Our focus on Speed

Speed is emphasized as a crucial feature in data processing and analytics, as it not only enhances the efficiency of tasks but also fosters a sense of progress and motivation. The ability to iterate quickly reduces the cost and complexity of experimentation, leading to better insights and team motivation. Google exemplifies this by defining speed as a feature, where the immediacy of search promotes frequent usage and exploration. Tinybird adopts a similar philosophy, highlighting the importance of rapid data operations to uncover insights from large datasets. They demonstrate this with their Query API, capable of executing basic analytical operations on extensive data within milliseconds, showcasing their commitment to fast and efficient data processing.