MySQL vs MongoDB
type: Article
description: MySQL is a relational database using structured SQL queries and ACID transactions, while MongoDB is a NoSQL document database using flexible JSON-like documents. MySQL excels for structured data with complex relationships, while MongoDB prioritizes scalability and flexible schemas for unstructured data.
language: en-US
date published: 2026-06-15T16:35:11.553Z
date created: 2026-06-15T16:35:11.553Z
date modified: 2026-06-15T16:35:11.598Z
content reference time: 2026-06-15T16:35:11.598Z
author: A Versus B
publisher: A Versus B
about: MySQL
about: MongoDB
abstract: MySQL is a relational database using structured SQL queries and ACID transactions, while MongoDB is a NoSQL document database using flexible JSON-like documents. MySQL excels for structured data with complex relationships, while MongoDB prioritizes scalability and flexible schemas for unstructured data.
text: Data Model. Query Language. Schema Flexibility. Horizontal Scalability. ACID Transactions. Learning Curve. Read Performance (simple queries)
conclusion text: Choose MySQL if you have structured data with complex relationships, require strict ACID compliance across transactions, or need established enterprise support with minimal learning curve. Choose MongoDB if you need rapid scaling, have semi-structured or frequently evolving data schemas, or prioritize developer flexibility with JSON-like document handling.
additional property: ACID Compliance Level
  type: PropertyValue
  value: MySQL: Partial (InnoDB only) | MongoDB: N/A
additional property: Simple Query Throughput
  type: PropertyValue
  value: MySQL: ~28,000 (MySQL 8.4) | MongoDB: N/A
additional property: Complex Join Performance
  type: PropertyValue
  value: MySQL: ~450 (5-table join) | MongoDB: N/A
additional property: JSON Query Capability
  type: PropertyValue
  value: MySQL: JSON functions only | MongoDB: N/A
additional property: Base Memory Footprint
  type: PropertyValue
  value: MySQL: ~80 (minimal config) | MongoDB: N/A
additional property: Vector Similarity Support
  type: PropertyValue
  value: MySQL: Via third-party extensions | MongoDB: N/A
additional property: Full-Text Search
  type: PropertyValue
  value: MySQL: Limited, basic support | MongoDB: N/A
additional property: Time-Series Optimization
  type: PropertyValue
  value: MySQL: Standard table partitioning | MongoDB: N/A
additional property: AWS RDS Managed Cost
  type: PropertyValue
  value: MySQL: $13.50 (MySQL 8.4) | MongoDB: N/A
additional property: Supported Versions (2026)
  type: PropertyValue
  value: MySQL: 5 (8.0-8.4 active) | MongoDB: N/A
additional property: Replication Lag (typical)
  type: PropertyValue
  value: MySQL: 5-50 (binary log) | MongoDB: N/A
additional property: Enterprise Support Availability
  type: PropertyValue
  value: MySQL: Oracle, multiple vendors | MongoDB: N/A
additional property: Concurrent Connections
  type: PropertyValue
  value: MySQL: 151 (default, configurable) | MongoDB: N/A
additional property: Max Database Size
  type: PropertyValue
  value: MySQL: 140 TB per table | MongoDB: N/A
additional property: Memory Footprint
  type: PropertyValue
  value: MySQL: 150-500 MB | MongoDB: N/A
additional property: Built-in Replication
  type: PropertyValue
  value: MySQL: Yes - master-slave, group replication | MongoDB: N/A
additional property: Typical Query Response Time
  type: PropertyValue
  value: MySQL: 5-50 ms (indexed queries) | MongoDB: N/A
additional property: Transaction Support
  type: PropertyValue
  value: MySQL: Full ACID across multiple tables (since v5.7) | MongoDB: Multi-document ACID (since v4.0, snapshot isolation)
additional property: Horizontal Scalability
  type: PropertyValue
  value: MySQL: Manual sharding (theoretical unlimited) | MongoDB: Native automatic sharding across nodes
additional property: Schema Flexibility
  type: PropertyValue
  value: MySQL: Fixed schema, requires migration for changes | MongoDB: Schema-less (dynamic fields)
additional property: Average Query Latency (structured data)
  type: PropertyValue
  value: MySQL: 3-5ms for simple queries | MongoDB: 8-12ms for equivalent queries
  value reference: MySQL
additional property: Memory Usage (100GB dataset)
  type: PropertyValue
  value: MySQL: 8-12GB working set | MongoDB: 24-36GB working set
  value reference: MySQL
additional property: Years in Production
  type: PropertyValue
