MongoDB

MongoDB

4.8 out of 5 stars
MySQL

MySQL

Oracle
4.8 out of 5 stars
MongoDB MySQL

Related Products

  • Couchbase
    4.4 out of 5 stars 418 Ratings
    Visit Website for Couchbase
  • RaimaDB
    4.8 out of 5 stars 12 Ratings
    Visit Website for RaimaDB
  • TIMi
    4.9 out of 5 stars 68 Ratings
    Visit Website for TIMi
  • Google Cloud SQL
    4.5 out of 5 stars 554 Ratings
    Visit Website for Google Cloud SQL
  • DbVisualizer
    4.8 out of 5 stars 593 Ratings
    Visit Website for DbVisualizer
  • Google Cloud Platform
    4.5 out of 5 stars 61,093 Ratings
    Visit Website for Google Cloud Platform
  • Google Cloud BigQuery
    4.5 out of 5 stars 2,037 Ratings
    Visit Website for Google Cloud BigQuery
  • Google Cloud Run
    4.5 out of 5 stars 352 Ratings
    Visit Website for Google Cloud Run
  • Runpod
    4.2 out of 5 stars 230 Ratings
    Visit Website for Runpod
  • Bacula Enterprise
    4.5 out of 5 stars 125 Ratings
    Visit Website for Bacula Enterprise
MongoDB:

About

MongoDB is a general purpose, document-based, distributed database built for modern application developers and for the cloud era. No database is more productive to use. Ship and iterate 3–5x faster with our flexible document data model and a unified query interface for any use case. Whether it’s your first customer or 20 million users around the world, meet your performance SLAs in any environment. Easily ensure high availability, protect data integrity, and meet the security and compliance standards for your mission-critical workloads. An integrated suite of cloud database services that allow you to address a wide variety of use cases, from transactional to analytical, from search to data visualizations. Launch secure mobile apps with native, edge-to-cloud sync and automatic conflict resolution. Run MongoDB anywhere, from your laptop to your data center.
MySQL:

About

MySQL is the world's most popular open source database. With its proven performance, reliability, and ease-of-use, MySQL has become the leading database choice for web-based applications, used by high profile web properties including Facebook, Twitter, YouTube, and all five of the top five websites*. Additionally, it is an extremely popular choice as embedded database, distributed by thousands of ISVs and OEMs.
MongoDB:

Platforms Supported

Windows Supported
Mac Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
MySQL:

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
MongoDB:

Audience

Application developers seeking a solution to create, build, deploy and run their cloud native apps
MySQL:

Audience

Any business and organization looking for a powerful Relational Database solution
MongoDB:

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported
MySQL:

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported
MongoDB:

API

Offers API Not Supported
MySQL:

API

Offers API Not Supported
MongoDB:

Screenshots and Videos

MySQL:

Screenshots and Videos

MongoDB:

Pricing

Free
Free Version Supported
Free Trial Supported
MySQL:

Pricing

Free
Free Version Supported
Free Trial Not Supported
MongoDB:

Reviews/Ratings

Overall 4.8 / 5
ease 4.7 / 5
features 4.7 / 5
design 4.7 / 5
support 4.9 / 5
MySQL:

Reviews/Ratings

Overall 4.8 / 5
ease 4.5 / 5
features 4.8 / 5
design 4.7 / 5
support 4.7 / 5
MongoDB:

Pros & Cons from Real Users

Pros

  • 1. The best feature of MongoDB is ease of use and easy to learn syntax. 2. It is scalable and perfect database for small and large application as well. 3. It can be easily connected with various tools through APIs. Not only that, but it provides of the best support among all databases because of the large community. 4. It has good support for many programming languages and framework integration.
  • - MongoDB has reading and writing speed faster than any typical SQL Database. - The user interface is clean and simple to use, also, the installing and set up of the application is pretty straightforward. - It is a highly scalable database, perfect for big projects and applications. - It supports easy and quick integration with many third-party applications. - The syntax used in the application is easy to learn and does not take up a lot of time in the process.
  • - MongoDB is a document based database which is compatible with both large and small scale application. - Operations like CRUD operation are fast and reliable, easy to use. - The learning curve for the application is quite low, any beginner can get used to the application in few days. - The community size of the application is quite large, which helps a lot when stuck with a problem with the application.
  • - MongoDB reads and writes data in real-time quite fast. - Connection can be made with any tool through the use of APIs. - It supports all the major programming languages and frameworks. - It is flexible to use and can be scalable. - The UI of the application is simple and intuitive.
  • The best part of using MongoDB as a database for any application is the reliability and ease of use. The application's user interface is crafted for simplicity and functionality. It has NoSQL architecture, which makes it preferable to migrate any project to this platform. Along with ease of usage, it is also a good platform for scalable applications.

