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Azure Data Lake Storage pros and cons

Vendor: Microsoft
4.3 out of 5

Pros & Cons summary

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Prominent pros & cons

PROS

Azure Data Lake Storage is praised for its speed and hierarchical structure, enhancing performance.
It offers strong security access policies and is considered very safe to use.
The integration capabilities within Microsoft are highly valued with multiple connectors and processes available.
The scalability provided by Azure Data Lake Storage is significant, making it effective for managing large volumes of data.
Azure Data Lake Storage is user-friendly, easy to set up, and versatile for various projects, including AI solutions.

CONS

Pricing and the licensing model are complex and often cited as areas needing improvement.
Direct connectivity from an SAP perspective and enhanced connectors for software like HubSpot and Xero are areas for improvement.
Migration processes are not as seamless and require enhancement, including from Lakehouse to Enterprise Data Lake (EDL).
The need for support of diverse data formats beyond the current offerings is highlighted as a limitation.
Throughput speed for accessing and writing data could be faster, enhancing overall performance.
 

Azure Data Lake Storage Pros review quotes

MatsHagberg Olsson1 - PeerSpot reviewer
Apr 16, 2024
The tool is very safe to use. It is impossible to hack the product.
reviewer2402067 - PeerSpot reviewer
May 16, 2024
Offers high scalability for data storage
Sebastian Romero - PeerSpot reviewer
May 10, 2024
The solution is worth the money because it allows you to gain insights into your business and implement forecasting solutions to predict future trends.
Learn what your peers think about Azure Data Lake Storage. Get advice and tips from experienced pros sharing their opinions. Updated: December 2024.
823,875 professionals have used our research since 2012.
Manish  Purohit - PeerSpot reviewer
Apr 8, 2024
I also like its speed. It's basically built on Azure Blob Storage, which was already fast. But Azure Data Lake Storage adds the hierarchical structure for even better performance.
SB
Sep 11, 2024
The tool offers a big storage layer. The security aspect is quite good. In Azure, there's an option for soft deletes and policy management. This allows us to store only the most up-to-date data while everything else can be policy-managed. This makes handling and management easier.
reviewer2405217 - PeerSpot reviewer
May 27, 2024
Microsoft is quite good when it comes to integration. They have multiple connectors available and different ingestion and integration processes available.
Khang Do - PeerSpot reviewer
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.
Mukesh  Kumar - PeerSpot reviewer
May 3, 2024
The response time and quality offered by the support team are good.
Richard Mottershead - PeerSpot reviewer
Aug 21, 2024
The most valuable feature of Azure Data Lake Storage is the ability to partition data into various datasets using a directory hierarchy. This folder structure is key for any delivery. Currently, we're not doing much with the data in the tool, but when Databricks comes along, we'll convert it to Parquet format. It's a two-step process: raw data is moved to Parquet, which Databricks can manipulate easily.
IN
Sep 17, 2024
Azure Data Lake itself doesn't have built-in features for handling data on its own. It's used as a collection of data. Tools you can use with it include Azure Data Factory and Databricks.
 

Azure Data Lake Storage Cons review quotes

MatsHagberg Olsson1 - PeerSpot reviewer
Apr 16, 2024
If tools like Azure Data Lake Storage are enabled within the tool named Azure Storage Explorer, then it would be of tremendous help, but it can be really tricky.
reviewer2402067 - PeerSpot reviewer
May 16, 2024
Lack of clarity in migration processes
Sebastian Romero - PeerSpot reviewer
May 10, 2024
When you store your files manually, you can't ensure complete data integrity, which can impact data security.
Learn what your peers think about Azure Data Lake Storage. Get advice and tips from experienced pros sharing their opinions. Updated: December 2024.
823,875 professionals have used our research since 2012.
MACIEJPOLAKOWSKI - PeerSpot reviewer
Aug 20, 2024
The version was a bit outdated compared to the newer Microsoft Data Fabric offerings.
Manish  Purohit - PeerSpot reviewer
Apr 8, 2024
Pricing is always a factor. It could be more affordable.
SB
Sep 11, 2024
If I had to nitpick, maybe the throughput could be faster - how quickly you can access data and how fast data can be written onto the Azure Data Lake Storage.
reviewer2405217 - PeerSpot reviewer
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.
Khang Do - PeerSpot reviewer
Nov 15, 2024
Currently, Azure Data Lake Storage has blob, table, and file share, but no vector feature.
Mukesh  Kumar - PeerSpot reviewer
May 3, 2024
The high price of the product is an area of concern where improvements are required.
Richard Mottershead - PeerSpot reviewer
Aug 21, 2024
One improvement I'd suggest is the out-of-the-box conversion of input data, like spreadsheet or table data, to various formats. We'll be using Parquet, which enables transactional integrity.

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