version of relational database management software is developed by Microsoft. One of the important features of this software is the construction and management of a relational database. Nowadays, considering that most businesses deal with big data and the volume of data is increasing day by day, in the new version of this software, it is possible to work with big data by applying clustering on large data and implement things such as machine learning and artificial intelligence capabilities on the data. Also, in this version, SQL Server can be run on new generation platforms with more performance and security than before. this Software It includes various services such as analysis service, machine learning service, reporting service, etc.
Key features Software Microsoft SQL Server 2025:
– Construction and management of relational database (Relational Database)
– Data virtualization and clustering on massive data
– Scalable linearization of UDF data
– Microsoft Azure support
– Setting Memory Grant Size for row and batch operators
– Optimizing the database in PMEM memories
– Data visualization using PolyBase
– Transferring the database to other platforms
– Batch deletion of constants in Graph databases
– Unicode and UTF-8 support
An explanation of a number of features of the new versions of Microsoft SQL Server:
The new versions of this software have been developed based on the previous versions and with the aim of expanding SQL Server as a commercial platform that allows users to choose the language, data type and work on cloud environments and different operating systems. In the following, we intend to review the most important new features of this version of the famous software.
1. Data visualization and big data clusters:
With the increase in the number of businesses and the growing volume of data, the need for an intelligent environment to manage them is felt more than ever. Especially, the capabilities of Machine Learning and Artificial Intelligence (AI) are among the latest technologies in the world that manage this data in the new version of SQL Server.
This software provides cluster solutions for the scalability of SQL Server, Spark, and HDFS carriers on the Kubernetes platform, and in addition, it is able to read, write, and process bulk data from Transact-SQL and Spark.
In new versions, it is also possible to visualize data using PolyBase; So that data can be imported from external sources such as Teradata, MongoDB and ODBC with support for UTF-8 encryption in SQL Server and processed.
2. Database smarter than ever:
One of the most important features is the intelligent processing of queries on the server. With this feature, you always know what critical workload should be executed in parallel. This feature is implemented by default in the last compatibility stage of the database.
For example, in the new version, it is possible to set Memory Grant Size for Row and Batch operators. This setting causes additional grants to be modified, which reduces wasted memory and increases concurrency.
Another feature of “smart database” is the scalable linearization of UDF. In this feature, it is possible to automatically convert UDF data into logical relationships in calling queries, which ultimately increases the productivity and quality of planning in a wide range of dimensions.
3. Optimizing the database in RAM memory:
The technology introduced in the new versions allows users to write database files to the persistent memory device or PMEM with the maximum possible optimization. Optimizing the database for RAM memory reduces the bottleneck and opens a new arena in TempDB scalability.
This software has also introduced a feature called In-Memory OLTP Support, which enables Snapshot preparation of databases along with optimized File Groups for temporary memories.
4. Further optimization with advanced monitoring:
One of the new queries introduced in this software is called OPTIMIZE_FOR_SEQUENTIAL_KEY. By sequentially optimizing the existing tables, this query optimizes the database for consecutive writes on a large scale and reduces the server workload. This feature also works with other queries such as REQUEST_MAX_MEMORY_GRANT_PERCENT and
WAIT_ON_SYNC_STATISTICS_REFRESH allows you to better manage the resources and time of parallel processing.
Many commands have been added for more precise control and access limitation, including LIGHTWEIGHT_QUERY_PROFILING, LAST_QUERY_PLAN_STATS, and sys.dm_db_page_info(database_id, file_id, page_id, mode).
5. Better experience in programming development:
With support for UTF-8 and Spatial and Graph data, this version of SQL Server has provided new features for more professional server development. For example, it is possible to apply batch deletion of constants in Graph databases. Another new graph function that has been added is called SHORTEST_PATH, which, when combined with MATCH, can find the shortest path between two nodes.
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2025-11-21
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SQL Server 2025 Enterprise + Standard Download
Microsoft SQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications which may run either on the same computer or on another computer across a network (including the Internet). Microsoft markets at least a dozen different editions of Microsoft SQL Server, aimed at different audiences and for workloads ranging from small single-machine applications to large Internet-facing applications with many concurrent users.
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Installation guide SQL Server 2025 software
1. Decompress the downloaded files using WinRAR software.
2. Enter the ISO folder and right click on the ISO file and click Mount.
Note: If there is no Mount option in the right click on the ISO file, first run the WinCDEmu software, press the Mount Image button and select the ISO file.
3. Enter the virtual drive from This Pc.
4- Install the software by running the Setup.exe file.
5- During installation, activate it using the information in the Serial.txt file.