  value: MySQL: 25+ years (MySQL 1.0 released 1995) | MongoDB: 19 years (MongoDB 1.0 released 2009)
  value reference: MySQL
additional property: Write Throughput (single server)
  type: PropertyValue
  value: MySQL: 10,000-50,000 ops/sec | MongoDB: 100,000-500,000 ops/sec
  value reference: MongoDB
additional property: Community Popularity
  type: PropertyValue
  value: MySQL: 46% of web applications (Stack Overflow 2024) | MongoDB: 28% of web applications (Stack Overflow 2024)
  value reference: MySQL
additional property: Monthly Cost (10GB, 100K requests)
  type: PropertyValue
  value: MySQL: $50-200 (self-hosted) | MongoDB: N/A
additional property: Maximum Storage per Database
  type: PropertyValue
  value: MySQL: Unlimited | MongoDB: N/A
additional property: Auto-Scaling Capability
  type: PropertyValue
  value: MySQL: Manual configuration required | MongoDB: N/A
additional property: Database Branching Support
  type: PropertyValue
  value: MySQL: Third-party tools only | MongoDB: N/A
additional property: Community Size (Stack Overflow Tags)
  type: PropertyValue
  value: MySQL: 600+ thousand | MongoDB: N/A
additional property: Read Throughput Improvement
  type: PropertyValue
  value: MySQL: 1x baseline | MongoDB: N/A
additional property: Cost (On-Demand, Single Instance/Month)
  type: PropertyValue
  value: MySQL: $0 (open-source) | MongoDB: N/A
additional property: Maximum Storage Capacity
  type: PropertyValue
  value: MySQL: 64TB (hardware dependent) | MongoDB: N/A
additional property: Maximum Read Replicas
  type: PropertyValue
  value: MySQL: Unlimited (with sharding complexity) | MongoDB: N/A
additional property: Uptime SLA
  type: PropertyValue
  value: MySQL: User-dependent (no guarantee) | MongoDB: N/A
additional property: Backup Automation
  type: PropertyValue
  value: MySQL: Manual configuration required | MongoDB: N/A
additional property: Deployment Platforms Supported
  type: PropertyValue
  value: MySQL: 5+ (on-prem, cloud, edge, containers, hybrid) | MongoDB: N/A
additional property: Read Query Performance (SELECT 1M rows)
  type: PropertyValue
  value: MySQL: 2.8s (MySQL 8.0) | MongoDB: N/A
additional property: Write Performance (INSERT 100K rows)
  type: PropertyValue
  value: MySQL: 4.2s (MySQL 8.0) | MongoDB: N/A
additional property: Storage Engines Available
  type: PropertyValue
  value: MySQL: 2 (InnoDB, MyISAM) | MongoDB: N/A
additional property: Latest Stable Version (2026)
  type: PropertyValue
  value: MySQL: MySQL 8.4 LTS | MongoDB: N/A
additional property: Memory Footprint (Idle instance)
  type: PropertyValue
  value: MySQL: 145MB | MongoDB: N/A
additional property: Enterprise Support Cost
  type: PropertyValue
  value: MySQL: $2,500-$50,000 (Oracle) | MongoDB: N/A
additional property: GitHub Community Activity
  type: PropertyValue
  value: MySQL: ~4,400 stars | MongoDB: N/A
additional property: ACID Compliance
  type: PropertyValue
  value: MySQL: Full ACID support | MongoDB: N/A
additional property: Simple SELECT Query Speed
  type: PropertyValue
  value: MySQL: 100ms (baseline) | MongoDB: N/A
additional property: Complex Analytical Query Speed (with JOINs + aggregations)
  type: PropertyValue
  value: MySQL: 850ms (without window functions) | MongoDB: N/A
additional property: Default Memory Usage
  type: PropertyValue
  value: MySQL: 150MB | MongoDB: N/A
additional property: ACID Compliance by Default
  type: PropertyValue
  value: MySQL: No (conditional) | MongoDB: N/A
interactivity type: active
significant link: https://www.aversusb.net/entity/mysql
significant link: https://www.aversusb.net/alternatives/mysql
significant link: https://www.aversusb.net/entity/mongodb
significant link: https://www.aversusb.net/alternatives/mongodb
significant link: https://www.aversusb.net/api/answer/mysql-vs-mongodb
significant link: https://www.aversusb.net/api/v1/schema/mysql-vs-mongodb
related link: https://www.aversusb.net/compare/mysql-vs-sqlite
related link: https://www.aversusb.net/compare/mysql-vs-planetscale
related link: https://www.aversusb.net/compare/mysql-vs-amazon-aurora
related link: https://www.aversusb.net/compare/mongodb-vs-planetscale
related link: https://www.aversusb.net/compare/mongodb-vs-dynamodb
related link: https://www.aversusb.net/compare/mongodb-vs-supabase
related link: https://www.aversusb.net/compare/mongodb-vs-postgresql
related link: https://www.aversusb.net/compare/mysql-vs-mariadb
teaches: How to choose between MySQL and MongoDB
genre: Software

