[
MS SQL Reviews
](https://www.g2.com/products/microsoft-sql-server/reviews)

[
MS SQL Reviews
](https://www.g2.com/products/microsoft-sql-server/reviews)

# Microsoft SQL Server Features

##### 
## Database Features (7)

Storage

Availability

Stability

Scalability

Security

Data Manipulation

Query Language

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##### 
## Database (3)

Real-Time Data Collection

Collects, stores, and organizes massive, unstructured data in real time

Data Distribution

Facilitates the disseminating of collected big data throughout parallel computing clusters

Data Lake

Creates a repository to collect and store raw data from sensors, devices, machines, files, etc.

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##### 
## Integrations (2)

Hadoop Integration

Aligns processing and distribution workflows on top of Apache Hadoop

Spark Integration

Aligns processing and distribution workflows on top of Apache Hadoop

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##### 
## Platform (3)

Machine Scaling

Facilitates solution to run on and scale to a large number of machines and systems

Data Preparation

Curates collected data for big data analytics solutions to analyze, manipulate, and model

Spark Integration

Aligns processing and distribution workflows on top of Apache Hadoop

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##### 
## Processing (2)

Cloud Processing

Moves big data collection and processing to the cloud

Workload Processing

Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems

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##### 
## Maintenance (3)

Data Migration

Allows data movement from one database to another.

Backup and Recovery

Provides data backup and recovery functionality to protect and restore a database.

Multi-User Environment

Allows users to access and work on data concurrently, supporting several views of the data.

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##### 
## Management (5)

Data dictionary

Stores the database metadata, that is the definitions of data elements, types, relationships etc.

Data Replication

Creates a copy of the database to maintain consistency and integrity.

Query Language

Allows users to create, update and retrieve data in a database.

Data Modeling

Defines the logical design of the data before building the schemas.

Performance Analysis

Monitors and analyzes critical database attributes like query performance, user sessions, dead lock detail, system errors etc and visualize them on a custom dashboard.

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##### 
## Security (6)

Data Encryption

Encrypts and transforms data at the database from a readable state into a ciphertext of unreadable characters.

User Access Control

Allows restricted user acess to modify depending on the access level.

Database Locking

Prevents other users and applications from accessing data while it is being updated to avoid data loss or update.

Access Control

Allows permissions to be granted or revoked in the database, schema or table levels.

Encryption

Built-in native encryption with enterprise key management.

Authentication

Provides multi-factor authentication with certificates.

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##### 
## Support (4)

Text Search

Provides support for international character sets and full text search.

Data Types

Supports multiple data types like primitive, structured, document etc.

Languages

Supports multiple procedural programming languages like PL/PGSQL, Perl, Python etc.

Operating Systems

Available on multiple operating systems like Linux, Windows, MacOS etc.

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##### 
## Performance (5)

Disaster Recovery

Provides data recovery functionality to protect and restore data in a database.

Data Concurrency

Allows multi-version concurrency control.

Workload Management

Handles workloads, from single machines to data warehouses or web services with many concurrent users.

Advanced Indexing

Allows users to quickly retrieve data through various types of indexing like B-tree, hash table etc.

Query Optimizer

Helps interpret SQL queries and determine the fastest method of execution.

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##### 
## Management (4)

Data Schema

Data is organized as a set of tables with columns and rows like a table structure.

Query Language

Allows users to create, update and retrieve data in a database.

ACID - Complaint

Adheres to ACID (atomicity, consistency, isolation, durability), a set of database transaction properties.

Data Replication

Provides log-based or/and trigger-based replication.

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## Top-Rated Alternatives

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## Technology Glossary Features

View full feature definition

View definitions of the features and discover new technology terms.

[View Glossary](/glossary)

[Data Manipulation](/glossary/data-manipulation-definition)

Data manipulation is the process of organizing, modifying, and transforming data to improve accuracy, usability, and analysis across systems and workflows.

[Data Modeling](/glossary/data-modeling-definition)

Data modeling is the process of creating visual representations of information systems to better communicate the connections between data points and structures. Learn more about data modeling in this G2 guide.

Microsoft SQL Server Comparisons

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4.3/5(1,015)

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MySQL

4.4/5(1,679)

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SAP HANA Cloud

4.3/5(619)

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##### Categories on G2

[
Relational Databases
](https://www.g2.com/categories/relational-databases)[
Database Management Systems (DBMS)
](https://www.g2.com/categories/database-management-systems-dbms)[
Big Data Processing and Distribution
](https://www.g2.com/categories/big-data-processing-and-distribution)

[
On-Premise Data Integration
](https://www.g2.com/categories/on-premise-data-integration)

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