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Azure Data Lake Storage vs Iron Mountain Iron Cloud comparison

 

Comparison Buyer's Guide

Executive Summary

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

Azure Data Lake Storage
Ranking in Cloud Storage
9th
Average Rating
8.6
Reviews Sentiment
6.7
Number of Reviews
25
Ranking in other categories
No ranking in other categories
Iron Mountain Iron Cloud
Ranking in Cloud Storage
19th
Average Rating
7.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the Cloud Storage category, the mindshare of Azure Data Lake Storage is 1.4%, up from 0.7% compared to the previous year. The mindshare of Iron Mountain Iron Cloud is 1.1%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Storage Market Share Distribution
ProductMarket Share (%)
Azure Data Lake Storage1.4%
Iron Mountain Iron Cloud1.1%
Other97.5%
Cloud Storage
 

Featured Reviews

reviewer2767269 - PeerSpot reviewer
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.
Naved Hussain - PeerSpot reviewer
Chief Technology Officer at Adani Enterprises Ltd
A SaaS solution that improves efficiency and helps to save time
The tool helps with hidden cloud storage. We can build security practices according to our needs. It is reactive rather than proactive.  The solution must conduct extensive research, build a product based on compression and OCR techniques, and improve scalability.  I have been using the product…

Quotes from Members

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

Pros

"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."
"Microsoft is quite good when it comes to integration. They have multiple connectors available and different ingestion and integration processes available."
"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."
"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."
"Offers high scalability for data storage"
"Azure Data Lake Storage offers comprehensive integration with a variety of Azure tools, such as SQL servers and the Azure DevOps platform."
"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."
"The tool helps with hidden cloud storage. We can build security practices according to our needs. It is reactive rather than proactive."
 

Cons

"The documentation could be more user-friendly with better tutorials."
"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."
"The speed of support response needs to improve, especially for critical, high-priority issues. Having a quick SLA response time is crucial."
"When you store your files manually, you can't ensure complete data integrity, which can impact data security."
"Pricing is always a factor. It could be more affordable."
"Improvement is needed in the migration process from Lakehouse to Enterprise Data Lake (EDL). Currently, migration is only one-way possible, and it would be beneficial if this aspect could be improved."
"From an SAP perspective, direct connectivity to SAP systems is an area that could be enhanced."
"The solution must conduct extensive research, build a product based on compression and OCR techniques, and improve scalability."
 

Pricing and Cost Advice

"It's a pay-as-you-go model. Your charges are based on the amount of data you store."
"Compared to other options we've explored, I would rate the pricing a seven out of ten, with ten being expensive."
"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'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."
"Pricing is tricky because it depends on the solution you're building and the type of Data Lake storage you use—hot or cold."
"It costs just a few dollars per terabyte per month."
"From one to ten, where one is cheap and ten is expensive, I rate the product price as five."
"Iron Mountain Iron Cloud is expensive."
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Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise7
Large Enterprise11
No data available
 

Questions from the Community

What do you like most about Azure Data Lake Storage?
The tool's most valuable feature is security access policies.
What needs improvement with Azure Data Lake Storage?
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 c...
What do you like most about Iron Mountain Iron Cloud?
The tool helps with hidden cloud storage. We can build security practices according to our needs. It is reactive rather than proactive.
What needs improvement with Iron Mountain Iron Cloud?
The solution must conduct extensive research, build a product based on compression and OCR techniques, and improve scalability.
 

Overview

 

Sample Customers

Information Not Available
1. Aetna 2. Accenture 3. Adidas 4. AIG 5. Air Canada 6. Air France/KLM 7. Allstate 8.American Express 9. Aon 10. Apple 11. ATT 12. Autodesk 13. Bank of America 14. Barclay's 15.Bayer 16. Berkshire Hathaway 17. BlackRock 18. Boeing 19. BNP Paribas 20. Citigroup 21. Coca-Cola 22. Comcast 23. ConocoPhillips 24. Credit Suisse 25. CVS Health 26. Dell 27. Disney 28. Eli Lilly 29. Equinix 30. Exxon 31. FedEx 32. Ford Motor Company
Find out what your peers are saying about Google, Dropbox, NetApp and others in Cloud Storage. Updated: February 2026.
881,733 professionals have used our research since 2012.