Overview
Product Information on Azure Data Lake Analytics
Updated 13th October 2025
What is Azure Data Lake Analytics?
Azure Data Lake Analytics Pricing
Overall experience with Azure Data Lake Analytics
IT SUPPORT
10B - 30B USD, BankingFAVORABLE
“Azure Data Lake Analytics”
Very good and it helpful great product
The data lake analytics tool is good, and provides loads of compute power to speed up processing time
Manager, Business Information
500M - 1B USD, GovernmentCRITICAL
“Marketing Looks Good but Challenged in Real Work Implementation”
Product looks good but tried to get more support from vendor on demonstrating capabilities, possible use cases, how other companies are using it. Have not had great success. There are many components to their AZURE analytics solution, just takes time to understand how all the pieces work together. Most of the R&D has been through staff fumbling through the sea of possibilities. Slow progress.
About Company
Company Description
Microsoft enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to empower every person and every organization on the planet to achieve more. Microsoft is dedicated to advancing human and organizational achievement. Microsoft Security helps protect people and data against cyberthreats to give peace of mind.
Company Details
Company type
Public
Year Founded
1975
Head office location
Redmond, Washington, United States
Number of employees
10000+
Annual Revenue
30B+ USD
Website
Do You Manage Peer Insights at Microsoft?
Access Vendor Portal to update and manage your profile.
Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
Reviewer Insights for: Azure Data Lake Analytics
Performance of Azure Data Lake Analytics Across Market Features
Azure Data Lake Analytics Likes & Dislikes
Implementation and support from vendor
Breath of capabilities, quick to access, low cost.
Support for OneDrive for Enterprise, Sharepoint Online and Exchange online.
nothing
Lack of up to date training. Knowledge and training scattered. No Quick Start guide.
Single management console on Cloud.
Top Azure Data Lake Analytics Alternatives
Peer Discussions
Azure Data Lake Analytics Reviews and Ratings
Filter Reviews
Sort By:
Most helpful
Last 12 Months
Star Rating
Reviewer Type
Reviewer's Company Size
Reviewer's Industry
Reviewer's Region
Reviewer's Job Function
- IT SUPPORT10B+ USDBankingReview Source
Azure Data Lake Analytics
Very good and it helpful great product The data lake analytics tool is good, and provides loads of compute power to speed up processing time - Project Management1B-10B USDMediaReview Source
Microsoft
Microsoft is aggressively adding Azure capabilities to its cloud solutions like Office 365 email, OneDrive for Enterprise but Microsoft cannot use EDM for structured data. This is critical for us. - Manager Business Intelligence50M-1B USDManufacturingReview Source
Implementation was easy but more features required
Azure Data Lake Analytics lets us pay per each Job which saves tons of money without any infrastructure or any commitment, It is very easy to create ADLA jobs in USQL compared to other Big Data Languages and its is easy to transition from TSQL to USQL. Although it is good tool and very smart way to implement technology but Azure Data factory which is used to build pipelines need significant improvements in features such as allowing easy way to backfill data, also alerting is very limited. - Enterprise Data Architect50M-1B USDRetailReview Source
Implementation was sufficiently easy, required figuring out the right complementary tools
Easy to get started with Data Lake, and build on structured/unstructured data sets using data lake analytics. The data lake analytics tool is transformation rich, and provides loads of compute power to speed up processing times (without load contingencies). - Manager, Business Information50M-1B USDGovernmentReview Source
Marketing Looks Good but Challenged in Real Work Implementation
Product looks good but tried to get more support from vendor on demonstrating capabilities, possible use cases, how other companies are using it. Have not had great success. There are many components to their AZURE analytics solution, just takes time to understand how all the pieces work together. Most of the R&D has been through staff fumbling through the sea of possibilities. Slow progress.
Showing Result 1-5 of 6