Amazon FSx vs Azure Data Lake Storage comparison

Amazon Web Services (AWS) and Microsoft are both solutions in the Cloud Storage category. Amazon Web Services (AWS) is ranked #15 with an average rating of 8.3, while Microsoft is ranked #9 with an average rating of 8.5. Amazon Web Services (AWS) holds a 4.1% mindshare in CS, compared to Microsoft’s 1.4% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Microsoft users who would recommend it.

Amazon FSx

Read 4 Amazon FSx reviews

1,166 Views
606 Comparison Views

100% willing to recommend

Azure Data Lake Storage

Read 25 Azure Data Lake Storage reviews

479 Views
479 Comparison Views

100% willing to recommend

Amazon FSx

Azure Data Lake Storage

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Amazon FSx and Azure Data Lake Storage based on real PeerSpot user reviews.

Find out in this report how the two Cloud Storage solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Amazon FSx vs. Azure Data Lake Storage Report (Updated: December 2025).

Buyer's Guide

Amazon FSx vs. Azure Data Lake Storage

December 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon FSx

Ranking in Cloud Storage

15th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

File System Software (5th), File and Object Storage (15th)

Azure Data Lake Storage

Ranking in Cloud Storage

9th

Average Rating

8.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Cloud Storage category, the mindshare of Amazon FSx is 4.1%, up from 2.0% compared to the previous year. The mindshare of Azure Data Lake Storage is 1.4%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Storage Market Share Distribution
Product	Market Share (%)
Azure Data Lake Storage	1.4%
Amazon FSx	4.1%
Other	94.5%

Cloud Storage

Featured Reviews

MuhammadAzhar Khan

Senior DevOps Engineer at Alibaba Group

Shared storage capabilities provide enterprise value with good reliability

Amazon FSx is more costly compared to other storage solutions like EBS or EFS. The auto-scaling feature should be improved, as it currently includes downtime. I need to manually increase the storage, which is not ideal. Integrating FSx with Windows Server is challenging; it's a long process involving Active Directory (AD) setup and synchronization.

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reviewer2767269

Vice President, Technology at a tech vendor with 11-50 employees

Has improved analytics workflows through seamless integration and strong data management capabilities

It depends on the tool when it's outside of the Microsoft portfolio as to whether it integrates; it really depends on what you're doing with the other tool. The cost is something that everyone is cost-sensitive about. There was a curious feature that I was interested in; I think it was something in preview, a blob scanning ability, the ability to have a hardware-level querying of the data there. I don't think it worked with Parquet data; I think it mainly worked with plain text data. That's something that I would want to have added, is the ability to scan and query data with Parquet, because currently, that's what you have to use Databricks to do. They make it easy to set up, and their licensing for Azure Data Lake Storage is just pay-as-you-go, so you can get into it quite easily. The devil's in the details, because the cost as you use it can be difficult to forecast because it really depends upon all the other services and how heavily it's being used. There are other features that can catch you, such as a storage security scanner that automatically scans your storage for malware. Compliance departments and IT departments love that type of feature, so people will blanket enable that, but then that racks up tons of bills because it's reading massive files constantly that should be excluded from that type of scan because it's not a type of file capable of having malware; it's the backend database. There are some gotchas with the pricing; you have to be careful. There's not really a way to throttle it either. The premium tier, which they recommend for analytics, can't be switched off once enabled. Similarly, if you start on standard tier, you can never upgrade it; you have to delete it and make a new one. These limitations are quite annoying.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"We used it for disaster recovery perspective behind a number of resources, like batch services and RDS."

"I rate the stability of Amazon FSx ten out of ten."

"On a scale of one to ten, I would rate Amazon FSx a ten."

"FSx operates as an independent service, not tied to any server, which eliminates dependencies between applications for storage."

"The shared storage capability is highly valuable."

"Storage within Azure Data Lake is cheaper, which is one of the reasons we moved to it."

"Azure Data Lake Storage is a user-friendly and easy-to-learn solution."

"Azure Data Lake Storage is user-friendly and easy to use."

"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."

"Data Lake Storage provides valuable features such as access keys, container strings, lifecycle management, audit logs, and the soft delete option."

"The most valuable feature is the scalability due to the blob, which allows us to scale our data effectively."

"We can implement one framework and utilize it for multiple use cases."

"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."

More Azure Data Lake Storage pros

Cons

"A direct FTP feature would be beneficial instead of relying on transmission services."

"Amazon FSx is more costly compared to other storage solutions like EBS or EFS."

"I've been facing a challenge when doing a failover from FSx side. AWS console does not refresh within a half hour."

"Amazon FSx is more costly compared to other storage solutions like EBS or EFS."

"From my experience, there are areas in Amazon FSx where more performance is needed, as they will be looking for higher IOPS."

"The speed of support response needs to improve, especially for critical, high-priority issues. Having a quick SLA response time is crucial."

"Azure Data Lake Storage should support other formats apart from the Data Lake format, such as the Iceberg format."

"The high price of the product is an area of concern where improvements are required."

"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."

