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MongoDB Enterprise Advanced Reviews

Vendor: MongoDB
4.1 out of 5
Badge Ranked 1

What is MongoDB Enterprise Advanced?

Featured MongoDB Enterprise Advanced reviews

MongoDB Enterprise Advanced mindshare

As of December 2025, the mindshare of MongoDB Enterprise Advanced in the NoSQL Databases category stands at 15.9%, down from 21.8% compared to the previous year, according to calculations based on PeerSpot user engagement data.
NoSQL Databases Market Share Distribution
ProductMarket Share (%)
MongoDB Enterprise Advanced15.9%
Redis8.7%
ScyllaDB8.6%
Other66.8%
NoSQL Databases

PeerResearch reports based on MongoDB Enterprise Advanced reviews

TypeTitleDate
CategoryNoSQL DatabasesDec 29, 2025Download
ProductReviews, tips, and advice from real usersDec 29, 2025Download
ComparisonMongoDB Enterprise Advanced vs Microsoft Azure Cosmos DBDec 29, 2025Download
ComparisonMongoDB Enterprise Advanced vs ScyllaDBDec 29, 2025Download
ComparisonMongoDB Enterprise Advanced vs Couchbase EnterpriseDec 29, 2025Download
Suggested products
TitleRatingMindshareRecommending
PostgreSQL4.2N/A96%125 interviewsAdd to research
Firebird SQL3.9N/A86%15 interviewsAdd to research
 
 
Key learnings from peers
Last updated Oct 5, 2025

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

By reviewers
Company SizeCount
Small Business34
Midsize Enterprise12
Large Enterprise32
By reviewers
By visitors reading reviews
Company SizeCount
Small Business147
Midsize Enterprise62
Large Enterprise289
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
11%
Manufacturing Company
8%
University
7%
Educational Organization
5%
Comms Service Provider
5%
Performing Arts
5%
Outsourcing Company
4%
Retailer
4%
Healthcare Company
4%
Government
3%
Transportation Company
3%
Energy/Utilities Company
3%
Hospitality Company
3%
Insurance Company
3%
Media Company
3%
Real Estate/Law Firm
2%
Construction Company
2%
Legal Firm
2%
Non Profit
2%
Wholesaler/Distributor
1%
Consumer Goods Company
1%
Museum Or Institution
1%
Recreational Facilities/Services Company
1%
Pharma/Biotech Company
1%
Marketing Services Firm
1%
Aerospace/Defense Firm
1%
Logistics Company
1%

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MongoDB Enterprise Advanced Reviews Summary
Author infoRatingReview Summary
Architecte Cloud at Visiativ SA3.5I find MongoDB suitable for legacy applications due to its stability and performance, especially in ReplicaSet models. However, it's costly and lacks vector database support. Cosmos DB is preferred for modern AI projects and easier sharding.
Co-Founder at Vsigma IT Labs Pvt Ltd4.0I've used MongoDB Enterprise Advanced for over three years in telecom, valuing its security, performance, and analytics; it's stable, scalable, and easy to implement, though integration with third-party data warehouses could be improved.
Head Of Analytics at Mjunction Services4.0We use MongoDB in a business unit with an ETL pipeline for data extraction. Its flexibility and scalability suit our needs. However, improvement is needed for AI solution integration. We switched from IBM DB2 for a composite database system.
General Manager at Lytwave4.0I've found MongoDB beneficial for improving our network monitoring and reporting dashboards. While not suitable as a standalone solution, it's excellent within templates like LibreNMS. The documentation could be more extensive, and I'm curious about alternative solutions such as Cisco or Linux.
Senior Software Engineer at a computer software company with 10,001+ employees4.0We use MongoDB primarily for handling large volumes of data due to its scalability and user-friendly interface, especially with Atlas. While it's flexible and intuitive for experienced users, improvements in query optimization and beginner-friendly documentation are needed.
Director at Marsh4.0I use MongoDB for storing application data in JSON format, appreciating its lightweight performance and replication features. However, improvements are needed in transaction capabilities and sharding complexity. We're transitioning to Atlas Cloud, and previously considered PostgreSQL.
Senior Consultant at Infosys4.5I used MongoDB in a production-level project with 30 team members, valuing its flexibility and fast performance over Oracle DB and MS SQL. However, integration with custom code could improve, and bundling with Kibana would simplify installations.
Full stack developer at a non-tech company with self employed4.5No summary available