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Azure Data Lake Storage Logo

Azure Data Lake Storage pros and cons

Vendor: Microsoft
4.3 out of 5
Badge Leader

Pros & Cons summary

Buyer's Guide

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Prominent pros & cons

PROS

Azure Data Lake Storage is built on Azure Blob Storage, offering enhanced performance with a hierarchical structure.
Security access policies are a valuable feature, providing robust protection and management features like soft deletes.
Azure Data Lake Storage allows the storage of structured, unstructured, and semi-structured data, enabling diverse data analytics capabilities.
Integration with various Azure tools, such as Azure Data Factory and Databricks, is seamless, enhancing functionality and use case flexibility.
The scalability offered by the blob infrastructure allows effective management of large data volumes without performance issues.

CONS

Pricing could be more affordable and clearer, with a need to manage potential gotchas effectively.
Improvement is needed in the migration process from Lakehouse to Enterprise Data Lake, as current options are limited to one-way migration.
Enhancements in connectors are required, especially for software like HubSpot and Xero, to retrieve all data more efficiently.
Version control and better support for different data formats, like Iceberg format, are needed.
The throughput for data access and writing should be faster, alongside improving the scalability and support response time.
 

Azure Data Lake Storage Pros review quotes

Rama Subba Reddy Thavva - PeerSpot reviewer
Solution Architect at Mercedes-Benz AG
Mar 27, 2026
For performance and scalability, we have never faced any issues even though we handle at least a TB of data every day without any performance problems.
reviewer2767269 - PeerSpot reviewer
Vice President, Technology at a tech vendor with 11-50 employees
Oct 17, 2025
I would say the best features include that it's easy to integrate; it's certainly easy to integrate with the other things in the Microsoft portfolio.
Chetan Jayatheertha - PeerSpot reviewer
DevOps Manager at a computer software company with 5,001-10,000 employees
Nov 11, 2024
Data Lake Storage provides valuable features such as access keys, container strings, lifecycle management, audit logs, and the soft delete option.
Learn what your peers think about Azure Data Lake Storage. Get advice and tips from experienced pros sharing their opinions. Updated: May 2026.
893,221 professionals have used our research since 2012.
Khang Do - PeerSpot reviewer
Data Engineer at a financial services firm with 1,001-5,000 employees
Nov 15, 2024
I would recommend Azure Data Lake Storage because it is straightforward to set up and versatile for various projects, especially AI solutions requiring document storage.
MatsHagberg Olsson2 - PeerSpot reviewer
Senior Solutions Architect at EQ2 Technology
Apr 16, 2024
The tool is very safe to use. It is impossible to hack the product.
CJ
EPM Practice Manager at a tech services company with 1,001-5,000 employees
Apr 1, 2025
Azure Data Lake Storage offers comprehensive integration with a variety of Azure tools, such as SQL servers and the Azure DevOps platform.
Animesh.Kumar - PeerSpot reviewer
Senior Solutions Architect at Think Power Solutions
Nov 25, 2024
The most valuable feature is the scalability due to the blob, which allows us to scale our data effectively.
Sebastian Romero - PeerSpot reviewer
Data Engineer at Universidad Peruana de Ciencias Aplicadas
May 10, 2024
The solution is worth the money because it allows you to gain insights into your business and implement forecasting solutions to predict future trends.
Mukesh  Kumar - PeerSpot reviewer
Senior Software Engineer at a tech consulting company with 10,001+ employees
May 3, 2024
The response time and quality offered by the support team are good.
Martijn Imrich - PeerSpot reviewer
Product Manager at AfroUrembo
Aug 16, 2024
The solution's most valuable feature is its simplicity of configuration and setup.
 

Azure Data Lake Storage Cons review quotes

Rama Subba Reddy Thavva - PeerSpot reviewer
Solution Architect at Mercedes-Benz AG
Mar 27, 2026
To give Azure Data Lake Storage a ten out of ten, they need to optimize the cost.
reviewer2767269 - PeerSpot reviewer
Vice President, Technology at a tech vendor with 11-50 employees
Oct 17, 2025
There are some gotchas with the pricing; you have to be careful. There's not really a way to throttle it either.
Chetan Jayatheertha - PeerSpot reviewer
DevOps Manager at a computer software company with 5,001-10,000 employees
Nov 11, 2024
Improvement is needed in the migration process from Lakehouse to Enterprise Data Lake (EDL).
Learn what your peers think about Azure Data Lake Storage. Get advice and tips from experienced pros sharing their opinions. Updated: May 2026.
893,221 professionals have used our research since 2012.
Khang Do - PeerSpot reviewer
Data Engineer at a financial services firm with 1,001-5,000 employees
Nov 15, 2024
Currently, Azure Data Lake Storage has blob, table, and file share, but no vector feature.
MatsHagberg Olsson2 - PeerSpot reviewer
Senior Solutions Architect at EQ2 Technology
Apr 16, 2024
If tools like Azure Data Lake Storage are enabled within the tool named Azure Storage Explorer, then it would be of tremendous help, but it can be really tricky.
CJ
EPM Practice Manager at a tech services company with 1,001-5,000 employees
Apr 1, 2025
The speed of support response needs to improve, especially for critical, high-priority issues. Having a quick SLA response time is crucial.
Animesh.Kumar - PeerSpot reviewer
Senior Solutions Architect at Think Power Solutions
Nov 25, 2024
It would be beneficial if some AI features were added.
Sebastian Romero - PeerSpot reviewer
Data Engineer at Universidad Peruana de Ciencias Aplicadas
May 10, 2024
When you store your files manually, you can't ensure complete data integrity, which can impact data security.
Mukesh  Kumar - PeerSpot reviewer
Senior Software Engineer at a tech consulting company with 10,001+ employees
May 3, 2024
The high price of the product is an area of concern where improvements are required.
Martijn Imrich - PeerSpot reviewer
Product Manager at AfroUrembo
Aug 16, 2024
Simple migrations from one data lake to another take too much time and could be improved.