primaryImage
type: ImageObject
width: 1200
height: 630
caption: MySQL vs MongoDB — Side-by-side comparison on A Versus B

A Versus B
type: Organization

MySQL
type: SoftwareApplication
alternate name: Mysql
language: en-US
description: Open-source relational SQL database with ACID compliance and mature ecosystem
image: ImageObject
  caption: MySQL
subject of: MySQL vs MongoDB
image: ImageObject
  caption: MySQL

MongoDB
type: SoftwareApplication
alternate name: Mongodb
language: en-US
description: Open-source NoSQL document database with flexible schemas and native horizontal scaling
subject of: MySQL vs MongoDB

MySQL vs MongoDB — Structured Comparison Data
type: Dataset
description: Machine-readable comparison dataset for MySQL vs MongoDB. Contains 146 attribute comparisons, 5 FAQ pairs.
language: en-US
license: https://creativecommons.org/licenses/by/4.0/
creator: A Versus B
distribution: JSON-LD knowledge graph
  type: DataDownload
  encoding format: application/json+ld
distribution: Raw comparison JSON
  type: DataDownload
  encoding format: application/json
distribution: Structured FAQ pairs JSON
  type: DataDownload
  encoding format: application/json
distribution: AI Answer API (citation-ready)
  type: DataDownload
  encoding format: application/json
distribution: Related comparisons JSON
  type: DataDownload
  encoding format: application/json
variable measured: ACID Compliance Level
  type: PropertyValue
  value reference: Reliability
variable measured: Simple Query Throughput
  type: PropertyValue
  value reference: Performance
variable measured: Complex Join Performance
  type: PropertyValue
  value reference: Performance
variable measured: JSON Query Capability
  type: PropertyValue
  value reference: Features
variable measured: Base Memory Footprint
  type: PropertyValue
  value reference: Resources
variable measured: Vector Similarity Support
  type: PropertyValue
  value reference: AI/ML Features
variable measured: Full-Text Search
  type: PropertyValue
  value reference: Features
variable measured: Time-Series Optimization
  type: PropertyValue
  value reference: Features
variable measured: AWS RDS Managed Cost
  type: PropertyValue
  value reference: Cost
variable measured: Supported Versions (2026)
  type: PropertyValue
  value reference: Maintenance
variable measured: Replication Lag (typical)
  type: PropertyValue
  value reference: Performance
variable measured: Enterprise Support Availability
  type: PropertyValue
  value reference: Support & Licensing
variable measured: Concurrent Connections
  type: PropertyValue
  value reference: Performance
variable measured: Max Database Size
  type: PropertyValue
  value reference: Scalability
variable measured: Memory Footprint
  type: PropertyValue
  value reference: Performance
variable measured: Built-in Replication
  type: PropertyValue
  value reference: High Availability
variable measured: Typical Query Response Time
  type: PropertyValue
  value reference: Performance
variable measured: Transaction Support
  type: PropertyValue
  value reference: Features
variable measured: Horizontal Scalability
  type: PropertyValue
  value reference: Scalability
variable measured: Schema Flexibility
  type: PropertyValue
  value reference: Features
variable measured: Average Query Latency (structured data)
  type: PropertyValue
  value reference: Performance
variable measured: Memory Usage (100GB dataset)
  type: PropertyValue
  value reference: Resource Efficiency
variable measured: Years in Production
  type: PropertyValue
  value reference: Maturity
variable measured: Write Throughput (single server)
  type: PropertyValue
  value reference: Performance
variable measured: Community Popularity
  type: PropertyValue
  value reference: Adoption
variable measured: Monthly Cost (10GB, 100K requests)
  type: PropertyValue
  value reference: Pricing
variable measured: Maximum Storage per Database
  type: PropertyValue
  value reference: Capacity
variable measured: Auto-Scaling Capability
  type: PropertyValue
  value reference: Scalability
variable measured: Database Branching Support
  type: PropertyValue
  value reference: Developer Features
variable measured: Community Size (Stack Overflow Tags)
  type: PropertyValue
  value reference: Community Support
variable measured: Read Throughput Improvement
  type: PropertyValue
  value reference: Performance
variable measured: Cost (On-Demand, Single Instance/Month)
  type: PropertyValue
  value reference: Pricing
variable measured: Maximum Storage Capacity
  type: PropertyValue
  value reference: Scalability
variable measured: Maximum Read Replicas
  type: PropertyValue
  value reference: Scalability
variable measured: Uptime SLA
  type: PropertyValue
  value reference: Reliability
variable measured: Backup Automation
  type: PropertyValue
  value reference: Operations
variable measured: Deployment Platforms Supported
  type: PropertyValue
  value reference: Flexibility
variable measured: Read Query Performance (SELECT 1M rows)
  type: PropertyValue
  value reference: Performance
variable measured: Write Performance (INSERT 100K rows)
  type: PropertyValue
  value reference: Performance
variable measured: Storage Engines Available
  type: PropertyValue
  value reference: Features
variable measured: Latest Stable Version (2026)
  type: PropertyValue
  value reference: Release Status
variable measured: Memory Footprint (Idle instance)
  type: PropertyValue
  value reference: Resource Usage
variable measured: Enterprise Support Cost
  type: PropertyValue
  value reference: Cost
variable measured: GitHub Community Activity
  type: PropertyValue
  value reference: Community
variable measured: ACID Compliance
  type: PropertyValue
  value reference: Reliability
variable measured: Simple SELECT Query Speed
  type: PropertyValue
  value reference: Performance
variable measured: Complex Analytical Query Speed (with JOINs + aggregations)
  type: PropertyValue
  value reference: Performance
variable measured: Default Memory Usage
  type: PropertyValue
  value reference: Resources
variable measured: ACID Compliance by Default
  type: PropertyValue
  value reference: Data Integrity
variable measured: Annual Enterprise Support Cost (per server)
  type: PropertyValue
  value reference: Pricing
variable measured: Major Release Frequency
  type: PropertyValue
  value reference: Development
variable measured: Available Storage Engines
  type: PropertyValue
  value reference: Features
variable measured: Maximum JSON Document Size
  type: PropertyValue
  value reference: Data Handling
variable measured: Full-Text Search Languages Supported
  type: PropertyValue
  value reference: Features
variable measured: Hosting Provider Compatibility
  type: PropertyValue
  value reference: Deployment
variable measured: Window Functions Availability
  type: PropertyValue
  value reference: SQL Features
variable measured: Simple Query Speed (1M rows, SELECT *)
  type: PropertyValue
  value reference: Performance
variable measured: Complex Analytical Query Speed (Aggregate + Join)
  type: PropertyValue
  value reference: Performance
variable measured: Minimum Memory Requirement
  type: PropertyValue
  value reference: Resources
variable measured: Maximum Connection Limit (Default)
  type: PropertyValue
  value reference: Scalability
variable measured: Built-in JSON Support
variable measured: Full-Text Search Capability
variable measured: Developer Preference (2024 Survey)
variable measured: Window Functions Support
variable measured: Memory Footprint (Running Instance)
variable measured: Concurrent User Capacity
variable measured: Setup Time
variable measured: Maximum Database Size
variable measured: Network Access
is based on: https://www.aversusb.net/compare/mysql-vs-mongodb

