

Panzura CloudFS and Azure Data Lake Storage compete in cloud-based data management and storage solutions. Panzura has the upper hand in collaboration and file management, while Azure excels in scalability and integration with big data tools.
Features: Panzura CloudFS focuses on collaboration, file snapshots, data protection, and reliable disaster recovery. It uses file locking and metadata caching to improve performance and ensure efficient workflows. Azure Data Lake Storage is built on Azure Blob Storage with a hierarchical structure, offering enhanced performance for big data, security, scalability, and seamless integration with Azure tools.
Room for Improvement: Panzura CloudFS could improve remote access for international users and offer more granular pricing options. It also needs better integration with modern authentication systems like Azure AD. Azure Data Lake Storage requires better API accessibility, enhanced integration beyond Microsoft ecosystems, and simplified migration processes.
Ease of Deployment and Customer Service: Panzura CloudFS is available across public and hybrid clouds, praised for its responsive support. Azure Data Lake Storage primarily operates on the public cloud with deep integration in Microsoft's ecosystem, but its support system needs better documentation and response times.
Pricing and ROI: Panzura CloudFS is seen as expensive with limited licensing flexibility but offers considerable ROI through improved synchronization. Azure Data Lake Storage provides a cost-effective pay-as-you-go model for large data volumes, though pricing can be complex and needs more transparency. It generally offers more affordable storage options with scalable solutions.
Previously, we had latency issues with syncing up files between offices. Files were not locked, leading to overwrites which cost us literally hundreds of thousands of dollars in lost time and revenue.
We saw the benefits of Panzura CloudFS immediately because our remote offices were able to share files immediately after the product went live.
Panzura CloudFS saves us a significant amount of time frequently.
The support team is very supportive, and most issues are resolved quickly once we get in touch with them.
A good support experience is marked by the speed of reply and the relevancy of resolution tips.
You can't expect her to know everything about Azure, but she knows who does know, so things can get handled by who knows about the topic the best, and that's usually the best way to handle anything anyway.
The support staff and the number of people they have on staff right now are truly good.
When we have a priority-one issue, we typically receive a call within 20 to 30 minutes.
I would give the support for Panzura CloudFS a ten out of ten because they are responsive and helpful.
If you have a lot of cross-region needs, then you might have to do more work because it doesn't natively store data in various regions; you have to pick a region.
For scalability, I rate Data Lake Storage around eight to nine on a scale of one to ten.
Scalability is good, and the system is versatile in accommodating whatever is needed to be stored.
Unlimited users can access the system without issues.
From our original entry with Panzura CloudFS, we have added an additional seven sites, and deploying those additional nodes was very seamless and did not take any effort.
The latest version, 8.0.2, has better ease of decommissioning filers and bringing new ones online.
Stability is rated around eight to nine out of ten.
I find the stability of Azure Data Lake Storage to be excellent and would rate it as an eight out of ten.
I would rate it a nine out of ten for stability.
We have never had their system crash on us.
There were times with file lock issues between filers, causing various anomalies, but with their ongoing development, these issues have improved.
Currently, migration is only one-way possible, and it would be beneficial if this aspect could be improved.
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.
With the emergence of AI technology, it would be convenient for storing vector indexes, essential for AI solutions.
When something goes wrong somewhere, there should be a little bit better alerting with issues before they become a big problem.
The GIS data formats, such as a geo database, have been found better kept outside of Panzura CloudFS.
It would have been nice if they had offered them in increments, of 5, 10, 15, or 20 terabytes than having to get a whole chunk of 25 terabytes again for licensing purposes, which is a little costly.
The pricing for Data Lake Storage depends on several factors, like the configuration for multiple or single locations and if it uses geo-redundancy storage, which is beneficial but consumes higher costs.
Azure Data Lake Storage is cheaper and provides three options for data storage tiers.
It did require us to purchase new hardware, however, that was not overly expensive.
They should consider more attractive pricing for companies of our size.
Overall, it is quite costly compared to NetApp and similar solutions.
Data Lake Storage can interact with any other Azure resources, providing seamless integration and connectivity.
Allows for automated configuration of data operations such as deletion and transfer between repositories.
It's essentially the blob storage but with more features that are analytics focused because usually that's what people are going to do with the Data Lake, which is ingest data for analytics.
It is very reliable and very quick.
It helps us increase network resilience. We have a primary object library stored in the cloud and have Panzura Mirroring which allows us to place data in a secondary cloud for added resiliency.
There is no degradation of speed because these filers have cached the data, and they are constantly swapping metadata and updating with each other, which is a very attractive method of getting us to use these applications.
| Product | Market Share (%) |
|---|---|
| Azure Data Lake Storage | 1.4% |
| Panzura CloudFS | 4.0% |
| Other | 94.6% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 7 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 6 |
| Large Enterprise | 3 |
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?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.
Panzura CloudFS connects data across a distributed network, offering an efficient solution for file storage and management in a cloud environment.
Designed for businesses needing robust data management, Panzura CloudFS enables seamless access and high availability by providing advanced capabilities for distributed file systems. This technology ensures collaboration and data consistency across multiple locations, optimizing enterprise storage strategies and enhancing data governance and compliance. Effective in reducing latency and operational complexity, it addresses the demands of global enterprises seeking scalable and reliable cloud file services.
What are the key features of Panzura CloudFS?Panzura CloudFS finds applications in sectors such as finance, healthcare, and media, where data integrity and accessibility are critical. Financial institutions benefit from secure and synchronized data access, while healthcare providers utilize it for managing patient data across locations. The media industry leverages its capabilities for collaboration and efficient media file handling worldwide.
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