Service and Support
Many users find Splunk Enterprise Platform's customer service and support effective, citing helpful interaction and quick responses, especially during critical incidents. However, some mention reliance on community resources rather than direct technical assistance and delayed initial responses. While some avoid direct contact, relying on community forums, many appreciate the ticketing system for handling issues. Technical support ratings vary, ranging from moderate satisfaction to high regard.
Deployment
Users found Splunk Enterprise Platform's initial setup varied in complexity. Some experienced a straightforward process thanks to documentation and familiarity, with deployment ranging from minutes to hours. Others encountered a complex setup, often requiring knowledge in clustering, data forwarding, and monitoring. Large-scale deployments could take weeks or months, especially when applied to hybrid cloud environments or due to procedural delays. Experience level and data volume greatly influenced the setup experience.
Scalability
Splunk Enterprise Platform is highly scalable, handling vast data volumes with ease. Users commend its automation and simplicity, with few personnel required for maintenance even in organizations with thousands of users. Most rate its scalability between eight and ten, though some mention performance issues at extreme data volumes. Cloud versions mitigate some challenges faced on-premise. Organizations appreciate Splunk's flexibility, enabling seamless expansion and continuous data availability, even during infrastructure changes or outages.
Stability
Users report that Splunk Enterprise Platform has high stability, with ratings often being eight to ten out of ten. They appreciate its good infrastructure, stable performance from development to production, responsive search capabilities, and support for free-text queries. Although some users note occasional issues in complex environments, most find it highly reliable, capable of handling large datasets efficiently, and offering multiple modes for optimized searches. Maintenance is key for on-premises deployments.
