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Azure Data Lake Storage pros and cons

Vendor: Microsoft
4.3 out of 5
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Pros & Cons summary

Azure Data Lake Storage offers fast performance building on Azure Blob Storage with a hierarchical structure, high scalability, and robust security features. It integrates seamlessly with Microsoft connectors. Recommended for cost-effectiveness and usability, it faces pricing concerns and integration challenges with SAP systems. Migration processes and data format inclusion need improvement. Throughput optimization is crucial for better data access. Effective for tech buyers despite evolving licensing complexities.

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Prominent pros & cons

PROS

Azure Data Lake Storage enhances performance with a hierarchical structure and offers high scalability, making it suitable for diverse data storage needs.
The tool provides robust security features, including soft deletes and comprehensive policy management, ensuring data safety and compliance.
Integration with Microsoft's ecosystem and various data tools such as Azure Data Factory and Databricks enables versatile data handling and analytics.
The storage allows partitioning data into datasets using a directory hierarchy and supports different data types for effective analytics and dashboard design.
Cost-effective storage options come with valuable features like access keys, lifecycle management, and audit logs, enhancing data management efficiency.

CONS

Pricing could be more affordable, and the high pricing is a concern, especially considering the additional costs of Microsoft Fabric.
Enhancements are needed in APIs and connectors, with current limitations in SAP connectivity and field retrieval from software like HubSpot and Xero.
Migration processes lack clarity, take too much time, and need improvement, especially in the transition from Lakehouse to Enterprise Data Lake.
Data integrity concerns arise when files are stored manually, impacting security.
Microsoft's licensing model is difficult to understand and often evolving, needing simplification.
 

Azure Data Lake Storage Pros review quotes

MatsHagberg Olsson2 - PeerSpot reviewer
Apr 16, 2024
The tool is very safe to use. It is impossible to hack the product.
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reviewer2402067 - PeerSpot reviewer
May 16, 2024
Offers high scalability for data storage
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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.
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Azure Data Lake Storage
January 2025
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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.
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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.
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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.
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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.
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Mukesh Kumar - PeerSpot reviewer
May 3, 2024
The response time and quality offered by the support team are good.
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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.
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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.
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Azure Data Lake Storage Cons review quotes

MatsHagberg Olsson2 - 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.
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reviewer2402067 - PeerSpot reviewer
May 16, 2024
Lack of clarity in migration processes
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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.
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Buyer's Guide
Azure Data Lake Storage
January 2025
Free Report: Azure Data Lake Storage Reviews and More
Learn what your peers think about Azure Data Lake Storage. Get advice and tips from experienced pros sharing their opinions. Updated: January 2025.
DOWNLOAD NOW
831,020 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.
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Manish Purohit - PeerSpot reviewer
Apr 8, 2024
Pricing is always a factor. It could be more affordable.
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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.
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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.
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Khang Do - PeerSpot reviewer
Nov 15, 2024
Currently, Azure Data Lake Storage has blob, table, and file share, but no vector feature.
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Mukesh Kumar - PeerSpot reviewer
May 3, 2024
The high price of the product is an area of concern where improvements are required.
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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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Show 10 more reviews (out of 22)

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