RDBMS
RDBMS stands for Relational Database Management System. It stores data in entity form as tables. It provides multiple layers of information security. Each table may or may not have a primary key (used to uniquely identify records in the table) and foreign keys (used to identify the relationship between the two tables). RDBMS uses SQL language to query the database. Examples of popular RDBMS are oracle, sql server, mysql, etc.
MongoDB
MongoDB is a NoSQL database. It's open source. It is a document-oriented database that uses BSON (the binary version of JSON). BSON is a document storage format. MongoDB stores data in the form of documents and does not use SQL to query the database. It supports distributed servers and provides a rich data model.
| Sr. Number | Key | RDBMS | MongoDB | |
|---|---|---|---|---|
| 1 | Concept | RDBMS is a relational database management system that works on a relational database. | MongoDB is a non-relational, document-oriented database management system suitable for document-based databases. | |
| 2 | Hierarchical | It is difficult to store hierarchical data. | Has built-in support for storing hierarchical data. | Has built-in support for storing hierarchical data. td> |
| 3 | Scalability | RDBMS is vertically scalable. Performance improves with more RAM. | MongoDB can also scale horizontally. Its performance increases with the addition of processors. | |
| 4 | Schema | Schema needs to be defined in the RDBMS before using the database. | Schemas can be created and accessed dynamically in MongoDB. | |
| 5 | SQL injection | is vulnerable to SQL injection attacks. | SQL injection is not possible. | |
| 6 | Principles | Follow the ACID principles of atomicity, consistency, isolation, and durability. | Follow the CAP theorem, consistency, availability and partition tolerance. | |
| 7 | Basic | The database uses Row. | The database uses Document. | tr>|
| 8 | Basic | The database uses Column. | The database uses Field. | |
| 9 | Performance | RDBMS is slow when processing large hierarchical data. | MongoDB is very fast for processing large hierarchical data. | |
| 10 | Join | RDBMS supports complex joins. | MongoDB does not support complex joins | |
| 11 | JavaScript client | RDBMS does not provide a JavaScript-based client to query the database . | MongoDB provides a Javascript-based client to query the database. | |
| 12 | Query Language | RDBMS uses SQL to query the database. | MongoDB uses BSON to query the database. |
The above is the detailed content of Differences between RDBMS and MongoDB. For more information, please follow other related articles on the PHP Chinese website!
MongoDB: An Introduction to the NoSQL DatabaseApr 19, 2025 am 12:05 AMMongoDB 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 vs. Relational Databases: A ComparisonApr 18, 2025 am 12:08 AMMongoDB 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 vs. Oracle: Examining Performance and ScalabilityApr 17, 2025 am 12:04 AMMongoDB 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 vs. Oracle: Understanding Key DifferencesApr 16, 2025 am 12:01 AMMongoDB 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: Scaling and Performance ConsiderationsApr 15, 2025 am 12:02 AMMongoDB'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.
The Power of MongoDB: Data Management in the Modern EraApr 13, 2025 am 12:04 AMMongoDB 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.
How to delete mongodb in batchesApr 12, 2025 am 09:27 AMYou 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.
How to set mongodb commandApr 12, 2025 am 09:24 AMTo 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
AI Hentai Generator
Generate AI Hentai for free.
Hot Article
Hot Tools
SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.
WebStorm Mac version
Useful JavaScript development tools
ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment
Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.
MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.