"Improvement is needed in the migration process from Lakehouse to Enterprise Data Lake (EDL)."

"Currently, Azure Data Lake Storage has blob, table, and file share, but no vector feature."

"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."

"Pricing is always a factor. It could be more affordable."

More Azure Data Lake Storage cons

Pricing and Cost Advice

"The lowest price I have paid is $370 or $380 per month, while the highest can exceed $3,000 per month."

"Pricing is tricky because it depends on the solution you're building and the type of Data Lake storage you use—hot or cold."

"One of the most affordable products from the vendor"

"It costs just a few dollars per terabyte per month."

"On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing a seven out of ten."

"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 is cheap, depending on the services and requirements you need."

"Compared to other options we've explored, I would rate the pricing a seven out of ten, with ten being expensive."

"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."

More Azure Data Lake Storage pricing and cost advice

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Top Industries

By visitors reading reviews

Manufacturing Company

14%

Financial Services Firm

11%

University

Retailer

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	7
Large Enterprise	11

Questions from the Community

What needs improvement with Amazon FSx?

From my experience, there are areas in Amazon FSx where more performance is needed, as they will be looking for higher IOPS. Sometimes we go with Weka or other solutions due to this need, so it sho...

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What is your primary use case for Amazon FSx?

Our customers mainly use Amazon FSx for high-performance computing. Our customers are mainly in the Life Science and Pharma industries. The majority of people are looking at S3 as their destination...

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What advice do you have for others considering Amazon FSx?

There is an ongoing project where my customers are exploring the FSx solution, but not yet for AI-driven projects; they plan to in the future. For those who want to use Amazon FSx, I recommend it a...

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What do you like most about Azure Data Lake Storage?

The tool's most valuable feature is security access policies.

See all answers

What is your experience regarding pricing and costs for Azure Data Lake Storage?

I am not familiar with the pricing.

See all answers

What needs improvement with Azure Data Lake Storage?

See all answers

Comparisons

NetApp Cloud Volumes ONTAP vs Amazon FSx

Compared 19% of the time

Azure NetApp Files vs Amazon FSx

Compared 10% of the time

Amazon EBS (Elastic Block Store) vs Amazon FSx

Compared 10% of the time

Dell PowerScale (Isilon) vs Amazon FSx

Compared 8% of the time

Nasuni vs Amazon FSx

Compared 5% of the time

More Amazon FSx Competitors

Dropbox Business - Enterprise vs Azure Data Lake Storage

Compared 34% of the time

Google Cloud Storage vs Azure Data Lake Storage

Compared 34% of the time

Panzura CloudFS vs Azure Data Lake Storage

Compared 17% of the time

Iron Mountain Iron Cloud vs Azure Data Lake Storage

Compared 15% of the time

More Azure Data Lake Storage Competitors

Product Reports

Buyer's Guide

Cloud Storage

January 2026

Download Amazon FSx product report

Buyer's Guide

Azure Data Lake Storage

January 2026

Download Azure Data Lake Storage product report

Also Known As

Amazon FSx for Windows File Server, Amazon FSx for Lustre

No data available

Overview

Amazon FSx makes it easy and cost effective to launch and run popular file systems. With Amazon FSx, you can leverage the rich feature sets and fast performance of widely-used open source and commercially-licensed file systems, while avoiding time-consuming administrative tasks like hardware provisioning, software configuration, patching, and backups. It provides cost-efficient capacity and high levels of reliability, and it integrates with other AWS services so that you can manage and use the file systems in cloud-native ways.

Amazon FSx provides you with two file systems to choose from: Amazon FSx for Windows File Server for enterprise workloads and Amazon FSx for Lustre for high-performance workloads.

Amazon Web Services (AWS)

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 Data capabilities for developing technological solutions. With strong security features, high scalability, hierarchical namespace for better performance, and efficient data partitioning, it integrates seamlessly with tools like Databricks. Supporting structured, unstructured, and semi-structured data, it is ideally suited for data lakes.

What are the key features of Azure Data Lake Storage?

Strong security features: Includes SAS tokens and access policies
High scalability: Able to manage vast amounts of data
Hierarchical namespace: Improves performance
Efficient data partitioning: Enhances data management
User-friendly configuration and integration: Supports tools like Databricks
Support for various data formats: Ideal for data lakes

What are the expected benefits and ROI?

Hybrid cloud directories: Enhances data management
Enhanced big data handling: Improves data analytics processes
Policy management for data retention: Facilitates compliance

Azure Data Lake Storage finds its application in several industries by enabling technological solutions that leverage its Big Data capabilities. For instance, businesses in finance use it for aggregating financial reports, while retail companies leverage it for customer data analytics. Healthcare industries use it to store and analyze patient data securely. The manufacturing sector benefits by integrating data from different sources to optimize production processes.

Microsoft

Sample Customers

Neiman Marcus, T Mobile, Docxellent, Matrix, Lyell

Information Not Available

Buyer's Guide

Amazon FSx vs. Azure Data Lake Storage

December 2025

Free Report: Amazon FSx vs. Azure Data Lake Storage

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