MongoDB database was created by 10gen, a company founded in 2007 and specializes in providing open source database solutions. MongoDB was originally an internal database for its Content Management System (CMS) developed by 10gen, and later released as a standalone product in 2009. 10gen was reorganized into MongoDB and MongoDB Atlas in 2018, which are focused on the development and hosting cloud services of MongoDB databases respectively. MongoDB offers two licensing options: a free and open source community version and a business-friendly enterprise version.
The creator of MongoDB database
The MongoDB database was created by 10gen .
Company Profile
Founded in 2007, 10gen is a company that provides open source database solutions. The company was founded by computer scientists Dwight Merriman and Eliot Horowitz.
The History of MongoDB
The MongoDB project was originally an internal database developed by 10gen for its content management system (CMS). MongoDB became increasingly popular over time, and was released as a standalone product in 2009.
10gen company restructuring
In 2018, 10gen reorganized two independent companies: MongoDB and MongoDB Atlas. MongoDB focuses on the development and licensing of MongoDB databases, while MongoDB Atlas provides MongoDB managed cloud services.
MongoDB license
MongoDB database has two licensing options:
- Community Edition (Open Source) : Free to use, but not for commercial use.
- Enterprise Edition : Provides additional features and support for commercial use.
The above is the detailed content of Whose mongodb database is. For more information, please follow other related articles on the PHP Chinese website!

MongoDB is a document-based NoSQL database that uses BSON format to store data, suitable for processing complex and unstructured data. 1) Its document model is flexible and suitable for frequently changing data structures. 2) MongoDB uses WiredTiger storage engine and query optimizer to support efficient data operations and queries. 3) Basic operations include inserting, querying, updating and deleting documents. 4) Advanced usage includes using an aggregation framework for complex data analysis. 5) Common errors include connection problems, query performance problems, and data consistency problems. 6) Performance optimization and best practices include index optimization, data modeling, sharding, caching, monitoring and tuning.

MongoDB is suitable for scenarios that require flexible data models and high scalability, while relational databases are more suitable for applications that complex queries and transaction processing. 1) MongoDB's document model adapts to the rapid iterative modern application development. 2) Relational databases support complex queries and financial systems through table structure and SQL. 3) MongoDB achieves horizontal scaling through sharding, which is suitable for large-scale data processing. 4) Relational databases rely on vertical expansion and are suitable for scenarios where queries and indexes need to be optimized.

MongoDB performs excellent in performance and scalability, suitable for high scalability and flexibility requirements; Oracle performs excellent in requiring strict transaction control and complex queries. 1.MongoDB achieves high scalability through sharding technology, suitable for large-scale data and high concurrency scenarios. 2. Oracle relies on optimizers and parallel processing to improve performance, suitable for structured data and transaction control needs.

MongoDB is suitable for handling large-scale unstructured data, and Oracle is suitable for enterprise-level applications that require transaction consistency. 1.MongoDB provides flexibility and high performance, suitable for processing user behavior data. 2. Oracle is known for its stability and powerful functions and is suitable for financial systems. 3.MongoDB uses document models, and Oracle uses relational models. 4.MongoDB is suitable for social media applications, while Oracle is suitable for enterprise-level applications.

MongoDB's scalability and performance considerations include horizontal scaling, vertical scaling, and performance optimization. 1. Horizontal expansion is achieved through sharding technology to improve system capacity. 2. Vertical expansion improves performance by increasing hardware resources. 3. Performance optimization is achieved through rational design of indexes and optimized query strategies.

MongoDB is a NoSQL database because of its flexibility and scalability are very important in modern data management. It uses document storage, is suitable for processing large-scale, variable data, and provides powerful query and indexing capabilities.

You can use the following methods to delete documents in MongoDB: 1. The $in operator specifies the list of documents to be deleted; 2. The regular expression matches documents that meet the criteria; 3. The $exists operator deletes documents with the specified fields; 4. The find() and remove() methods first get and then delete the document. Please note that these operations cannot use transactions and may delete all matching documents, so be careful when using them.

To set up a MongoDB database, you can use the command line (use and db.createCollection()) or the mongo shell (mongo, use and db.createCollection()). Other setting options include viewing database (show dbs), viewing collections (show collections), deleting database (db.dropDatabase()), deleting collections (db.<collection_name>.drop()), inserting documents (db.<collecti


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Atom editor mac version download
The most popular open source editor

SublimeText3 Linux new version
SublimeText3 Linux latest version

SublimeText3 Mac version
God-level code editing software (SublimeText3)

SublimeText3 English version
Recommended: Win version, supports code prompts!

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.