SingleStore Kai™

🟣 Greetings Product Hunters! 🟣 SingleStore Kai for MongoDB enables apps written for MongoDB to work against SingleStoreDB - just switch your connection string! So what is SingleStoreDB? 🤔 Here are three things you should know: 1. SingleStoreDB stores documents in an optimized data structure that combines the best of row-store and column-store 🥞 and compiles queries using state-of-the-art LLVM to optimized machine code 🔥 2. It's really, really fast at large-scale aggregations and analytics 🚀 3. SingleStoreDB supports accelerated SIMD vector operations for AI-driven text and image queries ✨ Now all of these capabilities are available to MongoDB applications with no code changes required! Try it today at www.singlestore.com/cloud-trial/kai/ Some quick FAQ: 1. How fast is it? Our benchmarks show many aggregations are 100x to 1000x faster! Some more at singlestore-kai-real-time-analytics-benchmarks 2. How can developers use it? SingleStoreDB can replace or augment an existing MongoDB compatible database (this includes MongoDB, AWS DocumentDB, and Azure CosmosDB with MongoDB API). See introducing-singlestore-kai-for-mongodb for more details! 3. How can I test it out? Go here for a trial account and give it a try at singlestore.com/cloud-trial/kai/ I'm really excited to launch this - thanks for reading! Regards, Jason

The fact that you can do vector functions for semantic search on JSON is phenomenal. This means you can add Gen AI features with LLM on your existing Mongo apps.

Thanks everyone for your support so far! We believe this is the *first time* MongoDB apps will feel the speed of SingleStoreDB. You really get the scale of a distributed NoSQL database and the phenomenal analytics of an OLAP database. Icing on the cake is that SingleStoreDB can natively support vector functions that allow companies to build Generative AI applications!