--- title: Azure Data Lake Analytics Reviews meta_title: 'Azure Data Lake Analytics Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 37 reviews by the users' company size, role or industry to find out how Azure Data Lake Analytics works for a business like yours. aggregate_rating: rating_value: 4.2 review_count: 37 scale: '5' date_modified: '2026-07-12' parent_category: name: Big Data url: https://www.g2.com/categories/big-data --- # Azure Data Lake Analytics Reviews **Vendor:** Microsoft **Category:** [Big Data Analytics Software](https://www.g2.com/categories/big-data-analytics) **Average Rating:** 4.2/5.0 **Total Reviews:** 37 ## About Azure Data Lake Analytics Azure Data Lake Analytics is a distributed, cloud-based data processing architecture offered by Microsoft in the Azure cloud. It is based on YARN, the same as the open-source Hadoop platform. ## Azure Data Lake Analytics Reviews ### 1. The power house of data management **Rating:** 5.0/5.0 stars **Reviewed by:** Sam L. | Mid-Market (51-1000 emp.) **Reviewed Date:** February 04, 2023 **What do you like best about Azure Data Lake Analytics?** Fast and scalable solution for all industries that deal with data processing. **What do you dislike about Azure Data Lake Analytics?** Learning curve and professional services were the only reason why we got up and running quickly **What problems is Azure Data Lake Analytics solving and how is that benefiting you?** Process large data transformation jobs using pretty much any language needed. ### 2. Great service to manage your big data needs **Rating:** 4.5/5.0 stars **Reviewed by:** Abhishek C. | Senior Technology Architect, Enterprise (> 1000 emp.) **Reviewed Date:** January 07, 2022 **What do you like best about Azure Data Lake Analytics?** Loved the ability to process massive parallel data transformation and support for multiple processing languages viz. U-SQL, R, Phython etc. **What do you dislike about Azure Data Lake Analytics?** Debugging in a multi cloud distributed environment is bit time consuming, looking forward for more simplified process in future releases **Recommendations to others considering Azure Data Lake Analytics:** Service is secure, easy to setup, build, scale and run out of the box on Azure cloud platform. Parallel processing is great on performance for big data analytics and reporting. **What problems is Azure Data Lake Analytics solving and how is that benefiting you?** We are handling cross platform applications and various partners sending bulk data to be analysed and processed and reporting needs to real quick which is solved by this product ### 3. Great Analytics Tool Built Into the Microsoft Environment **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** October 15, 2021 **What do you like best about Azure Data Lake Analytics?** Simplicity, easy interface, built into the Microsoft platform and great for teams that work with Azure today. **What do you dislike about Azure Data Lake Analytics?** I do not have any negative feedback on this platform. **Recommendations to others considering Azure Data Lake Analytics:** Look up documentation and reach out to other teams who have rolled this out to get examples of best practices and use cases. **What problems is Azure Data Lake Analytics solving and how is that benefiting you?** This has helped streamline our analytics from multiple systems into one place, and has dramatically increased our productivity when trying to run analysis. ### 4. Azure Data Analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** August 06, 2020 **What do you like best about Azure Data Lake Analytics?** An easy way to store big data for future analysis. secure and compliant. Consolidating your big data into one place **What do you dislike about Azure Data Lake Analytics?** Requires Platform Expertise and Management **Recommendations to others considering Azure Data Lake Analytics:** Its very scalable and Se curable with manageable services.Suggested to work with huge volumes of data. **What problems is Azure Data Lake Analytics solving and how is that benefiting you?** Loading huge volume of data from SAP systems to Data lake and Processing the data for further business Solutions. Benefits realized like loading data with required formats and maintaining high security for the confidential data ### 5. Big data analytics with Azure Data Lake **Rating:** 4.0/5.0 stars **Reviewed by:** Nizamuddin V. | Marketing lead, Enterprise (> 1000 emp.) **Reviewed Date:** November 03, 2020 **What do you like best about Azure Data Lake Analytics?