Service and Support
ThoughtSpot's customer service is generally responsive and helpful, with ratings mostly between six and eight out of ten. While some users find the technical support proactive and knowledgeable, others encounter delays and less robust resources. The team provides quick responses, yet sometimes falls short on helpfulness. Users appreciate having dedicated contacts and ticket submission options, though feature requests can be lengthy. Some experience issues with insufficient and untimely assistance, impacting satisfaction.
Deployment
Initial setup for ThoughtSpot is generally straightforward, often supported by customer service teams. Some found data integration a challenge, while others described setup as easy with minimal learning. Businesses, from small to large, manage deployment with small teams. Setup involves data compatibility and maintenance roles. Users sometimes face complexity with features like TML. Others noted ThoughtSpot's compatibility with databases and the simplicity of cloud or on-premise setups.
Scalability
ThoughtSpot is considered highly scalable with automatic scaling capabilities through partnerships like Snowflake. Many organizations successfully support hundreds or thousands of users without significant issues. Complexity in roles and security management is a challenge for larger user bases. Users highlight flexibility and opportunities for future enhancements. Some note that while scalable, governance may become complicated with extensive use. ThoughtSpot's scalability is influenced by contract terms and is rated favorably compared to other tools.
Stability
ThoughtSpot is generally perceived as stable. Users report minimal outages or issues, highlighting reliable performance, smooth upgrades, and speedy data access. Some challenges exist, such as those with indexing delays, resizing difficulties, and feature workarounds causing performance hits. ThoughtSpot excels with large datasets, outperforming tools like Power BI. Users occasionally encounter problems if connected databases have issues, but feedback is largely positive, with a stability rating often reaching nine out of ten.