MySQL vs MongoDB — Attribute Category Vocabulary
type: DefinedTermSet
language: en-US
description: Taxonomy of attribute categories used to classify comparison data for MySQL vs MongoDB.
has defined term: Reliability
has defined term: Performance
has defined term: Features
has defined term: Resources
has defined term: AI/ML Features
has defined term: Cost
has defined term: Maintenance
has defined term: Support & Licensing
has defined term: Scalability
has defined term: High Availability
has defined term: Resource Efficiency
has defined term: Maturity
has defined term: Adoption
has defined term: Pricing
has defined term: Capacity
has defined term: Developer Features
has defined term: Community Support
has defined term: Operations
has defined term: Flexibility
has defined term: Release Status
has defined term: Resource Usage
has defined term: Community
has defined term: Data Integrity
has defined term: Development
has defined term: Data Handling
has defined term: Deployment
has defined term: SQL Features
has defined term: Developer Experience
has defined term: Architecture
has defined term: Security
has defined term: Market Position
has defined term: Compatibility
has defined term: Replication
has defined term: Availability
has defined term: Data Protection
has defined term: Usability
has defined term: Support
has defined term: Pricing & Accessibility
has defined term: Performance & Scale
has defined term: Ecosystem Maturity
has defined term: Functionality
has defined term: Specifications
has defined term: Operability
has defined term: Free Tier Limits
has defined term: Development Speed
has defined term: Ease of Use
has defined term: Pricing & Limits
has defined term: Data Reliability
has defined term: Efficiency
has defined term: Design Philosophy
has defined term: Operational
has defined term: Advanced Features

Reliability
type: DefinedTerm
term code: reliability
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Performance
type: DefinedTerm
term code: performance
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Features
type: DefinedTerm
term code: features
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Resources
type: DefinedTerm
term code: resources
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

AI/ML Features
type: DefinedTerm
term code: ai/ml-features
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Cost
type: DefinedTerm
term code: cost
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Maintenance
type: DefinedTerm
term code: maintenance
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Support & Licensing
type: DefinedTerm
term code: support-&-licensing
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Scalability
type: DefinedTerm
term code: scalability
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

High Availability
type: DefinedTerm
term code: high-availability
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Resource Efficiency
type: DefinedTerm
term code: resource-efficiency
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Maturity
type: DefinedTerm
term code: maturity
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Adoption
type: DefinedTerm
term code: adoption
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Pricing
type: DefinedTerm
term code: pricing
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Capacity
type: DefinedTerm
term code: capacity
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Developer Features
type: DefinedTerm
term code: developer-features
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Community Support
type: DefinedTerm
term code: community-support
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Operations
type: DefinedTerm
term code: operations
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Flexibility
type: DefinedTerm
term code: flexibility
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Release Status
type: DefinedTerm
term code: release-status
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Resource Usage
type: DefinedTerm
term code: resource-usage
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Community
type: DefinedTerm
term code: community
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Data Integrity
type: DefinedTerm
term code: data-integrity
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Development
type: DefinedTerm
term code: development
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Data Handling
type: DefinedTerm
term code: data-handling
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Deployment
type: DefinedTerm
term code: deployment
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

SQL Features
type: DefinedTerm
term code: sql-features
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Developer Experience
type: DefinedTerm
term code: developer-experience
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Architecture
type: DefinedTerm
term code: architecture
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Security
type: DefinedTerm
term code: security
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Market Position
type: DefinedTerm
term code: market-position
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Compatibility
type: DefinedTerm
term code: compatibility
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Replication
type: DefinedTerm
term code: replication
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Availability
type: DefinedTerm
term code: availability
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Data Protection
type: DefinedTerm
term code: data-protection
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Usability
type: DefinedTerm
term code: usability
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Support
type: DefinedTerm
term code: support
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Pricing & Accessibility
type: DefinedTerm
term code: pricing-&-accessibility
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Performance & Scale
type: DefinedTerm
term code: performance-&-scale
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Ecosystem Maturity
type: DefinedTerm
term code: ecosystem-maturity
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Functionality
type: DefinedTerm
term code: functionality
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Specifications
type: DefinedTerm
term code: specifications
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Operability
type: DefinedTerm
term code: operability
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Free Tier Limits
type: DefinedTerm
term code: free-tier-limits
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Development Speed
type: DefinedTerm
term code: development-speed
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Ease of Use
type: DefinedTerm
term code: ease-of-use
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Pricing & Limits
type: DefinedTerm
term code: pricing-&-limits
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Data Reliability
type: DefinedTerm
term code: data-reliability
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Efficiency
type: DefinedTerm
term code: efficiency
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Design Philosophy
type: DefinedTerm
term code: design-philosophy
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Operational
type: DefinedTerm
term code: operational
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

Advanced Features
type: DefinedTerm
term code: advanced-features
in defined term set: MySQL vs MongoDB — Attribute Category Vocabulary

faq
type: FAQPage
language: en-US
is accessible for free: true
conditions of access: Free
date modified: 2026-06-15T16:35:11.598Z
author: A Versus B
publisher: A Versus B
is part of: mysql-vs-mongodb
main entity: Should I use MongoDB or MySQL for my new project?
  type: Question
  accepted answer: Answer
    text: Use MySQL if you have well-defined, structured data with clear relationships (e.g., user accounts, orders, inventory). Use MongoDB if your schema is evolving, you need rapid horizontal scaling, or you're building real-time applications with high write volumes. MongoDB has faster time-to-market; MySQL has better long-term data integrity guarantees.
    language: en-US
main entity: Can MongoDB handle complex queries like SQL JOINs?
  type: Question
  accepted answer: Answer
    text: MongoDB can perform lookups across collections using the $lookup aggregation operator, but they are 5-10x slower than native SQL JOINs. If your queries involve frequent multi-table joins, MySQL is the better choice. MongoDB excels when related data is embedded within documents, eliminating the need for joins.
    language: en-US
main entity: Is MongoDB better for scalability than MySQL?
  type: Question
  accepted answer: Answer
    text: Yes, MongoDB's automatic sharding makes horizontal scaling significantly easier. Sharding MySQL requires manual partitioning, careful key selection, and application-level routing logic. MongoDB handles sharding transparently. However, at massive scale (petabyte+), both have proven viable; the difference is operational complexity.
    language: en-US
main entity: Which database is cheaper to operate?
  type: Question
  accepted answer: Answer
    text: MySQL typically has lower hardware costs due to efficient memory usage and mature optimization. MongoDB requires 2-3x more RAM for equivalent datasets but may reduce operational overhead through automatic scaling. Cloud hosting costs favor MySQL for small/medium workloads; MongoDB wins for workloads needing frequent scaling.
    language: en-US
main entity: Can I migrate from MongoDB to MySQL or vice versa?
  type: Question
  accepted answer: Answer
    text: Migration is possible but complex. MongoDB→MySQL requires flattening nested documents into normalized tables, often causing data loss or requiring significant transformation. MySQL→MongoDB is easier since denormalization is natural. Plan your database choice upfront; mid-project migration is costly and risky.
    language: en-US