** Azure data lake is one of best tool for bigdata processing and most importantly it works only for batch workloads that makes it simple. However storage of relational database and NoSQL are provided complimentarily. **What do you dislike about Azure Data Lake Analytics?** Lack of streaming option and event processing workloads. however some addons can be associated with azure data lake such as azure data bricks or HDInsight which can help in streaming and event processing workloads. **Recommendations to others considering Azure Data Lake Analytics:** If someone is looking for a simple tool to process big data they can blindly go with azure as you can only focus on the process instead finding other services like storage etc.. with another provider. Azure data lake analytics is clean and has much more features that will help you finish your process with less time frame. **What problems is Azure Data Lake Analytics solving and how is that benefiting you?** We used Azure data lake analytics to study customer service over multiple channels including email, texts, voice call etc.. the goal was to analyze the data sets from various sources. The simple user interface makes the azure data lake analytics a reliable and easy to use program which can be used efficiently even by users at the beginning stage. ### 6. Azure Data Lake Analytics more efficient and more fast **Rating:** 4.5/5.0 stars **Reviewed by:** Satish C. | Senior Software Engineer at EPAM Systems, Inc., Enterprise (> 1000 emp.) **Reviewed Date:** July 30, 2020 **What do you like best about Azure Data Lake Analytics?** Azure data lake analytics services very useful while processing large amounts of data. Its also giving awesome security with Azure AD. **What do you dislike about Azure Data Lake Analytics?** A little bit confusing to the user who coming from the MSBI background . Many developers turned into azure platform from the other area of technology, They need some kind of easy ness to use this tool. **Recommendations to others considering Azure Data Lake Analytics:** This tool is very fast in analytics and good support to report tools like power BI as I feel, while we integrating with any of other software or service it's authenticating with azure inbuilt active directory service jwt tokens.we can also get azure ad b2c service integration also. if anyone wants to elaborate this like Ready to explore big data analytics? “Big data” is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them. Challenges include capture, storage, analysis, data curation, search, sharing, transfer, visualization, querying. I want to give the update here Blob storage now supports encryption at rest. Another update is Azure Data Lake Analytics is a distributed, cloud-based data processing architecture offered by Microsoft in the Azure cloud. It is based on YARN, the same as the open-source Hadoop platform. It pairs with Azure Data Lake Store, a cloud-based storage platform designed for Big Data analytics. **What problems is Azure Data Lake Analytics solving and how is that benefiting you?** To do report visualization analytics are more important, When we dealing with large data, this service is very much helpful. It also working with power BI services for reporting. ### 7. Review on Azure Datalake Analytics **Rating:** 4.5/5.0 stars **Reviewed by:** Manish N. | SSE-Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** August 05, 2020 **What do you like best about Azure Data Lake Analytics?** USQL is very easy to learn and has features of query language as well as programming language. by using ADLA TBs of data can be easily analysed and in very short period of time. Monitoring and alerting is very helpful in ADLA. Gives very good out of the box features. **What do you dislike about Azure Data Lake Analytics?** ADLA can have a web based development IDE also as like Azure data factory. **What problems is Azure Data Lake Analytics solving and how is that benefiting you?** Analysing huge amount of data in very short period of time. Have to pay only for consumed ADLUs. ### 8. Great tool for data analysis **Rating:** 5.0/5.0 stars **Reviewed by:** Christian U. | Enterprise (> 1000 emp.) **Reviewed Date:** April 19, 2020 **What do you like best about Azure Data Lake Analytics?