SingleStore has impacted my organization positively by enabling us to run low-latency analytics and model-driven use cases at scale, which is quite difficult for OLAP and OLTP databases alone.
SingleStore offers exceptional speed, distributing workloads across multiple nodes to process large data volumes with in-memory storage and robust failover. It enables low-latency analytics and model-driven use cases. While it supports MySQL, there is a learning curve due to documentation and training gaps. It's better for data aggregation than direct queries. Issues with key distribution and lack of parameters in Azure pipelines, plus integration with DataDog, require attention.