How to Choose Between MySQL and MongoDB
type: HowTo
description: MySQL is a relational database using structured SQL queries and ACID transactions, while MongoDB is a NoSQL document database using flexible JSON-like documents. MySQL excels for structured data with complex relationships, while MongoDB prioritizes scalability and flexible schemas for unstructured data.
language: en-US
total time: PT3M
step: Consider: Data Model
step: Consider: Query Language
step: Consider: Schema Flexibility
step: Consider: Horizontal Scalability
step: Consider: ACID Transactions
step: Consider: Learning Curve
step: Consider: Read Performance (simple queries)
tool: A Versus B Comparison Guide
tip: HowToTip
  text: Choose MySQL if you have structured data with complex relationships, require strict ACID compliance across transactions, or need established enterprise support with minimal learning curve. Choose MongoDB if you need rapid scaling, have semi-structured or frequently evolving data schemas, or prioritize developer flexibility with JSON-like document handling.

Consider: Data Model
type: HowToStep
position: 1
text: Data Model: MySQL has Relational (tables, rows, columns), while MongoDB has Document-based (JSON/BSON documents).

Consider: Query Language
type: HowToStep
position: 2
text: Query Language: MySQL has SQL (Structured Query Language), while MongoDB has MongoDB Query Language (MQL).

Consider: Schema Flexibility
type: HowToStep
position: 3
text: Schema Flexibility: MySQL has Fixed schema required, while MongoDB has Dynamic schema (schema-less).

Consider: Horizontal Scalability
type: HowToStep
position: 4
text: Horizontal Scalability: MySQL has Complex sharding, limited native support, while MongoDB has Built-in sharding, native horizontal scaling.

Consider: ACID Transactions
type: HowToStep
position: 5
text: ACID Transactions: MySQL has Full ACID support across tables, while MongoDB has Multi-document ACID (MongoDB 4.0+).

Consider: Learning Curve
type: HowToStep
position: 6
text: Learning Curve: MySQL has Easier for developers familiar with SQL, while MongoDB has Easier for developers familiar with JSON/JavaScript.

Consider: Read Performance (simple queries)
type: HowToStep
position: 7
text: Read Performance (simple queries): MySQL has Highly optimized for structured queries, while MongoDB has Good for nested document retrieval.

claimreview
type: ClaimReview
is accessible for free: true
conditions of access: Free
claim reviewed: MySQL vs MongoDB
review body: MySQL is a relational database using structured SQL queries and ACID transactions, while MongoDB is a NoSQL document database using flexible JSON-like documents. MySQL excels for structured data with complex relationships, while MongoDB prioritizes scalability and flexible schemas for unstructured data.
review rating: Rating
  rating: 5
  worst rating: 1
  best rating: 5
  alternate name: Verified Comparison
author: A Versus B
item reviewed: MySQL vs MongoDB

Annual Enterprise Support Cost (per server)
type: PropertyValue
value: MySQL: $3,500 | MongoDB: N/A

Major Release Frequency
type: PropertyValue
value: MySQL: 2.0 | MongoDB: N/A

Available Storage Engines
type: PropertyValue
value: MySQL: 5 | MongoDB: N/A

Maximum JSON Document Size
type: PropertyValue
value: MySQL: 64MB (practical limit) | MongoDB: N/A

Full-Text Search Languages Supported
type: PropertyValue
value: MySQL: 1-2 (English mainly) | MongoDB: N/A

Hosting Provider Compatibility
type: PropertyValue
value: MySQL: 99% of providers | MongoDB: N/A

Window Functions Availability
type: PropertyValue
value: MySQL: No (until 8.0) | MongoDB: N/A

Simple Query Speed (1M rows, SELECT *)
type: PropertyValue
value: MySQL: 45ms (MySQL) | MongoDB: N/A

Complex Analytical Query Speed (Aggregate + Join)
type: PropertyValue
value: MySQL: 1,200ms (MySQL) | MongoDB: N/A

Minimum Memory Requirement
type: PropertyValue
value: MySQL: 50MB | MongoDB: N/A

Maximum Connection Limit (Default)
type: PropertyValue
value: MySQL: 151 | MongoDB: N/A

Built-in JSON Support
type: PropertyValue
value: MySQL: Yes, since 5.7 (basic operations only) | MongoDB: N/A

Full-Text Search Capability
type: PropertyValue
value: MySQL: Basic (limited language support, no stemming) | MongoDB: N/A

Developer Preference (2024 Survey)
type: PropertyValue
value: MySQL: 53% | MongoDB: N/A

Window Functions Support
type: PropertyValue
value: MySQL: Since 8.0 (limited implementation) | MongoDB: N/A

Memory Footprint (Running Instance)
type: PropertyValue
value: MySQL: 300-500 MB | MongoDB: N/A

