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SQL Server 2025 Cheat Sheet

SQL Server 2025 Cheat Sheet

Back to Databases
Updated 2026-04-21
Next Topic: SQL Server Management Studio (SSMS) Cheat Sheet

SQL Server 2025 is Microsoft's flagship relational database management system (RDBMS), a comprehensive platform for enterprise data storage, processing, and analytics that runs on both Windows and Linux. This release, generally available since November 2025, introduces transformative capabilities including native AI integration with vector search and DiskANN indexing, a native JSON data type with binary storage and indexing, regular expression functions, and significant performance improvements through intelligent query processing. Understanding SQL Server's rich feature set—from core T-SQL syntax and indexing strategies to advanced capabilities like temporal tables, Always On availability, and in-memory OLTP—is essential for building scalable, high-performance database solutions.


What This Cheat Sheet Covers

This topic spans 33 focused tables and 290 indexed concepts. Below is a complete table-by-table outline of this topic, spanning foundational concepts through advanced details.

Table 1: Core Data TypesTable 2: Query FundamentalsTable 3: JOIN OperationsTable 4: Aggregate FunctionsTable 5: Window FunctionsTable 6: String FunctionsTable 7: Regular Expression Functions (New in 2025)Table 8: Fuzzy String Matching (Preview in 2025)Table 9: Date and Time FunctionsTable 10: Conditional LogicTable 11: SubqueriesTable 12: Common Table Expressions (CTEs)Table 13: Data ModificationTable 14: IndexesTable 15: ConstraintsTable 16: TransactionsTable 17: Isolation LevelsTable 18: Stored Procedures and FunctionsTable 19: Error HandlingTable 20: JSON Functions (Enhanced in 2025)Table 21: XML FunctionsTable 22: Data Transformation OperatorsTable 23: Table PartitioningTable 24: Temporal Tables (System-Versioned)Table 25: High Availability and Disaster RecoveryTable 26: Performance and Query OptimizationTable 27: Backup and RecoveryTable 28: Security and PermissionsTable 29: In-Memory OLTPTable 30: Advanced T-SQL FeaturesTable 31: Vector Search and AI Integration (New in 2025)Table 32: External Integration and Database Engine (New in 2025)Table 33: System Functions and Metadata

Table 1: Core Data Types

TypeExampleDescription
INT
product_id INT
• Standard 4-byte integer ranging from -2,147,483,648 to 2,147,483,647
• the most common whole number type.
BIGINT
order_total BIGINT
8-byte integer supporting extremely large values (-9,223,372,036,854,775,808 to 9,223,372,036,854,775,807).
VARCHAR(n)
name VARCHAR(100)
• Variable-length string storing up to n characters (max 8,000)
• uses only space needed plus 2 bytes overhead.
NVARCHAR(n)
title NVARCHAR(200)
• Unicode variable-length string supporting international characters
• 2 bytes per character, max 4,000 characters.
DECIMAL(p,s)
price DECIMAL(10,2)
• Fixed-precision numeric where p is total digits (1-38) and s is decimal places
• essential for financial data.
DATETIME2
created_at DATETIME2
• High-precision datetime with 100-nanosecond accuracy
• range 0001-01-01 to 9999-12-31
• recommended over legacy DATETIME.
DATE
birth_date DATE
• Date-only type (no time component) storing YYYY-MM-DD
• 3 bytes storage.

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