---
title: Azure SQL Server Stretch Database Reviews
meta_title: 'Azure SQL Server Stretch Database Reviews 2026: Details, Pricing, & Features
  | G2'
meta_description: Filter 17 reviews by the users' company size, role or industry to
  find out how Azure SQL Server Stretch Database works for a business like yours.
aggregate_rating:
  rating_value: 4.1
  review_count: 17
  scale: '5'
date_modified: '2026-08-09'
parent_category:
  name: Database Software
  url: https://www.g2.com/categories/database-software
---


# Azure SQL Server Stretch Database Reviews
**Vendor:** Microsoft  
**Category:** [Database Management Systems (DBMS)](https://www.g2.com/categories/database-management-systems-dbms)  
**Average Rating:** 4.1/5.0  
**Total Reviews:** 17
## About Azure SQL Server Stretch Database
Azure SQL Server Stretch Database was a feature introduced in SQL Server 2016 that allowed organizations to dynamically extend their on-premises databases to Azure, enabling seamless access to both hot and cold data without significant changes to existing applications. This capability provided virtually unlimited storage and compute capacity, facilitating efficient management of large datasets. Key Features and Functionality: - Dynamic Data Stretching: Automatically migrate cold or infrequently accessed data from on-premises SQL Server databases to Azure, while keeping hot data on-premises for optimal performance. - Transparent Query Processing: Execute queries across both on-premises and Azure-stored data without modifying existing applications, as the process is transparent to users. - Integrated Security: Utilize Always Encrypted technology to ensure that sensitive data is encrypted before being transferred to Azure, with encryption keys remaining on-premises. - Scalability: Leverage Azure&#39;s scalable storage and compute resources to manage growing data volumes without the need for significant infrastructure investments. Primary Value and User Solutions: Azure SQL Server Stretch Database addressed the challenges of managing large and growing datasets by providing a cost-effective solution for archiving cold data without compromising accessibility. It enabled organizations to maintain compliance with data retention policies and regulatory requirements by keeping data online and readily available. By offloading cold data to Azure, businesses could optimize on-premises storage and compute resources, leading to improved performance and reduced maintenance costs. However, it&#39;s important to note that Microsoft announced the deprecation of the SQL Server Stretch Database feature in SQL Server 2022, with the supporting Azure service retired as of July 9, 2024. Organizations are advised to explore alternative solutions for managing cold data, such as utilizing the CREATE EXTERNAL TABLE AS SELECT (CETaS) feature in SQL Server 2022, which allows archiving data to Azure Storage in Parquet format for cost-effective storage and analytics.



## Azure SQL Server Stretch Database Pros & Cons
**What users like:**

- Users value the **seamless integration** of Azure SQL Server Stretch Database, especially for large enterprises. (1 reviews)
- Users value the **solution efficiency** of Azure SQL Server Stretch Database, noting its seamless operation for large enterprises. (1 reviews)

**What users dislike:**

- Users find the **poor customer support** for Azure SQL Server Stretch Database to be frustrating and unhelpful. (1 reviews)

## Azure SQL Server Stretch Database Reviews
  ### 1. Excellent

**Rating:** 4.5/5.0 stars

**Reviewed by:** Jenika D. | Workday Senior Consultant, Small-Business (50 or fewer emp.)

**Reviewed Date:** January 24, 2025

**What do you like best about Azure SQL Server Stretch Database?**

The services provided were good and the software is seamless and works well for large enterprises

**What do you dislike about Azure SQL Server Stretch Database?**

It is somewhere not good in support services.

**What problems is Azure SQL Server Stretch Database solving and how is that benefiting you?**

It provides secured and reliable data storage that gives user multiple and fast data access.also it is benificial to reduce data maar costs.


## Azure SQL Server Stretch Database Discussions
  - [What is a similar product?  Who are its&#39; competitors?](https://www.g2.com/discussions/32519-what-is-a-similar-product-who-are-its-competitors) - 1 comment, 1 upvote
  - [What is stretch database in SQL Server?](https://www.g2.com/discussions/what-is-stretch-database-in-sql-server) - 1 comment

- [View Azure SQL Server Stretch Database pricing details and edition comparison](https://www.g2.com/products/azure-sql-server-stretch-database/reviews?filters%5Bsentiment_snippet%5D=2237239&qs=pros-and-cons&section=pricing&secure%5Bexpires_at%5D=2026-08-12+13%3A22%3A33+-0500&secure%5Bsession_id%5D=87f08cd9-1084-4d07-b60c-6108b9625f71&secure%5Btoken%5D=9a45016a0c8869ab92d4179e22b093a3984401d5d4ac96401c3cbbbdce29457a&format=llm_user)

## Azure SQL Server Stretch Database Features
**Management**
- Data dictionary
- Data Replication
- Query Language
- Data Modeling
- Performance Analysis
- Data Synchronization
- Real-Time Data
- Data Storage Management

**Maintenance**
- Data Migration
- Backup and Recovery
- Multi-User Environment
- Automatic Backup
- Database Conversion

**Security**
- Data Encryption
- User Access Control
- Mobile Access

**Additional Functionality**
- Workflow Management
- Third-Party Integrations
- Data Extraction
- Relational Database Management
- SSL Security
- API
- Data Connectors
- Search/Filter
- Reporting & Statistics
- Customizable Templates
- AI Copilot
- Full Text Search
- Data Virtualization
- Data Import/Export
- Generative AI
- Drag & Drop
- Customizable Fields
- Authentication
- Data Visualization
- Secure Data Storage
- Activity Dashboard
- Data Mapping
- Multiple Programming Languages Supported
- Data Capture and Transfer
- User Management
- NOSQL Database Management
- Access Controls/Permissions
- Calendar Management
- Real-Time Monitoring
- Document Storage
- Audit Management
- Charting

## Top Azure SQL Server Stretch Database Alternatives
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