MongoDB
MongoDB is a document database with the scalability and flexibility that you want with the querying and indexing that you need
Features
- NoSQL database
- Relational Database
MongoDB News & Activities
Recent News
- Fla published news article about FerretDB
FerretDB Cloud launches with MongoDB compatibility and feature parityFerretDB has introduced FerretDB Cloud, a fully managed, MongoDB-compatible database service built ...
- POX published news article about MongoDB
MongoDB 8.0 released: Major updates for Atlas and on-premises deploymentsMongoDB has announced the general availability of version 8.0, marking a significant update for bot...
- POX published news article about MongoDB
MongoDB investigating security breach exposing account metadata and contact informationMongoDB, the popular database platform, has recently issued a warning to its customers regarding a ...
Recent activities
- fanpino commented on MongoDB
We run MongoDB as the shared database across most of our products (helpdesk, mobile-repair-shop management, a couple of internal tools). The schema flexibility is genuinely useful early on when the data model is still changing every week, and Motor's async driver for Python has been solid under load. The thing that bit us once: without discipline on indexing, some of our aggregation pipelines got slow as collections grew - worth setting up compound indexes early rather than after the fact....
- fanpino liked MongoDB
- ssiroos liked MongoDB
- techietribe liked MongoDB
- mqdlou liked MongoDB
dsecurity added MongoDB as alternative to Intent Bus
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What is MongoDB?
MongoDB is a document database with the scalability and flexibility that you want with the querying and indexing that you need
MongoDB stores data in flexible, JSON-like documents, meaning fields can vary from document to document and data structure can be changed over time The document model maps to the objects in your application code, making data easy to work with Ad hoc queries, indexing, and real time aggregation provide powerful ways to access and analyze your data MongoDB is a distributed database at its core, so high availability, horizontal scaling, and geographic distribution are built in and easy to use
MongoDB is free to use. Versions released prior to October 16, 2018 are published under the AGPL. All versions released after October 16, 2018, including patch fixes for prior versions, are published under the Server Side Public License (SSPL) v1.
MongoDB Videos
MongoDB information
Developed by
MongoDB Licensing
Source Available (SSPL-1.0) and Freemium product.Pricing
free version with limited functionality.Rating
Average rating of 3.6Alternatives
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Comments and Reviews
Do I give it 5 stars for being awesome OR give it 1 star for being the key to destroying our privacy forever :/
I'll be fair and grade the product since it works great. However, for reference, I'm referring to the use case of NoSQL for capturing data related to internet adverting and other marketing data as being the driving factor for NoSQL at the start. One of those things, this is going to make everyone's life so much easier and then 10 years later you realize you created the tool that destroyed privacy :/
MongoDB though, easy to use and can handle millions of transactions easily, I really can't complain and it makes running reports a lot easier.
Not an inherent vulnerability, but MongoDB admins should ensure they're avoiding common pitfalls by, among other things, blocking access to port 27017 or binding local IP addresses to limit access to servers. Thousands of MongoDBs have been hijacked by hackers recently:
http://arstechnica.com/security/2017/01/more-than-10000-online-databases-taken-hostage-by-ransomware-attackers/ and https://www.mongodb.com/blog/post/how-to-avoid-a-malicious-attack-that-ransoms-your-data
We run MongoDB as the shared database across most of our products (helpdesk, mobile-repair-shop management, a couple of internal tools). The schema flexibility is genuinely useful early on when the data model is still changing every week, and Motor's async driver for Python has been solid under load. The thing that bit us once: without discipline on indexing, some of our aggregation pipelines got slow as collections grew - worth setting up compound indexes early rather than after the fact. Still our default choice for anything that isn't obviously relational.
MongoDB is our go to choice of database for many of our projects given its flexibility and open source nature which allows us to quickly spin up projects for testing on local. For applications in production we leverage MongoDB Atlas and I find their pricing to be very reasonable. Doing the cost analysis of spinning up your own servers to host a MongoDB instance versus just using Atlas, made Atlas an obvious choice. Finally I really like the investment MongoDB is making into their vector capabilities for AI.
MongoDB has not been open source ever since it switched to the Server Side Public License in 2018. A better option is
FerretDB which offers MongoDB's query features on the much more reliable 
PostgreSQL.