Service and Support
Customers have mixed experiences with OpenText ALM / Quality Center's support. Some praise its quick responses, helpful staff, and efficient ticket resolution. Others note delays, lack of knowledge, and difficulties with the support process. Availability and quality vary depending on support engineer expertise and location. Some find local support effective, while others face challenges with remote assistance. Users appreciate the customer success manager role in escalating issues and coordinating solutions quickly.
Deployment
Some found OpenText ALM / Quality Center's initial setup complex, especially with installations requiring admin rights and infrastructure configurations. Several faced issues migrating data and integrating it. However, others described the process as straightforward, especially with help from support teams and proper planning. SaaS or cloud-based users noted a simpler setup. Yet, technical expertise was essential, and several needed external assistance. Deployment time varied widely depending on specific needs and projects.
Scalability
OpenText ALM / Quality Center exhibits mixed scalability performance. Users have experienced some issues under heavy loads, while others find it effective with additional licenses. It scales well for varied user bases, from small to large enterprises. While licensing can be expensive, the system supports thousands of users and numerous projects. Users appreciate its scalability, though some suggest room for improvement, especially with high availability and cost-effective licensing models.
Stability
OpenText ALM / Quality Center is generally stable with minor issues. Users report occasional performance issues, especially after upgrades. Planned outages are communicated in advance. Some newer versions introduce bugs, but these are usually resolved quickly. Reports of crashes and glitches are rare, mostly tied to older versions or setup configurations. Users appreciate its reliability, with high availability and minimal downtime, though some mention memory and scalability concerns. Stability ratings are mostly high, typically between eight and nine out of ten.