Learn how Novo Nordisk is revolutionizing drug approvals using MongoDB Atlas and Amazon Bedrock! They have been able to reduce CSR production time from 12 weeks to just 10 minutes using their #AI-powered platform, NovoScribe, boosting efficiency and patient care. Read more: https://lnkd.in/gZkxf5XF
MongoDB
Software Development
New York, NY 753,745 followers
A developer data platform for developers to do their best work. #LoveYourDevelopers
About us
Headquartered in New York, MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Built by developers, for developers, our developer data platform is a database with an integrated set of related services that allow development teams to address the growing requirements for today's wide variety of modern applications, all in a unified and consistent user experience. MongoDB has tens of thousands of customers in over 100 countries. The MongoDB database platform has been downloaded hundreds of millions of times since 2007, and there have been millions of builders trained through MongoDB University courses. To learn more, visit mongodb.com.
- Website
-
http://www.mongodb.com
External link for MongoDB
- Industry
- Software Development
- Company size
- 1,001-5,000 employees
- Headquarters
- New York, NY
- Type
- Public Company
- Founded
- 2007
- Specialties
- open source, databases, mongodb, and software developer
Products
MongoDB
NoSQL Database Software
MongoDB’s developer data platform integrates all of the data services you need to build modern applications in a unified developer experience. It handles transactional workloads, app-driven analytics, full-text search, AI-enhanced experiences, stream data processing, and more, all while reducing data infrastructure sprawl and complexity.
Locations
Employees at MongoDB
Updates
-
In this week's livestream, Shane McAllister is joined by Nuri Halperin from Plus N Consulting. In this session, we'll delve into cutting-edge AI technologies and explore key concepts such as Retrieval Augmented Generation (RAG), which allows machines to provide expert-like responses using your data and language. We'll discuss how AI models are built, focusing on tokenization, embedding, and vector comparisons. Learn about the implementation of vector search techniques like K-Nearest Neighbor (KNN) and Approximate-Nearest Neighbor (ANN) to enhance data retrieval efficiency. Join us to see a live demonstration of these technologies in action, showcasing how they can provide insightful restaurant recommendations based on user queries. Mark your calendars for what will be an engaging and informative session that bridges the gap between advanced AI technology and their practical applications. - ✅ Sign-up for a free cluster at → https://lnkd.in/ezB3Ks7Y ✅ Get help on our Community Forums → https://lnkd.in/eSU5VsTV
Smart Restaurant Choices with MongoDB Atlas and Vertex AI #MongoDBTV
www.linkedin.com
-
Calling all PHP developers! Join our hands-on workshop to learn how to use Symfony and MongoDB in building a fully functional web application. Get started today: https://lnkd.in/gTZxtd9S
-
Atlas Search Playground is a new, fast, and frictionless way to experiment with creating indexes and crafting search queries on your own data—all in a single, user-friendly interface with no account setup needed. 💻 Jump in and start building now: https://lnkd.in/gVF94759
-
"My parents pushed me towards pursuing a career in medicine at a young age and invested in my education as a pre-med student. When they learned that I was shifting my career toward tech sales as an adult, it was difficult for them to digest and understand." As we round out Asian American and Pacific Islander Heritage Month, Adam shares his journey into tech sales as a first-generation Asian American and the MongoDB values that shine throughout his day-to-day. #LifeAtMongoDB Read Adam's full story 👉 https://lnkd.in/gWZvDVG6
-
In this episode, we explore the groundbreaking collaborative tool, Multiplayer, with co-founders Steph Johnson & Thomas Johnson. Multiplayer, a NYC-based startup, recently emerged from stealth mode with $3M in funding led by Bowery Capital and participation from Okapi Venture Capital, Mitch Wainer, and Edith Harbaugh. Founded in 2023 by Steph and Tom Johnson, Multiplayer is transforming how teams work on distributed software by integrating all elements of backend development into a single, collaborative platform. - ✅ https://lnkd.in/ddhHqRxv ✅ https://lnkd.in/da6eB9tf
Steph Johnson and Tom Johnson on Multiplayer #MongoDBTV
www.linkedin.com
-
Discover our NEW Chatbot Framework Learning Byte! Learn the differences between #LLMs and #RAG, and see how MongoDB's Atlas Vector Search ensures precise, context-aware responses. Register now! 👉 https://lnkd.in/gQWSUWGA
-
✅ Sign-up for a free cluster at → https://lnkd.in/e7Mvrygx ✅ Get help on our Community Forums → https://lnkd.in/e3qHDJq5
Deploying GenAI Apps at scale : Engineering strategies #MongoDBTV
www.linkedin.com
-
How do you build the foundation for enterprise #genAI? It starts with transforming legacy content systems. Learn how enChoice®, Inc. is doing just that with MongoDB in this interview with Bob Messegee at The Stack 👇
From building houses to building software -- and rethinking Enterprise Content Management (ECM). enChoice®, Inc.'s Bob Messegee sat down with The Stack's Edward Targett to talk #unstructured data and building a new SaaS on MongoDB #Atlas. Delivered in partnership with #MongoDB. Don't miss the full interview 👉 https://lnkd.in/ecNk7-r8
-
This Mental Health Awareness Month, we're happy to announce the launch of Mindful at MongoDB. 🧠 Our new affinity group was sparked by employees with a passion for mental wellbeing and reiterates MongoDB's commitment to a culture where wellness is prioritized. #LifeAtMongoDB Hear from our Mindful leads in the video below, and visit our website to learn more about Diversity & Inclusion initiatives at MongoDB 👉 https://lnkd.in/gCNupQHv
Similar pages
Browse jobs
Stock
MDB
NASDAQ
20 minutes delay
$236.06
-73.94 (-23.852%)
- Open
- 237.07
- Low
- 225.25
- High
- 241
Data from Refinitiv
See more info on