Because the #AI ecosystem is constantly evolving, we're always working to ensure that customers can seamlessly integrate with the latest cohort of industry-leading companies. In July, we welcomed nine new AI partners that offer product integrations with MongoDB: Enkrypt AI, FriendliAI, HoneyHive, Iguazio (Acquired by McKinsey), Netlify, Render, Superlinked, Twelve Labs, and Upstage. These partnerships leverage MongoDB’s powerful capabilities to unlock the massive potential in AI applications, providing powerful solutions for developers and businesses. Learn more about our exciting new AI partners who share our commitment to drive innovation and help developers build the next generation of AI applications. https://lnkd.in/gyNkr6gN
MongoDB
Software Development
New York, NY 776,987 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
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http://www.mongodb.com
External link for MongoDB
- Industry
- Software Development
- Company size
- 5,001-10,000 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
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At MongoDB, our marketing team creates 'aha' moments that show how our document model and industry-leading developer data platform are transforming customers’ dreams into tomorrow’s groundbreaking technologies. See how Chief Marketing and Strategy Officer Peder Ulander challenges his team to embrace change, “Think Big and Go Far,” and set the standard for what great marketing looks like. 👉 https://lnkd.in/gbKRfEsQ #LifeAtMongoDB
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Learn how to build agentic systems with MongoDB, LangGraph and Chainlit. This live show will cover some of the basics of LangGraph and the uses of MongoDB in Agentic systems as the memory provider. - ✅ MongoDB Atlas account → https://lnkd.in/e7jSwKzx ✅ Get help on our Community Forums → https://lnkd.in/eTFq7neW
Building Agentic System With Memory Using MongoDB
www.linkedin.com
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How does a fast-growing climate tech start-up manage vast datasets that scale by 10-15GB per hour? They choose a database with infinite scalability 📈 . With MongoDB Atlas, Ambee can... 🗺️ Provide accurate and granular geographical insights 🤖 Leverage artificial intelligence in data coverage 🚀 Empower businesses with comprehensive climate data Together, Ambee and MongoDB Atlas are helping shape a greener world through easily accessible environmental data. 🌍 https://lnkd.in/guhzKfmK
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👀 New AI models can now process audio and visual content. Here’s how you can leverage a MongoDB Atlas database to build the ultimate user-tailored AI experience. Pavel Duchovny For a step-by-step guide, visit: https://lnkd.in/gTHfRPt6
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📚 “MongoDB Atlas has been a game-changer in my teaching methods.” Here's an inside look on how Professor Abdussalam Alawini of the University of Illinois Urbana-Champaign uses MongoDB to help shape and teach the developers of the future. ➡️ https://lnkd.in/g2_z5k6z
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In this livestream, Shane McAllister is joined by Hassan El Mghari, Developer Relations at Together.AI. Hassan will go through how to build a production ready RAG app using the PDFToChat.com app that has over 20k users and show us how it works, how he built it, and how he scaled it. - ✅ MongoDB Atlas account → https://lnkd.in/ePGbRAfc ✅ Get help on our Community Forums → https://lnkd.in/e8uX9Xa8
Building production ready RAG apps with Together AI and MongoDB
www.linkedin.com
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Last month, teams across EMEA and APAC participated in Corporate Social Responsibility (CSR) initiatives that gave back to their communities. 🇭🇰 Hong Kong employees partnered with Food Angel by Bo Charity Foundation to combat food waste and hunger 🇬🇧 UK employees participated in the JPMorganChase Challenge to raise money for Women's Aid Federation of England 🇮🇳 India employees worked to combat climate change by planting trees with Grow Billion Trees How did they do? 🍲 2,441 meals packed for people in need 💰 £3,383 raised for services that ensure safety and justice for victims of domestic abuse 🌱 350 saplings planted on behalf of MongoDB (80 planted by employees themselves!) Join our talent community to find out more about #LifeAtMongoDB 👉 https://lnkd.in/g5A3gp5q
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🛫 From Berlin to Bengaluru, and from Seoul to São Paulo, we’re taking the stage to tell you about new innovations in gen AI, edge computing, vector search, and more. There’s still time to register for a #MongoDBlocal at a city near you. https://lnkd.in/gwQJnmA8
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Enterprises handling vast amounts of multi-modal data need a powerful and reliable search system. Using a fashion dataset from Myntra, Kamil Kaczmarek and Marwan Sarieddine from Anyscale walk you through how to upgrade a legacy search system with Anycale and MongoDB. You’ll learn how to build: 📈 A scalable, multi-modal data indexing pipeline that performs complex tasks 🔍 A performant hybrid search backend 🖥️ A simple user interface for interacting with the search backend https://lnkd.in/gC27qb82
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