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About Microsoft SQL Server

Microsoft SQL Server 2025 is a database software platform from Microsoft that supports enterprise data management and analytics. It combines Microsoft Intelligent Data Platform, Azure Arc, and Power BI to provide reliable data integration, analysis, and reporting capabilities. With developer-first features, SQL Server 2025 allows for easier integration with analytics and AI models, helping organizations use data more effectively. Additionally, it offers improved security features and performance improvements for large-scale applications. Key capabilities: Microsoft Intelligent Data Platform Azure Arc Azure databases Power BI SQL Server BI Best for: enterprises that need comprehensive data management and analytics solutions.

Microsoft SQL Server Details

Vendor
Microsoft
Year Launched
1975
Location
16061 NE 36th Way, Redmond, Washington 98052, US
Deployment
cloud, on premise, windows, linux
Training Options
documentation, videos, in person
Countries Served
All Countries
Languages
German, English, French, Italian, Japanese, Korean, Portuguese, Russian, Spanish, Chinese (Simplified)
Users
Companies of all sizes
Industries Served
Financial Services, Healthcare, Retail, Manufacturing, Government, Education, Technology
Tags
Database, Microsoft SQL Server

Microsoft SQL Server's In-App Market Place

Does Microsoft SQL Server have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), CAD ($), AUD ($), CHF (CHF), CNY (¥), SEK (kr), INR (₹), SGD ($), HKD ($)

Pros & Cons

  • Seamless integration with Microsoft products.
  • Robust data security and reliability.
  • Scalable for large databases.
  • User-friendly tools like SQL Server Management Studio.
  • Strong community support and documentation.
  • Complex and confusing licensing.
  • Performance lags in high concurrency scenarios.
  • Cryptic error messages for minor issues.
  • Resource-intensive for large databases.
  • Missing built-in reporting alternatives.

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