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Azure Data Lake Analytics - New SaaS Software

Azure Data Lake Analytics Reviews in September 2026: User Ratings, Pros & Cons

Efficiently process big data without server management.

4.35

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Azure Data Lake Analytics Reviews & Ratings

4.35

Very Good

Based on 26 ratings & 36 reviews

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Rating Distribution

Excellent

(28)

Very Good

(7)

Good

(0)

Poor

(1)

Terrible

(0)

Azure Data Lake Analytics pros and cons

  • Processes massive parallel data transformations quickly with on-demand jobs and no servers to manage.

  • Automatic scaling handles large data volumes without worrying about provisioning hardware.

  • U-SQL blends SQL and C#, making it relatively easy to learn for those with SQL or Hadoop backgrounds.

  • Integrates well with Visual Studio, Power BI, Databricks and other Azure data services.

  • There is a learning curve and platform expertise is often needed to get started.

  • Troubleshooting and debugging in a distributed environment can be difficult, sometimes requiring Azure support tickets.

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Showing 31-36 out of 36

AU

Anonymous User

04/14/20

4.5 out of 5

"Muzammil Review on Azure on Lake Analytics"

What do you like best about Azure Data Lake Analytics? Data analytics are good and data mining is also okay What do you dislike about Azure Data Lake Analytics? Work flow have some limitation and assigning to users is little difficult What problems is Azure Data Lake Analytics solving and how is that benefiting you? Work flow is little complicated, data analytics is good

AU

Anonymous User

04/14/20

4.5 out of 5

"Muzammil Review on Azure on Lake Analytics"

What do you like best about Azure Data Lake Analytics? Data analytics are good and data mining is also okay What do you dislike about Azure Data Lake Analytics? Work flow have some limitation and assigning to users is little difficult What problems is Azure Data Lake Analytics solving and how is that benefiting you? Work flow is little complicated, data analytics is good

AU

Anonymous User

04/09/20

5 out of 5

"Data Lake Solutions done easy"

What do you like best about Azure Data Lake Analytics? Easy implementation features, lot of features are automated. What do you dislike about Azure Data Lake Analytics? Learning all functionalities still takes some time, easier if followed online available training or videos Recommendations to others considering Azure Data Lake Analytics: Lot of features are automated What problems is Azure Data Lake Analytics solving and how is that benefiting you? Integrating disparate data

AS

Anuj S

04/18/19

4.5 out of 5

"Azure Data Lake Analytics"

What do you like best about Azure Data Lake Analytics? It's a very easy tool to use for data analytics and especially for them who had used Hadoop in the past. We use U-SQL Scripting language that is a mix of SQL and C#. Performing data extraction is a pretty easy task in ADL. What do you dislike about Azure Data Lake Analytics? The processing time of the pipeline is more. Recommendations to others considering Azure Data Lake Analytics: It's a very good tool for setup. What problems is ...

Read more

AS

Anuj S

04/18/19

4.5 out of 5

"Azure Data Lake Analytics"

What do you like best about Azure Data Lake Analytics? It's a very easy tool to use for data analytics and especially for them who had used Hadoop in the past. We use U-SQL Scripting language that is a mix of SQL and C#. Performing data extraction is a pretty easy task in ADL. What do you dislike about Azure Data Lake Analytics? The processing time of the pipeline is more. Recommendations to others considering Azure Data Lake Analytics: It's a very good tool for setup. What problems is ...

Read more

AU

Anonymous User

05/15/18

3.5 out of 5

"Analytics review "

What do you like best about Azure Data Lake Analytics? Good interface and easy to use a wide range of features What do you dislike about Azure Data Lake Analytics? A little bit of a learning curve, but was not too bad What problems is Azure Data Lake Analytics solving and how is that benefiting you? Helps to streamline data analysis pipelines.

Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].