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Azure Data Lake Storage vs NetApp Cloud Volumes Service for Google Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Sep 17, 2024

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
NetApp Cloud Volumes Servic...
Ranking in Cloud Storage
18th
Average Rating
9.4
Reviews Sentiment
8.4
Number of Reviews
3
Ranking in other categories
Cloud Migration (26th), Public Cloud Storage Services (19th)
 

Mindshare comparison

As of January 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 NetApp Cloud Volumes Service for Google Cloud is 1.6%, down from 1.8% 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%
NetApp Cloud Volumes Service for Google Cloud1.6%
Other97.0%
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.
CC
Co-Founder at Atsign
Enables us to fine-tune storage and capacity on the fly as our needs grow or shrink over time
NetApp delivers High Availability. It's critical to our work. That was the main driver for using NetApp. We have a highly resilient service and if you have a highly resilient service, you are only as resilient as the least resilient part of your infrastructure. That's what we were having trouble with our file system before. It was becoming troublesome, so we needed to find something that was much more highly resilient so that's why we moved to NetApp. The complexity of moving large numbers of files to the cloud depends on what you're trying to do. But for us, it was really simple. I imagine for large enterprise customers it is probably pretty tricky. They're probably on all different technologies inside a large corporation and they may or may not have very large pipes going to them. So if you're in a data center to the cloud then it's going to be easy, but if you have hundreds of branches like if you're a bank and have lots of branch banks, they might have very small pipes out to the internet. It might take forever. In our use case everything's brand new files, so it was pretty trivial. We didn't migrate to the cloud, we were already on the cloud, so it was a nonissue for us. NetApp enables us to share data across VMs. It actually reduced the amount of data storage we need. We were having to have storage attached to each VM. And now we can aggregate that storage across multiple VMs, so that actually gave us a net reduction, which was a good thing. We switched from using block storage to file storage to share data between our VMs. It made it easier, frankly but I worry about the scalability in the future. For the moment it made life easier. We were using block and then we moved back to file with NetApp.

Quotes from Members

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

Pros

"The response time and quality offered by the support team are good."
"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."
"We can implement one framework and utilize it for multiple use cases."
"Azure Data Lake Storage is user-friendly and easy to use."
"The tool is very safe to use. It is impossible to hack the product."
"The most valuable feature is the scalability due to the blob, which allows us to scale our data effectively."
"Offers high scalability for data storage"
"Azure Data Lake Storage is a user-friendly and easy-to-learn solution."
"Storage was taking up maybe 10 to 20% of my life at the startup, and now it takes up zero. I was personally running all the infrastructure for the company. Now that we've moved to NetApp, I don't have to worry about making sure it's up and running. It's made my life personally much better."
"High availability is very important to us because we have a production environment. High availability is the highest priority for us to continue keeping our systems running."
"In terms of its storage snapshot efficiencies, the service is highly efficient. We are only doing things in small batches right now because we have not converted all of the data, but we have tested them in the Google Cloud and they work efficiently."
 

Cons

"From an SAP perspective, direct connectivity to SAP systems is an area that could be enhanced."
"The version was a bit outdated compared to the newer Microsoft Data Fabric offerings."
"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."
"Simple migrations from one data lake to another take too much time and could be improved."
"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."
"The scalability is limited. However, it's easy to set up."
"Maybe the solution could be a bit more user-friendly."
"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."
"It would help if they increased the area in which they employ artificial intelligence, by starting to do assessments on the environments, to project those. They're not using any AI tools, currently, on the administrative side."
"The user interface has room for improvement. We would like this service to be more integrated with Azure, which is very easy to manage and use. It was easy to create volumes and add capacity pools in Azure, but in Google Cloud, we can only create separate volumes. We need more management or configuration options in the user interface."
"I would like for the sales team to get in contact more often and let me know what I should be doing next, what we should be doing about new features. So it would be nice if I heard a little bit more from him. From a technology perspective, I have no complaints."
 

Pricing and Cost Advice

"It's a pay-as-you-go model. Your charges are based on the amount of data you store."
"The tool is cheap, depending on the services and requirements you need."
"One of the most affordable products from the vendor"
"Compared to other options we've explored, I would rate the pricing a seven out of ten, with ten being expensive."
"From one to ten, where one is cheap and ten is expensive, I rate the product price as five."
"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."
"I rate the product price as two or three, where one is high, and ten is low. The product's price is really high."
"It costs just a few dollars per terabyte per month."
"We don't need so much space, and there is no option to pay as we go or use just what we need. Also, the only way to increase performance is by increasing the level of the service."
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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...
Ask a question
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Also Known As

No data available
CVS for Google Cloud, NetApp CVS for Google Cloud, Cloud Volumes Service for Google Cloud, Cloud Volumes Service for GCP, NetApp Cloud Volumes Service for GCP
 

Overview

 

Sample Customers

Information Not Available
Atos, Bandwidth, Wuxi NextCode
Find out what your peers are saying about Azure Data Lake Storage vs. NetApp Cloud Volumes Service for Google Cloud and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.