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.
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!
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.
🟣 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
Can't wait to try it out and implement some use cases around it to bring event-based real-time data.
I'm really proud of what our whole team has done to speed up analytics and support vector search via the MongoAPI!
Bring vector & generative AI capabilities to collections in JSON + 100x Faster Analytics
Try out SingleStore Kai and get $500 in free credits today
- https://www.singlestore.com/clou...
This sounds like a game-changer for anyone looking to speed up their analytics processes. Congrats for the launch 🚀
100x faster analytics and vector functionality for AI on JSON data!?! This is a game-changer for MongoDB applications! Wow!
Revolutionary product! Finally MongoDB applications can leverage the world-class SingleStore performance with a simple connection string switch!
Woww !!! SingleStore Kai for MongoDB looks awesome. 👏🎉
Loved the speed and efficiency of analytical queries on SingleStore Kai .
Cheers to the SingleStore team on the launch of Kai for MongoDB!
The fusion of vector searches & high-speed JSON analytics looks game-changing.
Exciting times ahead with faster and smarter apps!
About SingleStore Kai on Product Hunt
“Vector searches & 100X faster JSON analytics”
SingleStore Kai launched on Product Hunt on May 18th, 2023 and earned 122 upvotes and 53 comments, placing #8 on the daily leaderboard. 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.
SingleStore Kai was featured in API (98.1k followers), Artificial Intelligence (466.8k followers), Data & Analytics (5.6k followers), Data (2.3k followers) and Database (2.1k followers) on Product Hunt. Together, these topics include over 103.2k products, making this a competitive space to launch in.
Who hunted SingleStore Kai?
SingleStore Kai was hunted by Abhinav Srivastava. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how SingleStore Kai stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Abhinav Srivastava