Vice President, Technology at a tech vendor with 11-50 employees
Real User
Top 20
Oct 17, 2025
I don't deal with DDoS protection or Network Watcher. Is that the on-prem version? With Azure, I just deal with Azure Stack. It's not an AWS product, so it wasn't purchased through the AWS marketplace. The overall rating for Azure Data Lake Storage is 9 out of 10.
EPM Practice Manager at a tech services company with 1,001-5,000 employees
Real User
Top 5
Apr 1, 2025
Overall, I would rate Azure Data Lake Storage as an eight out of ten. I have not encountered any complex or critical issues with Data Lake so far. I recommend it to others due to its integration capabilities and stability.
Data Engineer at a financial services firm with 1,001-5,000 employees
Real User
Top 10
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. I rate the product around nine out of ten.
DevOps Manager at a computer software company with 5,001-10,000 employees
MSP
Top 10
Nov 11, 2024
It is essential to enable lifecycle management in Data Lake Storage for better cost management. Proper setup according to your use case and employing strategies like using cold or archive tiers can save cost and optimize usage. I'd rate the solution nine out of ten.
Data Strategist, Cloud Solutions Architect at BiTQ
Real User
Top 5
Sep 11, 2024
The tool can be used by small and large companies. It's not restricted by price, so it's not just for high-end companies. Especially with cloud options available now, any company can potentially use it. For competitors, from a cloud-based provider perspective, you have Amazon, Google, and other cloud providers. If you are building your custom solution, you can use traditional SAN drives on-premise for data lake storage, which becomes expensive. I'd say the main competitors of the cloud options are Microsoft, AWS, and Google. There are potentially other providers like Alibaba, but I haven't used them, so I can't provide more information about them. I have experience integrating AI solutions with Azure Data Lake Storage and helped design some of them. AI solutions access data similarly to downstream systems like ETL tools. For cloud providers, the connections to AI tools are typically built into their products. I rate the overall solution a nine out of ten. I definitely recommend Azure Data Lake Storage. I have recommended it for all the solutions I've designed and built for my clients. I would recommend it to anybody considering entering the data space or looking at building warehouses, AI solutions, etc.
I use Azure Data Lake Storage in a cloud-only setup, not on-premises. We receive API calls and store the responses in the product. Then, we process these files using the tool. For first-time users, I recommend learning from Microsoft materials or YouTube videos before using the tool. It is better to gain some knowledge before using it. It's easy for beginners to learn and use, especially compared to AWS and other services. I'd rate Azure Data Lake Storage eight out of ten. I find it user-friendly as a fresher with about two point eight years in my tech career. I started my career with this tool, gained much knowledge, and now I can lead a team.
Strategy Consultant at a computer software company with 201-500 employees
Consultant
Top 10
May 27, 2024
I would recommend it to other users. I would not recommend it to the smallest companies because you have an entry ticket while using this kind of tool. It's based on usage, but it's mostly beneficial for companies that have big architecture to build, that are looking for a big, complex architecture. It's quite relevant for that. If you, as a small company, would like to simplify and rationalize, you may have some packaged products that would not only provide storage or transformation, but a different kind of end-to-end experience that would be better. Overall, I would rate the solution an eight out of ten.
Data Engineer at Universidad Peruana de Ciencias Aplicadas
Real User
Top 10
May 10, 2024
For ETL solutions, it’s essential to stay updated with new and recurring events that might arise. Reviewing forums, articles, and media can help you identify trends and troubleshooting tips relevant to your project. This proactive approach can help you anticipate and address potential issues effectively. Overall, I rate the solution a nine out of ten.
Senior Software Engineer at a tech consulting company with 10,001+ employees
Real User
Top 10
May 3, 2024
Integrating Azure Data Lake Storage into my company's current workflow was easy. I recommend the product to those who plan to use it. I rate the tool an eight to nine out of ten.
