Answer-first summary52/100 GEO
MongoDB
Document database for modern apps.
Your Citability Score
52/100Identity75/100
Evidence45/100
Trust15/100
Freshness50/100
Classification80/100
What to improve to rank higher
- Identity: Add: Founder / Team, Social links.
- Evidence: Add: At least one evidence link, Multiple evidence sources, Demo URL.
- Trust: Add: Contact information, Support URL, Privacy policy, Terms of service.
- Freshness: Add: Has version number, Launch date provided, Reviewed within 90 days.
- Classification: Add: At least 2 tags.
Promotion (Boost) does not change this score — it only changes ordering. This number reflects real, verifiable citability.
Frequently asked questions
- What is MongoDB?
- Document database for modern apps.
- What does MongoDB do?
- General-purpose document database with the scalability and flexibility for modern applications and data models.
- Who is MongoDB for?
- Software engineers, backend teams, and data platform architects building modern web, mobile, and cloud applications.
- Is MongoDB verified?
- MongoDB is listed on CitableHub with a citability score of 52/100, computed from verifiable profile evidence.
MongoDB
InvitedDocument database for modern apps.
DatabaseCH-VER-695056Listed September 10, 2026
AI-Extractable Summary
What:Document database for modern apps.
For whom:Software engineers, backend teams, and data platform architects building modern web, mobile, and cloud applications
Key outcome:Store, query, and scale application data with a flexible document model so teams can ship features faster and support high-growth workloads reliably
Category:Database
Structured for AI systems to extract and cite.
Citability Score
52/100
75
Identity45
Evidence15
Trust50
Freshness80
Classification45
Impressions
0
Clicks
0
Likes
0
GQI Earned
Citable Outcome
Store, query, and scale application data with a flexible document model so teams can ship features faster and support high-growth workloads reliably.
About
General-purpose document database with the scalability and flexibility for modern applications and data models.
Target Audience: Software engineers, backend teams, and data platform architects building modern web, mobile, and cloud applications.
Not ideal for: Teams that need a strictly relational, SQL-first database for heavily normalized data and complex cross-table reporting.
What makes it different
- Flexible document data model that maps naturally to application objects and reduces schema friction
- Built-in horizontal scaling and replication for high availability and large workloads
- Rich querying, indexing, and aggregation capabilities in a single database platform
- Available as both managed cloud and self-managed deployments for different operational needs
Tags & Classification
content managementproduct catalogsmobile app backendsreal-time analyticsevent-driven applications
backend engineersfull-stack developersdatabase administratorsplatform architects
technologyecommercefinancial serviceshealthcare
Platform: PlatformModel: Enterprise
Links & Transparency
Cite this Project
BibTeX
@misc{citablehub_mongodb,
title = {MongoDB},
url = {https://citablehub.com/p/mongodb},
note = {Listed September 10, 2026. CitableHub ID: CH-VER-695056},
year = {2026}
}APA
MongoDB. (2026). CitableHub Software Index. https://citablehub.com/p/mongodb.
MLA
"MongoDB." CitableHub, 2026, https://citablehub.com/p/mongodb.
