1. The ability to combine machine learning with rule-based logic in one place this really helps in building practical, real-world decision systems. 2. Scalability - We've been able to handle large datasets and real-time use cases without major performance issues. 3. Flexibility - It's not rigid; you can tailor decision flows and models based on business needs. 4. Strong integration capabilities with modern data stacks (cloud, APIs, data warehouses).
May 4, 2026
Cost was a major factor when it switched from capital to expense. The sales team seems to have a hard time working with resellers.
June 15, 2026