Service and Support
NetApp ONTAP customer support demonstrates mixed feedback. Some describe their service as prompt, knowledgeable, and excellent, offering quick issue resolution. However, others report difficulty reaching specialized personnel, slow responses, and inefficiencies at the first support level. Some users appreciate the effective escalation process for critical issues and 24/7 availability. Despite occasional delays and communication issues, NetApp ONTAP generally receives praise for its supportive, responsive team and useful documentation, earning it a high rating from many.
Deployment
Many users found NetApp ONTAP's initial setup straightforward, especially with assistance from third parties or NetApp's team. A few users noted complexity, particularly with customizations or data migrations, but emphasized improvement over time. Tools like Active IQ and Ansible playbooks were highlighted as beneficial. Some encountered challenges due to legacy systems or architectural complexities. Expertise and prior experience with the system often contributed to an easier setup process.
Scalability
NetApp ONTAP is highly scalable, allowing for easy expansion by adding nodes. Users find it flexible with options for both scale-up and scale-out. Clustering facilitates workload distribution and reduces disruptions. While ONTAP accommodates large infrastructures, performance issues may arise in certain environments. Generally, it supports large-scale operations efficiently, though some users note limitations in specific configurations. It integrates well with existing landscapes, enhancing elasticity and operational efficiency across various sectors.
Stability
NetApp ONTAP is praised for excellent stability and reliability, with users rarely encountering major issues or downtime. While some experience minor bugs or random crashes, especially in new versions, others highlight its robustness, seamless updates, and continuous uptime. It's commonly described as rock solid, with powerful failover mechanisms and effective handling of hardware failures. Users rate stability highly, often giving it nine or ten out of ten. Stability varies with use cases and setup configurations.