** Procedure enormous information occupations in seconds with Azure Data Lake Analytics. There is no foundation to stress over on the grounds that there are no servers, virtual machines or bunches to hang tight for, oversee or tune. In a flash scale the handling power, estimated in Azure Data Lake Analytics Units (AU), from one to thousands for each activity. You just compensation for the preparation which you use per work. - Massively versatile, secure information lake usefulness based on Azure Blob Storage - Develop hugely equal projects with straightforwardness - Debug and enhance your huge information programs effortlessly **What do you dislike about Azure Data Lake Analytics?** Low efficiency in managing and monitoring of the data pipeline **Recommendations to others considering Azure Data Lake Analytics:** Azure Data Lake Analytics dynamically scales so you'll concentrate on your business goals. rather than deploying, configuring, and tuning hardware, you write queries to rework your data and help extract valuable insights. **What problems is Azure Data Lake Analytics solving and how is that benefiting you?** Azure data lake analytics has been able to help us manage and read data within a short period of time thereby making our work easy and efficient. ### 9. Good for analysis **Rating:** 3.5/5.0 stars **Reviewed by:** Pawan K. | Associate IT Developer - Front End, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** August 07, 2020 **What do you like best about Azure Data Lake Analytics?** I like the storage they provide for big data. Performance is very good. it is very good for big data analytics. Navigation is similar and familiar like any other tools. **What do you dislike about Azure Data Lake Analytics?** I think they could have make to more simple. **What problems is Azure Data Lake Analytics solving and how is that benefiting you?** Generally we face performance issue when we deal with big data but with this we get very good performance. ### 10. Complete Data lake review **Rating:** 5.0/5.0 stars **Reviewed by:** Abhishek Y. | Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** August 28, 2020 **What do you like best about Azure Data Lake Analytics?** Data lake allows to us to connect to various source like power bi,data bricks **What do you dislike about Azure Data Lake Analytics?** We can't download complete folder and there are so many key required to connect to it **Recommendations to others considering Azure Data Lake Analytics:** If you confused how to handle many excels we can you it. **What problems is Azure Data Lake Analytics solving and how is that benefiting you?** We can keep our data on much more safer environment ## Azure Data Lake Analytics Discussions - [what azure data lake is best at](https://www.g2.com/discussions/31094-what-azure-data-lake-is-best-at) - 1 upvote - [How can assign the Analytic unit (AU) based on amount of data.?](https://www.g2.com/discussions/30528-how-can-assign-the-analytic-unit-au-based-on-amount-of-data) - [Is there any scope further to implement same as the Googles Big Query at least in Gen 3 of Azure? Any though process at-least to step in this way?](https://www.g2.com/discussions/30354-is-there-any-scope-further-to-implement-same-as-the-googles-big-query-at-least-in-gen-3-of-azure-any-though-process-at-least-to-step-in-this-way) - [What are ur suggestions people coming from MSBI side](https://www.g2.com/discussions/30182-what-are-ur-suggestions-people-coming-from-msbi-side) - [Why azure analytics is taking lot of memory with multiple stages of processing with near real-time data process](https://www.g2.com/discussions/30079-why-azure-analytics-is-taking-lot-of-memory-with-multiple-stages-of-processing-with-near-real-time-data-process) - [View Azure Data Lake Analytics pricing details and edition comparison](https://www.g2.com/products/azure-data-lake-analytics/reviews/azure-data-lake-analytics-review-4538329?section=pricing&secure%5Bexpires_at%5D=2026-07-18+21%3A51%3A26+-0500&secure%5Bsession_id%5D=5c464686-ae34-4a2b-9622-fbc93bc81b4c&secure%5Btoken%5D=a387a76272a3813a0ca6be2d88916e2de9e974f1ff0b91e5276782d6f4abd256&format=llm_user) ## Azure Data Lake Analytics Features **Data Transformation** - Real-Time Analytics - Data Querying **Connectivity** - Hadoop Integration - Spark Integration - Multi-Source Analysis - Data Lake **Operations** - Data Visualization - Data Workflow - Governed Discovery - Embedded Analytics - Notebooks **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top Azure Data Lake Analytics Alternatives - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - 4.5/5.0 (1,144 reviews) - [Splunk Enterprise](https://www.g2.com/products/splunk-enterprise/reviews) - 4.3/5.0 (415 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (707 reviews)