ORM Data v1.0.0 Updated 2026-01-29

Mongoose

Elegant MongoDB object modeling for Node.js

N/A N/A Unknown N/A
86 /100
Strong pick Good confidence (85%)

Quick Verdict

Best For

  • Type-safe database access
  • Rapid development
  • Complex data relationships
  • Teams preferring code-first approach

Consider Alternatives If

  • Maximum query control
  • Simple CRUD operations
  • Performance-critical queries

Top Alternatives

prisma 86drizzle 84

Score Breakdown

6 dimensions evaluated with transparent methodology

Performance
68 −32

Efficient query generation with optimization features

  • Query optimization
  • Lazy loading support
  • Batch operations
Why not 100%:
  • −16 N+1 query risk
  • −16 Abstraction overhead
Developer Experience
90 −10

Type-safe queries with good tooling

  • TypeScript support
  • Auto-completion
  • Schema generation
Why not 100%:
  • −5 Complex query limitations
  • −5 Learning curve
Ecosystem
100

Database and framework integrations

  • Multiple database support
  • Framework adapters
  • Migration tools
Maintainability
80 −20

Stable with migration support

  • Migration system
  • Schema versioning
  • Rollback support
Why not 100%:
  • −10 Migration complexity at scale
  • −10 Schema conflicts possible
Cost Efficiency
90 −10

Open-source with no licensing fees

  • Free to use
  • No vendor lock-in
  • Community support
Why not 100%:
  • −5 Learning investment
  • −5 Expertise needed for optimization
Compliance
85 −15

Supports secure database practices

  • Parameterized queries
  • Audit fields support
  • Soft delete
Why not 100%:
  • −7 Security is implementation-dependent
  • −7 No built-in encryption

Compare Alternatives

How Mongoose stacks up against similar technologies

TechnologyOverallPerfDXEcosystem
Current Mongoose866890100
prisma Best tooling, GUI studio86———Compare →
drizzle Type-safe, lightweight84———Compare →
Full comparison with prisma

Sources & Methodology

How we calculate these scores: transparent and reproducible

Deterministic Scoring

Same inputs always produce the same outputs. We use versioned lookup tables, not LLM opinions. Every score is explainable and reproducible.

Learn how it works →
primary

GitHub

Repository activity, stars, contributors, issue resolution time

primary

NPM Registry

Weekly downloads, package dependencies, version history

secondary

OSV Database

Known vulnerabilities, security advisories, CVE tracking

contextual

Community Signals

Stack Overflow activity, Discord engagement, developer surveys

Data version: 1.0.0 Last updated: 2026-01-29 Confidence: 85%

Frequently Asked