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SQL Data Warehouse

A cloud-based data warehouse solution that enables organizations to analyze and visualize large datasets in near real-time, providing business intelligence insights through scalable, secure, and enterprise-grade infrastructure.

Reviews and Ratings of SQL Data Warehouse

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G2 Rating

4.0 (10 Reviews)

SaasGuro Rating

Overall 4.2 (44 Reviews)
Value for Money
Ease of Use
Support

Capterra Rating

4.3 (32 Reviews)

What verified reviews from expects say about
SQL Data Warehouse

Insights from field experts about SQL Data Warehouse from first hand

N. Moore

I've had an exceptional experience with Microsoft SQL Data Warehouse, enabling seamless data integration and effortless scalability while providing actionable insights through intuitive analytics and reporting capabilities.

D. Torres

I'm thoroughly impressed with SQL Data Warehouse's seamless scalability and lightning-fast query performance. Its intuitive interface and robust analytics capabilities have significantly streamlined our business intelligence processes, saving us time and resources. Highly recommend!

V. Stewart

I'm thoroughly impressed with SQL Data Warehouse's lightning-fast data processing and seamless integration capabilities - it's been a game-changer for our business analytics, enabling us to make informed decisions with accuracy and speed.

S. Patel

"I've had an exceptional experience with SQL Data Warehouse. Its ability to handle large-scale analytics and reporting tasks is unparalleled, providing actionable insights quickly and efficiently. The user interface is intuitive and scalable, making it a game-changer for our business opera...

R. Jones

I've encountered numerous errors and frustrating data inconsistencies while using SQL Data Warehouse, which significantly impacted my analytics accuracy and overall project timeline, rendering it less effective than expected.

D. Anderson

"I'm thoroughly impressed with SQL Data Warehouse's scalability and performance. The intuitive interface made it easy to set up and manage complex data analytics projects, saving me a significant amount of time and resources."

C. Johnson

I was underwhelmed with SQL Data Warehouse's performance. Despite its promise of scalability, my large dataset caused frequent timeouts and slow query execution times. The user interface was cluttered and difficult to navigate, making it hard to find relevant features. The cost was also st...

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Frequently asked questions about SQL Data Warehouse

Find answers to the most relevant queries to be able to make decisions right away.

What is a SQL Data Warehouse?

A SQL Data Warehouse is a cloud-based data warehousing solution that allows users to store, manage, and analyze large datasets using standard SQL language.


How does SQL Data Warehouse differ from traditional on-premises data warehouses?

SQL Data Warehouse offers greater scalability, flexibility, and cost-effectiveness compared to traditional on-premises data warehouses. It also provides a managed service experience with automatic software updates and patching.


What are the benefits of using SQL Data Warehouse for business intelligence and analytics?

SQL Data Warehouse provides fast and flexible data analysis, enabling businesses to make informed decisions. It also supports advanced analytics, machine learning, and IoT data processing.


Can I use existing ETL tools with SQL Data Warehouse?

Yes, SQL Data Warehouse is compatible with various ETL tools such as Informatica PowerCenter, Microsoft SSIS, and Azure Data Factory. You can also develop custom ETL solutions using Azure functions or logic apps.


How do I secure my data in a SQL Data Warehouse?

SQL Data Warehouse offers robust security features including encryption, access controls, and auditing capabilities. You can also leverage existing Azure Active Directory (AAD) identities to manage user access.


Can I integrate SQL Data Warehouse with other Microsoft Azure services?

Yes, SQL Data Warehouse is designed to work seamlessly with other Azure services such as Azure Synapse Analytics (formerly Azure Analysis Services), Power BI, and Azure Machine Learning. You can also use Azure functions or logic apps for custom integrations.



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