Vaibhave S

I had the opportunity to use SingleStoreDB Kai for analyzing my research data stored as JSON in MongoDB, and it has been a powerful tool. Getting started with Kai was easy, especially if you're already familiar with database queries. The learning curve was minimal, allowing me to quickly work with my data. My research data comprises professional introductions summarized in JSON format stored in MongoDB, and Kai seamlessly integrates with MongoDB, offering flexibility to use it independently or alongside MongoDB. Kai proved to be versatile, excelling in both analytics and transactions. I performed various filtrations on my dataset, which contained around 3 million rows, and the performance was significantly better than using native MongoDB queries. The preservation of JSON data structure in Kai was crucial for my research project, ensuring data integrity and accurate representation. One of the standout features of Kai is its lightning-fast processing for real-time and point-in-time analytics. This advantage allowed me to perform analytics with remarkable speed. I was also impressed with the inclusion of vector and semantic search capabilities, which opened up new possibilities for advanced searches and deeper insights. The only nitpick is that the tutorial UI could be improved. The window size is too small, which causes the sample queries to collapse. However, this doesn't detract from the overall positive experience. I'm excited to continue using SingleStoreDB Kai for my research and look forward to leveraging its capabilities further.