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.
There are licensing costs that have been saved when we moved some of the data platforms, decommissioned them, and moved on to this platform.
In terms of return on investment, I see great changes in operational effectiveness measured by RTO when comparing on-premises solutions with cloud solutions.
A specific example of the positive impact of Cloudera Data Platform is the clearly saved time and improved performance, which is the main result of it.
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.
I would rate the customer support of Cloudera Data Platform ten out of ten.
I have communicated with technical support, and they are responsive and helpful.
Cloudera support is timely and responsive, adhering to the SLAs they provide.
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.
CDP allows for easy, mostly automated scalability where I can schedule job workflows, fine-tune system resource metrics, and add nodes with just a click.
They have the cloud burst feature available where if the on-premises capacity is not sufficient at a point in time, you can run that Spark job on the cloud itself.
The ability to scale processing capacity on demand for batch jobs without impacting other workloads, and support for a growing number of concurrent users and teams accessing the platform simultaneously are significant advantages.
Veritas Alta Data Protection is not expensive, which makes it scalable.
Sometimes the end user is not experienced or does not have all the expertise related to Cloudera specifically, making it very difficult to manage properly
Sometimes a node goes down, but it automatically returns to a healthy state.
Cloudera Data Platform is pretty stable in my experience; there are not any downtime or reliability issues.
We aim to address these issues with a Kubernetes-based platform that will simplify the task of upgrading services.
Cloudera Data Platform should include additional capabilities and features similar to those offered by other data management solutions like Azure and Databricks.
Cloudera Data Platform can be improved by addressing the feasibility of using it in the cloud; there are some complexities around the components used in cloud by Cloudera Data Platform that are not really convenient.
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.
Initially, CDH had a straightforward pricing model based on nodes, but CDP includes factors like processors, cores, terabytes, and drives, making it difficult to calculate costs.
We find Cloudera Data Platform to be cost-effective.
So far, I would say that it is competitive pricing that we have received.
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.
By using the Hadoop File System for distributed storage, we have 1.5 petabytes of physical storage with 500 terabytes of effective storage due to a replication factor of three.
The Ranger integration makes it more flexible and reliable for me by allowing control over data access, specifying who can access at what level, such as table level, masking, or data layer level.
What stands out the most in Cloudera Manager are SDX, which provide centralized control for governance, security, and data lineage across multiple sources.
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 (%) |
|---|---|
| Cloudera Data Platform | 0.6% |
| Veritas Alta Data Protection | 0.5% |
| Other | 98.9% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 7 |
| Large Enterprise | 26 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 1 |
| Large Enterprise | 5 |
Cloudera Data Platform provides efficient data management through features like Hue, Spark, and Impala. It integrates open-source solutions, supports hybrid environments, and enhances data governance while prioritizing security, scalability, and cost-effectiveness.
Cloudera Data Platform addresses data management needs by supporting large-scale analytics, data science, and ETL processes. It facilitates seamless operation with Ambari UI for deployment and monitoring. Users benefit from robust security via Ranger, open-source compatibility, and a flexible eco-system that uses Hadoop components. While it simplifies setup and supports hybrid workloads, improvements in AI, machine learning, stability in Name Node High Availability, and cost management are ongoing needs. Challenges in tool usability, governance maturity, and scalability call for continued innovation, especially in cloud adoption and staying aligned with open-source technologies.
What are the key features of Cloudera Data Platform?Organizations in banking, healthcare, and hospitality leverage Cloudera Data Platform for data management, analytics, and cross-source integration. It handles complex data structures, bolsters AI workloads, and adheres to data compliance standards while integrating with tools like Spark, Kafka, and machine learning models.
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.
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