

Azure NetApp Files and Rivery compete in the cloud-based data management solutions category. Azure NetApp Files has the upper hand in scalability and performance, while Rivery stands strong in integration and automation.
Features: Azure NetApp Files provides high-performance storage, seamless Azure integration, and excellent data protection. It's suitable for large-scale applications due to its scalability. Rivery offers an intuitive data pipeline builder, automated transformation capabilities, and extensive integration options, which cater well to data-driven decision-making needs.
Ease of Deployment and Customer Service: Azure NetApp Files is easy to deploy for Azure users, benefiting from its native integration and reliable support. Rivery offers a user-friendly deployment experience, with strong customer service that aids in both setup and operations, providing a competitive edge with its support responsiveness.
Pricing and ROI: Azure NetApp Files features a flexible pricing model focused on cost-efficient storage scalability, delivering favorable ROI when using Azure infrastructure. Rivery's pricing is justified by feature richness and streamlined data operations, resulting in strong ROI for businesses requiring complex data transformations.
It saved my team time and really reduced manual work, so overall, it improved efficiency.
By using Snowflake and Rivery, I was able to set up and complete project goals myself without the necessity to employ additional data engineers or DevOps.
Microsoft has limitations with Azure Files, which do not support disaster recovery, so they approached NetApp for help based on their experience in on-premises and cloud storage.
They have top-notch people.
One significant challenge was implementing custom-built Python scripts using Rivery for transformations.
Customer support is great; they are answering really fast.
The customer support for Rivery is excellent.
Scalability is high. I would say it's probably around nine because it's quite a robust solution that can scale up to maybe even five hundred terabytes of data.
It has handled growing data volumes and additional pipelines without major issues.
The focus is on the ability to connect to different sources and to put all the data together.
In terms of storage stability, I believe it's robust and stable, with a high level of redundancy in the cloud backend.
I found the tool very easy to use, allowing me to gain a lot of insights.
The excellent support we received from Rivery team contributes to this perception.
If they bring the cost a little bit closer to what Azure Files offers, it can be a great product in the market and bring a lot of business to NetApp.
I would like for them to have more compression so that it can avoid using more storage.
As an end-to-end solution for ETL with Snowflake, Rivery has proven to be reliable and efficient in my day-to-day work.
Agentic AI with open source tools can be used to build all configurations automatically for pipelines.
One feature that stood out in Informatica was the ability to see data flowing through each transformation step while debugging, which I felt was missing in Rivery.
It is expensive, especially with NetApp Ultra Storage.
It's highly priced, and there's no cost reservation option available compared to Azure Files.
I found myself asking my stakeholder to make it only five times a day because it was really expensive.
I found the pricing and licensing to be fair and competitive compared to other solutions I have seen.
The most valuable feature is that the sixty-terabyte database snapshot can be done in less than two to three minutes.
I think the most valuable feature is using the cross-region replication because this feature was not available in Azure Files, and this was the differentiator.
Rivery saved time and money because everything was handled in one place by only one or two data people instead of using the resources of a development team, which is great, and all the knowledge is handled in one team.
The main benefit Rivery brought to my organization was the time we were able to save on development.
Rivery has positively impacted my organization by reducing the need for a big team of data engineers and speeding up the work when we need to connect to a new data source; this can happen really fast.
| Product | Mindshare (%) |
|---|---|
| Azure NetApp Files | 4.2% |
| Rivery | 1.7% |
| Other | 94.1% |

| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 2 |
| Large Enterprise | 14 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 1 |
| Large Enterprise | 3 |
Azure NetApp Files offers flexibility, speed, and tight Active Directory integration, making it versatile. Its scalability, rapid response time, and replication capabilities like SnapMirror enhance its value, along with SEC compliance through SnapLock and efficient database management.
Azure NetApp Files is a robust service for unstructured data storage within Microsoft Azure and on-premises environments. It supports NFS and CIFS protocol testing, SQL backups, SAP virtualization, Azure Virtual Desktop, and event collection. This service facilitates seamless provisioning, non-disruptive resizing, and fast snapshots for disaster recovery. Known for high availability and cost-effective throughput, its ease of use and security make it preferred by users. Issues with high pricing and support highlight areas for enhancement, alongside desires for expanded regional availability, better security, and integration with diverse solutions.
What are the key features of Azure NetApp Files?In educational contexts, Azure NetApp Files shines by offering seamless data handling and high IOPS performance, supporting high-demand environments like research facilities. For enterprises, it aids legacy system migrations and optimizes virtual environments while enhancing data protection and file share performance.
Rivery enhances automation with its built-in pipelines, seamless Snowflake integration, and flexible data management capabilities. It supports extensive connectivity and user-defined functions, aiding efficient data flow management.
Rivery provides a robust platform for automating data ingestion and transformation workflows, integrating effortlessly into data warehouses like Snowflake. Its user-friendly interface and extensive API connectivity simplify data extraction and flow, accommodating diverse needs with custom scripting and user-defined functions. Despite its strengths, improvements are desired in lineage, impact analysis, and advanced visualization, along with better orchestration and logging capabilities. Users also seek price adjustments for smaller organizations and integration with modern AI technologies to elevate analytical capabilities.
What features does Rivery offer?In industries such as retail and finance, Rivery is crucial for managing ETL processes. Retail organizations use it for integrating data from sales channels and customer databases, driving targeted marketing strategies. Finance companies rely on its robust pipelines and Snowflake integration to streamline complex financial data transformations and enhance reporting accuracy.
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