The tool is the best platform for storing all kinds of data; I've never experienced any downtime with it. Plus, it offers secure access and security features, which I appreciate. I rate the product a nine out of ten.
Azure Data Lake Storage is widely used for data warehousing, storing processed data, raw customer files, and integrating data from multiple sources, supporting analytics, reporting, and machine learning by securely storing JSON, CSV, and other formats.
Organizations use Azure Data Lake Storage to aggregate information for reporting, integrate it into data pipelines, and benefit from secure transfer capabilities. It serves data scientists as a staging area and businesses leverage its Big...
I don't deal with DDoS protection or Network Watcher. Is that the on-prem version? With Azure, I just deal with Azure Stack. It's not an AWS product, so it wasn't purchased through the AWS marketplace. The overall rating for Azure Data Lake Storage is 9 out of 10.
Overall, I would rate Azure Data Lake Storage as an eight out of ten. I have not encountered any complex or critical issues with Data Lake so far. I recommend it to others due to its integration capabilities and stability.
Overall, I would rate the Azure Data Lake Storage as nine out of ten.
Exploring more AI features might enhance the solution. I'd rate the solution seven out of ten.
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. I rate the product around nine out of ten.
It is essential to enable lifecycle management in Data Lake Storage for better cost management. Proper setup according to your use case and employing strategies like using cold or archive tiers can save cost and optimize usage. I'd rate the solution nine out of ten.
I'd rate the solution eight out of ten.
The tool can be used by small and large companies. It's not restricted by price, so it's not just for high-end companies. Especially with cloud options available now, any company can potentially use it. For competitors, from a cloud-based provider perspective, you have Amazon, Google, and other cloud providers. If you are building your custom solution, you can use traditional SAN drives on-premise for data lake storage, which becomes expensive. I'd say the main competitors of the cloud options are Microsoft, AWS, and Google. There are potentially other providers like Alibaba, but I haven't used them, so I can't provide more information about them. I have experience integrating AI solutions with Azure Data Lake Storage and helped design some of them. AI solutions access data similarly to downstream systems like ETL tools. For cloud providers, the connections to AI tools are typically built into their products. I rate the overall solution a nine out of ten. I definitely recommend Azure Data Lake Storage. I have recommended it for all the solutions I've designed and built for my clients. I would recommend it to anybody considering entering the data space or looking at building warehouses, AI solutions, etc.
I use Azure Data Lake Storage in a cloud-only setup, not on-premises. We receive API calls and store the responses in the product. Then, we process these files using the tool. For first-time users, I recommend learning from Microsoft materials or YouTube videos before using the tool. It is better to gain some knowledge before using it. It's easy for beginners to learn and use, especially compared to AWS and other services. I'd rate Azure Data Lake Storage eight out of ten. I find it user-friendly as a fresher with about two point eight years in my tech career. I started my career with this tool, gained much knowledge, and now I can lead a team.
I would recommend it to other users. I would not recommend it to the smallest companies because you have an entry ticket while using this kind of tool. It's based on usage, but it's mostly beneficial for companies that have big architecture to build, that are looking for a big, complex architecture. It's quite relevant for that. If you, as a small company, would like to simplify and rationalize, you may have some packaged products that would not only provide storage or transformation, but a different kind of end-to-end experience that would be better. Overall, I would rate the solution an eight out of ten.
For ETL solutions, it’s essential to stay updated with new and recurring events that might arise. Reviewing forums, articles, and media can help you identify trends and troubleshooting tips relevant to your project. This proactive approach can help you anticipate and address potential issues effectively. Overall, I rate the solution a nine out of ten.
Integrating Azure Data Lake Storage into my company's current workflow was easy. I recommend the product to those who plan to use it. I rate the tool an eight to nine out of ten.
The tool is the best platform for storing all kinds of data; I've never experienced any downtime with it. Plus, it offers secure access and security features, which I appreciate. I rate the product a nine out of ten.