

Find out in this report how the two AI Data Analysis solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
It provides a positive return on investment for those who can connect multiple data sources and make data-driven decisions easily.
If you don't need to write a whole ETL to make the data virtualization, you need way fewer people to write a query instead of writing an ETL pipeline.
I have seen a return on investment, which showed up in improved customer satisfaction scores.
It is not primarily about cost optimization, but more about protecting our organization against ransomware attacks to avoid being brought to its knees.
We can see approximately 10% in savings, which could be in terms of time saving or money saving.
They have a good methodology for learning how to use the tool.
Denodo's customer support team is very competent and responsive.
If we raise a ticket, it can be resolved or addressed within a reasonable time frame, so support is good.
This is a challenge for me, especially since I work in APAC, and whenever we engage with Veritas technical support, I must wait for someone in the United States to be available to help with our issue.
The IVR system should be reduced so that customers can reach support directly, as when someone calls, it is typically for a critical technical issue and the call should connect directly to a representative.
For huge data requests, it cannot scale automatically; admin action is required.
Denodo's scalability comes into play specifically when there is data transfer.
My client has almost 100 million records, and the performance was impacted in a way that required optimization.
Veritas Alta Data Protection is not expensive, which makes it scalable.
I would rate it nine out of ten because it is very reliable, always performing as expected.
If JVM does not function properly, it may cause Denodo to fail to connect to different sources.
Denodo is stable and good.
Ensuring data caching is up to date is critical.
Denodo needs better communication on how the product can be deployed for specific solutions.
The system has dependencies on other environments, like JVM, which can affect its performance.
I want a very simple GUI which even an L1 engineer or L1 cloud engineer can understand and use with minimum supervision.
Veritas Alta Data Protection can be deployed on multiple cloud providers, including Azure and GCP.
The solution could benefit from some artificial intelligence features where we can restore files or get assistance from the AI side.
For small companies, it's not a solution that most small companies can afford.
Denodo is considered pricey, limiting its use to large enterprises or government organizations that can afford its comprehensive setup.
Denodo's pricing is not affordable for small companies and is more suitable for medium to large enterprises.
Since we have been using Veritas Alta Data Protection for the last four years, the price is very friendly.
Regarding the pricing aspect, we received a pretty good discount when we started onboarding all of our backups to Veritas Alta Data Protection.
Denodo's ability to connect to multiple data sources and perform extract-transform-load (ETL) operations on the fly is noteworthy.
The most valuable feature of Denodo is its uniformity of self-site data access types, which allows it to connect to almost any storage technology and feed it transparently.
Denodo supports SQL base, so if you want to join two tables or two views, you can use SQL, which is an advantage as most developers or business people know SQL.
We tested the effectiveness of Veritas Alta Data Protection's granular restoration feature during POC because we had a requirement to test various scenarios like restoring the bucket in a particular region, restoring the bucket in a different region, restoring EC2 instances, restoring containers, and databases.
The unique selling proposition includes automated policy-driven operations.
The best feature Veritas Alta Data Protection offers is integration with existing hyperscalers or virtual platforms as well as integration with current computing platforms, where we can see this working well with our existing scenarios.
| Product | Mindshare (%) |
|---|---|
| Denodo | 0.7% |
| Veritas Alta Data Protection | 0.5% |
| Other | 98.8% |


| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 6 |
| Large Enterprise | 20 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 1 |
| Large Enterprise | 5 |
Denodo specializes in data virtualization, data cataloging, and user-friendly interfaces. It's recognized for connecting disparate data sources, presenting unified data for analytics, and supporting efficient decision-making with agile analytics and robust data governance.
Denodo effectively aggregates data from multiple sources to offer a comprehensive understanding through its virtualization capabilities. It provides role-based access control, flexible query languages, performance optimization, and integration with databases. Enhancements are needed in its interface and documentation to ensure better user experiences. While the platform supports cloud migration, integration challenges with tools like Salesforce and MuleSoft exist. Improvements in data visualization, automation, and scalability, especially in large data environments, are critical areas for growth.
What are the key features of Denodo?In industries like finance, healthcare, and retail, Denodo plays a crucial role in data virtualization and integration. Organizations use it to unify disparate data systems, enabling real-time analytics and supporting cloud migrations. Denodo's platform is ideal for businesses needing to aggregate, transform, and utilize diverse data efficiently, optimizing operations and enhancing governance.
Veritas Alta Data Protection offers comprehensive data backup and recovery solutions tailored for enterprises, ensuring data safety and compliance.
Designed for seamless integration into complex IT environments, Veritas Alta Data Protection leverages advanced technology to provide reliable data protection, scalability, and ease of management. It caters to diverse sectors, supporting cloud-native and hybrid architectures while ensuring streamlined disaster recovery. Users find it valuable in optimizing backup processes, securing sensitive information, and maintaining high data integrity.
What are the key features of Veritas Alta Data Protection?In industries like finance and healthcare, Veritas Alta Data Protection is implemented to address critical data protection needs. It supports the secure handling of sensitive customer information and adheres to stringent compliance mandates, ensuring continuous protection and availability of essential data resources.
We monitor all AI Data Analysis reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.