Cons

  • 1. Usually, it takes up a lot more disk space than any other alternatives. 2. There are some security concerns which should be resolved for more trust building of the users.
  • - Using more than few relational data leads to the application becoming trick and complex to handle.
  • - It is a NoSQL, easy to use database, no cons in my usage.
  • - It is not a suitable database when it comes to writing complex queries. - Memory consumption is quite high.
  • There is some complexity initially in the set-up, but the community is quite helpful in resolving those issues.
MySQL:

Pros & Cons from Real Users

Pros

  • 1. It can be easily integrated with various development environments. 2. It is not heavy on the CPU. Furthermore, it is available on all the operating systems, such as- Windows, Linux and, macOS. 3. The operation time is low, and the processes happens very quickly.
  • - The best feature about MySQL that makes it most appealing to the beginners is how easy it is to install, set up and get started with it. - It supports integration with almost all the major IDEs like VS Code and IntelliJ IDEA. - The queries used are simple and readable in layman language. - Multiple databases can be connected at once, so the user can work on multiple projects simultaneously.
  • - MySQL performs fast in every scenario and provide effective services. - It can store relational data and managing it in future is effortless. - It provides a robust security to the databases.
  • 1. It can be easily integrated with numerous development tools, programming languages and environments. 2. It is very efficient to use and does not take up a lot of CPU power to run. Furthermore, it can be easily used between teams working on a large project. 3. It is an open source software, hence, free to use under GNU license.
  • According to my real life experience, Always feel MySQL is one of the best platform for data management (Create, Update, Retrieve and Delete operations for DB, tables and related things). Some key features: - Cross-platform support for different operating systems. - MySQL is easy to use. - Quick management. - Offers a customizable interface so that one cannot get stuck. - Efficient use of resources at the memory. - A high-speed transactional processing system. - Storing relational data. - Easy integration with development tools and environments. - Connection with different programming languages.

Cons

  • 1. The user has to know the SQL queries in order to use the tool.
  • - The software crashes occasionally but luckily because of auto save feature no data gets lost. - It is the best tool for small databases, but when it comes to large databases, it is not the ideal option because of its limitations.
  • - User Interface and layout is confusing for beginners.
  • 1. There is a high learning curve while learning to use this initially.
  • I faced few issues with performance but now resolved with updated version. No Cons!
MongoDB:

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported
MySQL:

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported
MongoDB:

Company Information

MongoDB
Founded: 2007
United States
www.mongodb.com
MySQL:

Company Information

Oracle
Founded: 1977
United States
www.mysql.com
MongoDB:

Alternatives

Couchbase

Couchbase

4.4 out of 5 stars
MySQL:

Alternatives

Couchbase

Couchbase

4.4 out of 5 stars
MongoDB:
RaimaDB

RaimaDB

Raima
4.8 out of 5 stars
MySQL:
Google Cloud BigQuery

Google Cloud BigQuery

Google
4.5 out of 5 stars
MongoDB:
Google Cloud Firestore

Google Cloud Firestore

Google
4.7 out of 5 stars
MySQL:
Google Cloud SQL

Google Cloud SQL

Google
4.5 out of 5 stars
MongoDB:
MongoDB Atlas

MongoDB Atlas

MongoDB
5.0 out of 5 stars
MySQL:
RaimaDB

RaimaDB

Raima
4.8 out of 5 stars
MongoDB:
Azure Cosmos DB

Azure Cosmos DB

Microsoft
MySQL:
MongoDB:

Categories

Big Data Supported
Data Management Supported
Database Supported
Document Databases Supported
NoSQL Database Supported
Serverless Supported
MySQL:

Categories

Embedded Database Supported
SQL Databases Supported
MongoDB:

Big Data Features

Collaboration Not Supported
Data Blends Not Supported
Data Cleansing Not Supported
Data Mining Not Supported
Data Visualization Supported
Data Warehousing Supported
High Volume Processing Supported
No-Code Sandbox Not Supported
Predictive Analytics Not Supported
Templates Not Supported

Data Management Features

Customer Data Not Supported
Data Analysis Supported
Data Capture Not Supported
Data Integration Supported
Data Migration Supported
Data Quality Control Supported
Data Security Supported
Information Governance Not Supported
Master Data Management Not Supported
Match & Merge Not Supported

Database Features

Backup and Recovery Supported
Creation / Development Supported
Data Migration Supported
Data Replication Supported
Data Search Supported
Data Security Supported
Database Conversion Supported
Mobile Access Supported
Monitoring Supported
NOSQL Supported
Performance Analysis Supported
Queries Supported
Relational Interface Supported
Virtualization Supported

NoSQL Database Features

Auto-sharding Supported
Automatic Database Replication Supported
Data Model Flexibility Supported
Deployment Flexibility Supported
Dynamic Schemas Supported
Integrated Caching Supported
Multi-Model Supported
Performance Management Supported
Security Management Supported
MySQL:

Relational Database Features

ACID Compliance Supported
Data Failure Recovery Supported
Multi-Platform Supported
Referential Integrity Supported
SQL DDL Support Supported
SQL DML Support Supported
System Catalog Supported
Unicode Support Supported
MongoDB:

Integrations

Azure Marketplace Supported
Chronicle SOAR Supported
Cyral Supported
Gravity Data Supported
Happy Apps Supported
IBM StreamSets Supported
ILLA Cloud Supported
Instainer Supported
Kamailio Supported
Metric Insights Supported
Nextless.js Supported
OpenDAX Supported
Percona TokuDB Supported
Pipedream Supported
Polar Security Supported
RTILA Supported
Sopact Impact Cloud Supported
Supaboard Supported
Webuzo Supported
eApps Supported
MySQL:

Integrations

Azure Marketplace Supported
Chronicle SOAR Supported
Cyral Supported
Gravity Data Supported
Happy Apps Supported
IBM StreamSets Supported
ILLA Cloud Supported
Instainer Supported
Kamailio Supported
Metric Insights Supported
Nextless.js Supported
OpenDAX Supported
Percona TokuDB Supported
Pipedream Supported
Polar Security Supported
RTILA Supported
Sopact Impact Cloud Supported
Supaboard Supported
Webuzo Supported
eApps Supported
MongoDB:
Claim MongoDB and update features and information
Claim MongoDB and update features and information
MySQL:
Claim MySQL and update features and information
Claim MySQL and update features and information