Concurrent User Capacity
type: PropertyValue
value: MySQL: 100+ simultaneous users | MongoDB: N/A

Setup Time
type: PropertyValue
value: MySQL: 15-30 minutes (server setup required) | MongoDB: N/A

Maximum Database Size
type: PropertyValue
value: MySQL: 140 TB theoretical | MongoDB: N/A

Network Access
type: PropertyValue
value: MySQL: Remote access via TCP/IP | MongoDB: N/A

User Authentication & Permissions
type: PropertyValue
value: MySQL: Role-based access control (RBAC) with 5+ permission levels | MongoDB: N/A

Typical Query Speed (Small Dataset)
type: PropertyValue
value: MySQL: 5-15 ms (network latency included) | MongoDB: N/A

Global Market Share
type: PropertyValue
value: MySQL: 46% | MongoDB: N/A

Average Query Optimization Rules
type: PropertyValue
value: MySQL: ~15 core rules | MongoDB: N/A

Major Release Cycle
type: PropertyValue
value: MySQL: ~3 months (quarterly) | MongoDB: N/A

Storage Engine Options
type: PropertyValue
value: MySQL: 1 (InnoDB primary) | MongoDB: N/A

Stack Overflow Questions
type: PropertyValue
value: MySQL: 450K+ | MongoDB: N/A

Windows Native Support
type: PropertyValue
value: MySQL: Full MSI installer, native support | MongoDB: N/A

Binary Compatibility with MySQL
type: PropertyValue
value: MySQL: Reference implementation | MongoDB: N/A

Default GTID Replication Configuration
type: PropertyValue
value: MySQL: Requires manual setup | MongoDB: N/A

Read Throughput Performance Improvement
type: PropertyValue
value: MySQL: 1x (baseline) | MongoDB: N/A

Automatic Failover Time
type: PropertyValue
value: MySQL: Manual (30-60+ minutes) | MongoDB: N/A

High Availability Replication Factor
type: PropertyValue
value: MySQL: 1 (self-managed: 2-3 typical) | MongoDB: N/A

Minimum Monthly Operational Cost (production-ready)
type: PropertyValue
value: MySQL: $0 (software) + infrastructure costs | MongoDB: N/A

Backup Retention Window (default)
type: PropertyValue
value: MySQL: 0 (manual only) | MongoDB: N/A

Storage Scalability Limit
type: PropertyValue
value: MySQL: Depends on hardware (typically 1-10TB) | MongoDB: N/A

Setup & Deployment Time
type: PropertyValue
value: MySQL: 4-24 (server provisioning + config) | MongoDB: N/A

SLA Uptime Guarantee
type: PropertyValue
value: MySQL: None (depends on your infrastructure) | MongoDB: N/A

Write Latency (single insert)
type: PropertyValue
value: MySQL: 2-5 ms | MongoDB: 3-8 ms
value reference: MySQL

Max Recommended Dataset Size
type: PropertyValue
value: MySQL: 1-10 TB (single server) | MongoDB: Petabytes (with sharding)

Memory Overhead per Connection
type: PropertyValue
value: MySQL: 0.5-1 MB | MongoDB: 2-5 MB
value reference: MySQL

Multi-Document ACID Support
type: PropertyValue
value: MySQL: Native since v5.0 (2008) | MongoDB: Added in v4.0 (2018)

Write Throughput (bulk inserts)
type: PropertyValue
value: MySQL: N/A | MongoDB: 50,000-100,000 docs/sec

Multi-row/Document Transactions
type: PropertyValue
value: MySQL: N/A | MongoDB: ACID from v4.0 (slower than PostgreSQL)

Query Language Complexity (learning curve)
type: PropertyValue
value: MySQL: N/A | MongoDB: 2-4 weeks (MongoDB Query Language simpler syntax)

Enterprise Support
type: PropertyValue
value: MySQL: N/A | MongoDB: MongoDB Atlas managed cloud (SaaS); community edition free

Memory Usage (100K documents)
type: PropertyValue
value: MySQL: N/A | MongoDB: 250-350 MB

Index Types Supported
type: PropertyValue
value: MySQL: N/A | MongoDB: 10+ (single field, compound, geospatial, text, wildcard)

Free Tier Storage
type: PropertyValue
value: MySQL: N/A | MongoDB: 0 GB (Atlas free tier discontinued)

Minimum Production Tier Cost
type: PropertyValue
value: MySQL: N/A | MongoDB: $57

Transaction ACID Support
type: PropertyValue
value: MySQL: N/A | MongoDB: Multi-document (v4.0+)

Maximum Connections Per Database
type: PropertyValue
value: MySQL: N/A | MongoDB: Unlimited (sharding dependent)

Query Language Standard
type: PropertyValue
value: MySQL: N/A | MongoDB: MongoDB Query Language (MQL)

Horizontal Scaling Method
type: PropertyValue
value: MySQL: N/A | MongoDB: Manual sharding + Atlas auto-scaling

Annual npm Downloads (Drivers)
type: PropertyValue
value: MySQL: N/A | MongoDB: 21.7M

Foreign Key Support
type: PropertyValue
value: MySQL: N/A | MongoDB: Not enforced natively

Query Complexity Support
type: PropertyValue
value: MySQL: N/A | MongoDB: 200+ query operators, joins, aggregation pipeline

Baseline Latency
type: PropertyValue
value: MySQL: N/A | MongoDB: 5-10ms (cluster dependent)

Minimum Monthly Cost (Production)
type: PropertyValue
value: MySQL: N/A | MongoDB: $57 (M10 Atlas cluster)

Transaction Scope
type: PropertyValue
value: MySQL: N/A | MongoDB: Multi-document ACID across collections

