Service and Support
Cloudian HyperStore customer service and support is described as excellent with knowledgeable and helpful staff. While initial support may include some repetitive checks, second-line support provides knowledgeable assistance. Support is available upon request, and options exist for varying needs. Although escalation can sometimes be challenging, and resolving complex issues might take time, interactions are usually of high quality. Customers appreciated responsive and available support, rating Cloudian HyperStore highly for its effective service assistance.
Deployment
Many found the initial setup of Cloudian HyperStore straightforward, aided by simple scripts and excellent support. Some teams required external assistance, with a full deployment taking around a month due to data migration. In contrast, others automated tasks, completing setup in a day. Although the worldwide network configuration posed challenges, professional services simplified it. Users appreciated Cloudian's competitive pricing, high-quality installation scripts, and prompt support, highlighting the ease of integration with existing systems.
Scalability
Cloudian HyperStore is recognized for high scalability, supporting data sharing across locations and applications, with flexible configurations and independent scaling options. Users report seamless capacity increases, and node additions meet growing storage demands efficiently, maintaining zero downtime and strong node replication. They believe it suits organizational backup needs, offering stability without immediate expansion plans. Users rate scalability between eight and eight point five, citing excellent performance across diverse environments with substantial existing infrastructure.
Stability
Users express mixed opinions about Cloudian HyperStore's stability. Many find it highly stable, experiencing no downtime or issues during upgrades. Some rate its reliability as near perfect. However, there are occasional reports of instability, requiring assistance from support. Most users still consider it dependable and robust, although some encountered problems needing training adjustments to optimize performance. Despite mixed experiences, the majority appear satisfied with its consistent performance.