Service and Support
IBM Business Automation Workflow support varies in quality, with some finding it quick once prepared, but others experience delays. While responses are generally timely, users sometimes face slow resolutions requiring multiple escalations. Some users find customer service satisfactory and professional, while others note frustration and duplication of efforts. Service is adequate for some, rarely needed by others, and enhanced by consultants for certain users. Time zone differences occasionally cause delay issues.
Deployment
IBM Business Automation Workflow's setup varies in complexity. Some find it straightforward, especially with containerization and low-code features, enhancing ease with subsequent updates. However, others experience a complex process requiring specialist knowledge and extensive time investment, particularly for large-scale implementations. Container-based environments and DevOps streamline deployments, although integration with open-source platforms may introduce complexity. Experience largely depends on the user's technical background and specific requirements for deployment and configuration.
Scalability
IBM Business Automation Workflow exhibits strong scalability, allowing organizations to handle millions of transactions daily. Its effectiveness depends on how it's implemented, yet no significant challenges have been encountered. Companies with thousands of users report seamless expansion capabilities, whether using on-premises or cloud versions. While customization may pose some limits, it remains manageable for enterprise-level operations. Auto-scaling is in place, allowing effortless scaling and license management within various departments.
Stability
IBM Business Automation Workflow exhibits significant stability. Users highlight its reliable performance, attributing issues often to external factors like database monitoring. Stability improves over time and is strong when best practices are followed. While initial challenges are noted, consistent usage and proper maintenance enhance dependability. Most users experience minimal instability, rating stability highly. Some mention the need for tuning, consistent deployment practices, and improvements over time to achieve optimal stability and uninterrupted operation.