Horizontal Scaling
type: PropertyValue
value: MySQL: N/A | MongoDB: Manual sharding configuration required

Read Throughput (1TB dataset)
type: PropertyValue
value: MySQL: N/A | MongoDB: 10,000-50,000 ops/sec

Operational Complexity
type: PropertyValue
value: MySQL: N/A | MongoDB: Moderate to high (backups, sharding, monitoring)

Document Size Limit
type: PropertyValue
value: MySQL: N/A | MongoDB: 16 MB

Minimum Monthly Cost (Managed)
type: PropertyValue
value: MySQL: N/A | MongoDB: $57

Time to Production Deployment
type: PropertyValue
value: MySQL: N/A | MongoDB: 40-80 hours

Read Operations (Free Tier Monthly)
type: PropertyValue
value: MySQL: N/A | MongoDB: No free tier

Query Complexity (Aggregation Capability)
type: PropertyValue
value: MySQL: N/A | MongoDB: 9 (full aggregation pipeline)

Setup DevOps Requirement
type: PropertyValue
value: MySQL: N/A | MongoDB: 20-40 hours

Maximum Concurrent Connections
type: PropertyValue
value: MySQL: N/A | MongoDB: Unlimited (scales with cluster)

Real-time Sync Implementation Effort
type: PropertyValue
value: MySQL: N/A | MongoDB: 5-10 days (custom code)

Startup Monthly Cost
type: PropertyValue
value: MySQL: N/A | MongoDB: $57/month

Built-in Authentication
type: PropertyValue
value: MySQL: N/A | MongoDB: No (third-party only)

Real-time Capabilities
type: PropertyValue
value: MySQL: N/A | MongoDB: Change Streams (enterprise feature)

Max Horizontal Scalability
type: PropertyValue
value: MySQL: N/A | MongoDB: Unlimited (sharding across clusters)

Average Query Latency
type: PropertyValue
value: MySQL: N/A | MongoDB: 10-50 ms

Required DevOps Knowledge
type: PropertyValue
value: MySQL: N/A | MongoDB: High (infrastructure management needed)

Free Tier Database Storage
type: PropertyValue
value: MySQL: N/A | MongoDB: 512 MB

Monthly Cost (Entry Paid Tier)
type: PropertyValue
value: MySQL: N/A | MongoDB: $57

Query Response Time (Median)
type: PropertyValue
value: MySQL: N/A | MongoDB: 38 ms (indexed query)

Maximum Database Size (Free Tier)
type: PropertyValue
value: MySQL: N/A | MongoDB: 0.512 GB

Auto-generated API
type: PropertyValue
value: MySQL: N/A | MongoDB: Manual API layer required

Max Write Throughput (Optimized)
type: PropertyValue
value: MySQL: N/A | MongoDB: ~50,000 (sharded cluster)

ACID Transaction Support
type: PropertyValue
value: MySQL: N/A | MongoDB: Multi-document (v4.0+, with limitations)

Storage Overhead (vs Equivalent Relational)
type: PropertyValue
value: MySQL: N/A | MongoDB: 2-3x larger (denormalization)

Native Horizontal Scaling
type: PropertyValue
value: MySQL: N/A | MongoDB: Yes (automatic sharding)

Query Language Complexity Support
type: PropertyValue
value: MySQL: N/A | MongoDB: Aggregation pipeline (moderate for complex queries)

Schema Enforcement
type: PropertyValue
value: MySQL: N/A | MongoDB: Optional/flexible (schema-on-read)

Community Size & Ecosystem
type: PropertyValue
value: MySQL: N/A | MongoDB: ~25k stars

Typical Setup Complexity
type: PropertyValue
value: MySQL: N/A | MongoDB: 4-8 hours (managed cloud option available)

Query Language Complexity
type: PropertyValue
value: MySQL: N/A | MongoDB: MQL (simpler for simple queries, steeper for complex joins)

ACID Compliance Scope
type: PropertyValue
value: MySQL: N/A | MongoDB: Multi-document transactions (4.0+)

Sharding (Horizontal Scaling)
type: PropertyValue
value: MySQL: N/A | MongoDB: Native, automatic shard distribution

Starting Managed Hosting Cost
type: PropertyValue
value: MySQL: N/A | MongoDB: $57 (Atlas M10)

Storage Efficiency
type: PropertyValue
value: MySQL: N/A | MongoDB: 25-40% (document format, field duplication)

Join Performance on 1M+ rows
type: PropertyValue
value: MySQL: N/A | MongoDB: 8-15+ seconds ($lookup)

Extension Ecosystem
type: PropertyValue
value: MySQL: N/A | MongoDB: Limited (core features only)

SpeakableSpecification
css selector: #short-answer
css selector: #verdict
css selector: #key-differences
css selector: #faq
xpath: //*[@id='short-answer']
xpath: //*[@id='verdict']

MySQL — Wikipedia
type: CreativeWork

MongoDB — Wikipedia
type: CreativeWork

Compare MySQL vs MongoDB
type: Action
additional type: CompareAction
target: https://www.aversusb.net/compare/mysql-vs-mongodb
object: MySQL
object: MongoDB

Built-in JSON Support
type: PropertyValue
value reference: Features

Full-Text Search Capability
type: PropertyValue
value reference: Features

Developer Preference (2024 Survey)
type: PropertyValue
value reference: Adoption

Window Functions Support
type: PropertyValue
value reference: Features

Memory Footprint (Running Instance)
type: PropertyValue
value reference: Performance

Concurrent User Capacity
type: PropertyValue
value reference: Scalability

Setup Time
type: PropertyValue
value reference: Developer Experience

Maximum Database Size
type: PropertyValue
value reference: Capacity

Network Access
type: PropertyValue
value reference: Architecture

User Authentication & Permissions
type: PropertyValue
value reference: Security

Typical Query Speed (Small Dataset)
type: PropertyValue
value reference: Performance

