Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics.
Returns depend on the application you deploy and the amount of benefits you are getting, which depends on how many applications you are deploying, what are the sorts of applications, and what are the requirements.
I would rate them eight if 10 was the best and one was the worst.
The escalation from first, second to third tier is sometimes very long-lasting, but the resolve rate is quite high.
I would rate their technical support a 10 out of 10.
Most cases are handled perfectly.
Integration with other vendors is also seamless.
In order to scale Veeam Data Platform, we have to pay a lot more money.
There are no issues with stability in Veeam Data Platform.
Observability and monitoring are areas that could be enhanced.
Reducing it by 20% would make it more accessible to a broader range of customers.
OpenStack is something Veeam Data Platform doesn't support, and they haven't indicated that they will support it in the future.
Compared to IBM, Veeam Data Platform is simpler but brings some challenges with automation in backup and Oracle backup configuration.
I don't consider the price expensive given its importance.
Veeam Data Platform is more expensive than OpenStack because we pay for it in US dollars, while we pay for OpenStack in Egyptian pounds.
A reduction of 20% in the current cost would make the solution more attractive to clients.
These features are important due to scalability and resiliency.
The platform is user-friendly, comprehensive, and compatible with numerous market solutions, including virtualization and bare metal servers.
The most important aspect of this platform is data security with immutable data in the storage.
The most valuable features in Veeam Data Platform are data resilience and data mobility.
| Product | Market Share (%) |
|---|---|
| Apache Kafka on Confluent Cloud | 0.0% |
| Apache Flink | 14.6% |
| Databricks | 13.1% |
| Other | 72.3% |
| Product | Market Share (%) |
|---|---|
| Veeam Data Platform | 11.9% |
| Commvault Cloud | 6.1% |
| Rubrik | 6.0% |
| Other | 76.0% |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 3 |
| Large Enterprise | 6 |
| Company Size | Count |
|---|---|
| Small Business | 216 |
| Midsize Enterprise | 99 |
| Large Enterprise | 138 |
Apache Kafka on Confluent Cloud provides real-time data streaming with seamless integration, enhanced scalability, and efficient data processing, recognized for its real-time architecture, ease of use, and reliable multi-cloud operations while effectively managing large data volumes.
Apache Kafka on Confluent Cloud is designed to handle large-scale data operations across different cloud environments. It supports real-time data streaming, crucial for applications in transaction processing, change data capture, microservices, and enterprise data movement. Users benefit from features like schema registry and error handling, which ensure efficient and reliable operations. While the platform offers extensive connector support and reduced maintenance, there are areas requiring improvement, including better data analysis features, PyTRAN CDC integration, and cost-effective access to premium connectors. Migrating with Kubernetes and managing message states are areas for development as well. Despite these challenges, it remains a robust option for organizations seeking to distribute data effectively for analytics and real-time systems across industries like retail and finance.
What are the key features of Apache Kafka on Confluent Cloud?In industries like retail and finance, Apache Kafka on Confluent Cloud is implemented to manage real-time location tracking, event-driven systems, and enterprise-level data distribution. It aids in operations that require robust data streaming, such as CDC, log processing, and analytics data distribution, providing a significant edge in data management and operational efficiency.
Veeam Data Platform is designed for modern data management, providing secure backups, intelligent data insights, and resilience. It ensures data is protected, recoverable, and manageable across complex environments, supporting business continuity effectively.
Veeam Data Platform stands out with its robust capabilities in data protection, orchestrated recovery, and efficient management. It offers a simple interface while ensuring data security and availability, which is critical for businesses. The platform's compatibility with virtual machines, databases, and applications across VMware, Hyper-V, and cloud environments makes it a versatile choice for backup and disaster recovery strategies. Users gain confidence from its performance, from secure backups to facilitating effective infrastructure monitoring.
What are the key features of Veeam Data Platform?Veeam Data Platform is widely implemented by industries needing robust disaster recovery plans and data management solutions. It is particularly valuable in environments utilizing hybrid cloud solutions, protecting mission-critical workloads, and ensuring business continuity. Businesses leverage its capabilities to safeguard data integrity and facilitate long-term retention through efficient infrastructure management.
We monitor all Streaming Analytics 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.
