MongoDB is a commonly used NoSQL database for storing vast amounts of unstructured data in a document-oriented format, but implementing fast search functionality requires a separate software layer like Elasticsearch. Many organizations rely on both databases due to their complementary strengths, with MongoDB excelling in scalability and Elasticsearch in search-related operations. Integrating the two systems can be complex and difficult, with various methods available including using the MongoDB Connector, LogStash, or custom scripts. However, an alternative solution is SingleStore Kai, which provides a more streamlined approach by targeting common drawbacks of apps built on MongoDB, offering speeds up to 900x faster than MongoDB for both OLAP and OLTP workloads, full-text search over standard text, and JSON data, with scalability and cloud compatibility.