MongoDB

MongoDB

MongoDB Atlas Database | Multi-Cloud Database Service | MongoDB
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74 followers

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Testimonials from top launches

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CreateMyBanner
özer gökalpsezer
özer gökalpsezer used this to build
CreateMyBannerCreateMyBanner
(122 points)
MongoDB Atlas provides a fully managed, scalable database service with built-in automation, making it easier to use and maintain compared to other databases.
Vouz
Zade Scoxp
Zade Scoxp used this to build
VouzVouz
(226 points)
It stores all the data of the locker and files securely
No More Copyright
Hamza Afzal Butt used this to build
No More CopyrightNo More Copyright
(631 points)
Big thanks to MongoDB for handling our data like a pro! Your reliable and secure database solutions enable us to protect creative rights with confidence and precision
Quorini
Sergey Grizzly
Sergey Grizzly used this to build
QuoriniQuorini
(804 points)
MongoDB provides the document data model maps to how you think and code. Break out of rigid, tabular data structures with flexible documents that map directly to objects in your code. Embed related data into a single document to increase performance and minimize computational cost.
Shambhabi Raha used this to build
fieldmobi.ai
(553 points)
We use MongoDB for customer-specific data storage and have been using it for a while. So far it's been working great!
Diaflow
Jonathan Viet Pham
Jonathan Viet Pham used this to build
Diaflow
(489 points)
We chose MongoDB Atlas’s vector database for its powerful vector search capabilities, combined with the flexibility of MongoDB’s document model. It lets us handle both unstructured data and high-dimensional vector embeddings in one unified platform, which made it stand out. We explored Pinecone and Weaviate, but MongoDB Atlas won us over with its robust data management features and native integration with our existing database infrastructure. Tip: Use MongoDB Atlas’s built-in tools for real-time analytics and indexing to boost your vector search performance.
Website Leaderboard
Matthew Dvertola
Matthew Dvertola used this to build
Website LeaderboardWebsite Leaderboard
(194 points)
Fast simple setup, performant and feature rich. One of the only truly feature complete databases that also supports AI searching capabilities with vector embeddings.
DataBackfill
Saritta Hines
Saritta Hines used this to build
DataBackfillDataBackfill
(88 points)
MongoDB Atlas for powerful database management!
QuitSugar: Track & Cut Sugar
Tigran Muradyan
Tigran Muradyan used this to build
QuitSugarQuitSugar: Track & Cut Sugar
(139 points)
MongoDB's document-based model is perfect for handling dynamic data structures like health logs and user preferences. It provides flexibility in data storage without the constraints of rigid schemas seen in relational databases like MySQL. For Quit Sugar, this allowed seamless integration of user-specific data, such as sugar intake, hydration levels, and custom challenges. MongoDB’s scalability ensures the app remains performant even as the user base grows.
cmd.haus
Adam
Adam used this to build
cmd.haus - Betacmd.haus
(97 points)
One of the engines available in cmd.haus :)
edCode
Andrew M.
Andrew M. used this to build
edCodeedCode
(135 points)
MongoDB is our primary choice of database due to its robust design and quick access times, key for our responsive real-time leaderboard.
Silo Repo
Dan Ringness
Dan Ringness used this to build
SiloSilo Repo
(52 points)
Simple, fast, easy to use, not much to ask for in a DB.