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SingleStore Kai

SingleStore Kai

Vector searches & 100X faster JSON analytics

SingleStore Kai SingleStore Kai SingleStore Kai
SingleStore Kai
About Details
Name: SingleStore Kai
Submited By: Marcus Macejkovic
Release Date 2 years ago
Website Visit Website
Category Data & Analytics Data Database

Experience split-second response times and elastic scalability with SingleStore. Boost analytics on your apps by 100x with the lightning-fast MongoDB API. Unlock the ability to create embeddings and perform semantic searches using MongoDB APIs on SingleStore.


Johnathan Homenick

Bring vector &amp; generative AI capabilities to collections in JSON + 100x Faster Analytics Try out SingleStore Kai and get $500 in free credits today - <a href="https://www.singlestore.com/cloud-trial/kai/" target="_blank" rel="nofollow noopener noreferrer">https://www.singlestore.com/clou...</a>

10 months ago


Gaylord Buckridge

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.

1 year ago


Floyd Botsford

MongoDB to SingleStore: "You complete me."

1 year ago


Hillard Halvorson

Can't wait to try it out and implement some use cases around it to bring event-based real-time data.

1 year ago


Al Wolf

Wow! Nice

1 year ago


Orrin Batz

Revolutionary product! Finally MongoDB applications can leverage the world-class SingleStore performance with a simple connection string switch!

1 year ago


Nils Auer

Wow! This is mazing project..

1 year ago


Kenneth Corwin

🟣 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 <a href="https://www.singlestore.com/cloud-trial/kai/" target="_blank" rel="nofollow noopener noreferrer">www.singlestore.com/cloud-trial/kai/</a> Some quick FAQ: 1. How fast is it? Our benchmarks show many aggregations are 100x to 1000x faster! Some more at <a href="https://www.singlestore.com/blog/singlestore-kai-real-time-analytics-benchmarks" target="_blank" rel="nofollow noopener noreferrer">singlestore-kai-real-time-analytics-benchmarks</a> 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 <a href="https://www.singlestore.com/blog/introducing-singlestore-kai-for-mongodb" target="_blank" rel="nofollow noopener noreferrer">introducing-singlestore-kai-for-mongodb</a> for more details! 3. How can I test it out? Go here for a trial account and give it a try at <a href="https://www.singlestore.com/cloud-trial/kai/" target="_blank" rel="nofollow noopener noreferrer">singlestore.com/cloud-trial/kai/</a> I'm really excited to launch this - thanks for reading! Regards, Jason

1 year ago


Jarrell Homenick

Congratulations!!!

1 year ago


Franz Bauch

I'm really proud of what our whole team has done to speed up analytics and support vector search via the MongoAPI!

1 year ago


Paul Kshlerin

This sounds like a game-changer for anyone looking to speed up their analytics processes. Congrats for the launch 🚀

1 year ago


Johnpaul Crona

Nice project

1 year ago


Makenna Eichmann

100x faster analytics and vector functionality for AI on JSON data!?! This is a game-changer for MongoDB applications! Wow!

1 year ago


Wiley Lubowitz

Amzing

1 year ago


Hillard Halvorson

Interesting to see Mongodb brought back to life. Will keep an eye out on this :)

1 year ago