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Microsoft SQL Server 2022 Standard (CSP Perpetual)

Price: 135,000৳
Regular Price: 207,900৳
Status: In Stock
Brand: Microsoft

Key Features

  • Manage both structured and unstructured data
  • Break down data silos
  • AI across all your data
  • Intelligent database capabilities
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Specification

General
Brand Microsoft
Model Microsoft SQL Server 2022 Standard
License
License Type E-License

Description

Microsoft SQL Server 2022 Standard (CSP Perpetual)

Gain insights from all your data by querying across relational, non-relational, structured, and unstructured data, for a complete picture of your business using SQL Server 2019 with Apache Spark built-in. Get the flexibility to use the language and platform of your choice with open-source support. Run SQL Server on Linux containers with Kubernetes support or on Windows. Take advantage of breakthrough scalability and performance to improve the stability and response time of your database without making app changes. Get high availability for mission-critical applications, data warehouses, and data lakes. Achieve your security and compliance goals using the database rated as least vulnerable over the last nine years. Stay a step ahead using built-in features for data classification, data protection, and monitoring and alerts. Turn data into answers using the enterprise reporting capabilities of SQL Server Reporting Services along with the included Power BI Report Server, which gives your users access to rich, interactive Power BI reports on any device. Migrate your existing apps or build new ones on Azure and get the best price performance for your mission-critical SQL Server workloads. With costs up to 87 percent lower than the competition, you'll see why customers like Allscripts and H&R Block choose Azure. Manage your big data environment more easily with Big Data Clusters. They provide key elements of data like Hadoop Distributed File System (HDFS), Apache Spark, and analytics tools deeply integrated with SQL Server and fully supported by Microsoft. Easily deploy your database using Linux containers on a Kubernetes cluster.

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