Data Engineer at a financial services firm with 1,001-5,000 employees
Real User
Top 10
2024-11-15T20:04:00Z
Nov 15, 2024
The pricing is reasonable. Azure Data Lake Storage is cheaper and provides three options for data storage tiers. However, I'm not familiar with the pricing of other solutions like AWS S3, as I haven't used them.
DevOps Manager at a computer software company with 5,001-10,000 employees
MSP
Top 5
2024-11-11T16:08:00Z
Nov 11, 2024
The pricing for Data Lake Storage depends on several factors, like the configuration for multiple or single locations and if it uses geo-redundancy storage, which is beneficial but consumes higher costs. Enabling lifecycle management and using cost-saving features can keep the expenses in check.
Strategy Consultant at a computer software company with 201-500 employees
Consultant
Top 20
2024-05-27T14:31:12Z
May 27, 2024
Microsoft, in general, needs to simplify its licensing model. That's one of the biggest issues with Microsoft. The licensing model is either quite difficult to understand or is constantly evolving. I think there's a will to simplify it because one of the biggest client complaints is that the licensing model is always messy and evolving. It's quite difficult to understand. However, I'm quite satisfied with the pricing. It's quite good.
The tool's licensing model is pay-as-you-go. Regarding pricing, there's always competition between Azure Data Lake Storage and AWS. They're quite similar, but to attract more customers, Azure Data Lake Storage could consider adjusting its pricing to be more competitive with AWS. This might make Azure Data Lake Storage a more appealing option for users.
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 am not familiar with the pricing.
The pricing is reasonable. Azure Data Lake Storage is cheaper and provides three options for data storage tiers. However, I'm not familiar with the pricing of other solutions like AWS S3, as I haven't used them.
The pricing for Data Lake Storage depends on several factors, like the configuration for multiple or single locations and if it uses geo-redundancy storage, which is beneficial but consumes higher costs. Enabling lifecycle management and using cost-saving features can keep the expenses in check.
Pricing is tricky because it depends on the solution you're building and the type of Data Lake storage you use—hot or cold.
The tool is cheap, depending on the services and requirements you need.
Microsoft, in general, needs to simplify its licensing model. That's one of the biggest issues with Microsoft. The licensing model is either quite difficult to understand or is constantly evolving. I think there's a will to simplify it because one of the biggest client complaints is that the licensing model is always messy and evolving. It's quite difficult to understand. However, I'm quite satisfied with the pricing. It's quite good.
I rate the product price as two or three, where one is high, and ten is low. The product's price is really high.
The tool's licensing model is pay-as-you-go. Regarding pricing, there's always competition between Azure Data Lake Storage and AWS. They're quite similar, but to attract more customers, Azure Data Lake Storage could consider adjusting its pricing to be more competitive with AWS. This might make Azure Data Lake Storage a more appealing option for users.