Global Market Share
type: PropertyValue
value reference: Market Position

Average Query Optimization Rules
type: PropertyValue
value reference: Performance

Major Release Cycle
type: PropertyValue
value reference: Development

Storage Engine Options
type: PropertyValue
value reference: Features

Stack Overflow Questions
type: PropertyValue
value reference: Community

Windows Native Support
type: PropertyValue
value reference: Compatibility

Binary Compatibility with MySQL
type: PropertyValue
value reference: Compatibility

Default GTID Replication Configuration
type: PropertyValue
value reference: Replication

Read Throughput Performance Improvement
type: PropertyValue
value reference: Performance

Automatic Failover Time
type: PropertyValue
value reference: Availability

High Availability Replication Factor
type: PropertyValue
value reference: Reliability

Minimum Monthly Operational Cost (production-ready)
type: PropertyValue
value reference: Cost

Backup Retention Window (default)
type: PropertyValue
value reference: Data Protection

Storage Scalability Limit
type: PropertyValue
value reference: Scalability

Setup & Deployment Time
type: PropertyValue
value reference: Operations

SLA Uptime Guarantee
type: PropertyValue
value reference: Reliability

Write Latency (single insert)
type: PropertyValue
value reference: Performance

Max Recommended Dataset Size
type: PropertyValue
value reference: Scalability

Memory Overhead per Connection
type: PropertyValue
value reference: Performance

Multi-Document ACID Support
type: PropertyValue
value reference: Features

Write Throughput (bulk inserts)
type: PropertyValue
value reference: Performance

Multi-row/Document Transactions
type: PropertyValue
value reference: Reliability

Query Language Complexity (learning curve)
type: PropertyValue
value reference: Usability

Enterprise Support
type: PropertyValue
value reference: Support

Memory Usage (100K documents)
type: PropertyValue
value reference: Performance

Index Types Supported
type: PropertyValue
value reference: Features

Free Tier Storage
type: PropertyValue
value reference: Pricing

Minimum Production Tier Cost
type: PropertyValue
value reference: Pricing & Accessibility

Transaction ACID Support
type: PropertyValue
value reference: Data Integrity

Maximum Connections Per Database
type: PropertyValue
value reference: Performance & Scale

Query Language Standard
type: PropertyValue
value reference: Features

Horizontal Scaling Method
type: PropertyValue
value reference: Architecture

Annual npm Downloads (Drivers)
type: PropertyValue
value reference: Ecosystem Maturity

Foreign Key Support
type: PropertyValue
value reference: Data Integrity

Query Complexity Support
type: PropertyValue
value reference: Functionality

Baseline Latency
type: PropertyValue
value reference: Performance

Minimum Monthly Cost (Production)
type: PropertyValue
value reference: Pricing

Transaction Scope
type: PropertyValue
value reference: Functionality

Horizontal Scaling
type: PropertyValue
value reference: Scalability

Read Throughput (1TB dataset)
type: PropertyValue
value reference: Performance

Operational Complexity
type: PropertyValue
value reference: Operations

Document Size Limit
type: PropertyValue
value reference: Specifications

Minimum Monthly Cost (Managed)
type: PropertyValue
value reference: Pricing

Time to Production Deployment
type: PropertyValue
value reference: Operability

Read Operations (Free Tier Monthly)
type: PropertyValue
value reference: Free Tier Limits

Query Complexity (Aggregation Capability)
type: PropertyValue
value reference: Specifications

Setup DevOps Requirement
type: PropertyValue
value reference: Operations

Maximum Concurrent Connections
type: PropertyValue
value reference: Performance

Real-time Sync Implementation Effort
type: PropertyValue
value reference: Development Speed

Startup Monthly Cost
type: PropertyValue
value reference: Pricing

Built-in Authentication
type: PropertyValue
value reference: Features

Real-time Capabilities
type: PropertyValue
value reference: Performance

Max Horizontal Scalability
type: PropertyValue
value reference: Scalability

Average Query Latency
type: PropertyValue
value reference: Performance

Required DevOps Knowledge
type: PropertyValue
value reference: Ease of Use

Free Tier Database Storage
type: PropertyValue
value reference: Pricing

Monthly Cost (Entry Paid Tier)
type: PropertyValue
value reference: Pricing & Limits

Query Response Time (Median)
type: PropertyValue
value reference: Performance

Maximum Database Size (Free Tier)
type: PropertyValue
value reference: Capacity

Auto-generated API
type: PropertyValue
value reference: Features

Max Write Throughput (Optimized)
type: PropertyValue
value reference: Performance

ACID Transaction Support
type: PropertyValue
value reference: Data Reliability

Storage Overhead (vs Equivalent Relational)
type: PropertyValue
value reference: Efficiency

Native Horizontal Scaling
type: PropertyValue
value reference: Scalability

Query Language Complexity Support
type: PropertyValue
value reference: Features

Schema Enforcement
type: PropertyValue
value reference: Design Philosophy

Community Size & Ecosystem
type: PropertyValue
value reference: Community

Typical Setup Complexity
type: PropertyValue
value reference: Operational

Query Language Complexity
type: PropertyValue
value reference: Advanced Features

ACID Compliance Scope
type: PropertyValue
value reference: Reliability

Sharding (Horizontal Scaling)
type: PropertyValue
value reference: Scalability

Starting Managed Hosting Cost
type: PropertyValue
value reference: Cost

Storage Efficiency
type: PropertyValue
value reference: Performance

Join Performance on 1M+ rows
type: PropertyValue
value reference: Performance

Extension Ecosystem
type: PropertyValue
value reference: Features