MongoDB Customer Reviews 2026 | Transaction Data Store

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MongoDB

Composite Score

7.9 /10

CX Score

8.1 /10

9 Reviews Write a Review

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What is MongoDB?

The developer data platform that provides the services and tools necessary to build distributed applications fast, at the performance and scale users demand.

Company Details

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MongoDB Ratings

Real user data aggregated to summarize the product performance and customer experience.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

91 Likeliness to Recommend

100 Plan to Renew

83 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+98 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love MongoDB?

0% Negative

9% Neutral

91% Positive

Pros

Helps Innovate
Continually Improving Product
Performance Enhancing
Enables Productivity

Feature Ratings

Average 84

High Speed & Online Transaction Processing

Data Management

Distributed Processing

Data Backup

Database Management

Data Protection and Security

Data Replication

Hybrid Transaction and Analytical Support

Data Monitoring and Administration

High Availability

Cloud/On-Prem/Hybrid Deployment

Vendor Capability Ratings

Average 83

Availability and Quality of Training

Ease of Implementation

Business Value Created

Quality of Features

Usability and Intuitiveness

Breadth of Features

Ease of Data Integration

Ease of IT Administration

Vendor Support

Ease of Customization

Product Strategy and Rate of Improvement

MongoDB Reviews

Manoj M.

Role: Information Technology
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Dec 2024

Easy to implement No-SQL DB with cloud support

Likeliness to Recommend

10 /10

What differentiates MongoDB from other similar products?

Very developer friendly, robust & intuitive. Deployment at large scale is also supported

What is your favorite aspect of this product?

Cloud and Ops Manager. Also MongoDB Atlas is an awesome option for cloud deployment

What do you dislike most about this product?

Nothing to dislike

What recommendations would you give to someone considering this product?

Definitely worth the investment for a nosql db option

Pros

Reliable
Performance Enhancing
Trustworthy
Unique Features

Mukund K.

Role: Information Technology
Industry: Not for Profit
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Nov 2025

Schemaless database

Likeliness to Recommend

10 /10

What differentiates MongoDB from other similar products?

It's easy to use without any schema

What is your favorite aspect of this product?

Easy to integrate in any backend

What do you dislike most about this product?

Nothing that I don't like

What recommendations would you give to someone considering this product?

Used use if you want schemaless database

Pros

Helps Innovate
Trustworthy
Inspires Innovation
Saves Time

Nikki M.

Role: Information Technology
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Nov 2024

Likeliness to Recommend

8 /10

Pros

Helps Innovate
Continually Improving Product
Reliable
Unique Features

Cons

Leverages Incumbent Status

MongoDB

What is MongoDB?

Company Details

Need Assistance?

MongoDB Ratings

91 Likeliness to Recommend

100 Plan to Renew

83 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+98 Net Emotional Footprint

How much do users love MongoDB?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

High Speed & Online Transaction Processing Also referred to as OLTP (Online Transaction processing). OLTP databases include strong support for CRUD operations and ACID compliance.

Data Management Includes data sharing, data storage, records management, and data security.

Distributed Processing Data storage and processing is shared among many physical or virtual independents servers or sites for high volume data with seamless access to large datasets.

Data Backup Includes the creation of duplicate instances to recover from an unplanned data loss. Also, support for high volumes of data processing and data compression.

Database Management Supports multiple data types, data structuring, data retrieval, database customization, and multi-user access.

Data Protection and Security Includes data encryption, data audit, and data compliance.

Data Replication Support for a real-time copy of the database in more than one system to facilitate access to the copy of data from multiple systems without any inconsistencies.

Hybrid Transaction and Analytical Support Includes OLTP and OLAP (Online Analytical Processing). Most OLTP systems support some level of OLAP but very few OLAP systems support OLTP.

Data Monitoring and Administration Includes ability to continuously monitored data quality rules, as well as generate alerts to notify data stewards when they need to address an issue.

High Availability HA DB designed for near-zero downtown by seamless replication of data between environments for uninterrupted real-time access and fail-over capabilities.

Cloud/On-Prem/Hybrid Deployment Supports one or many deployment models - On-prem, cloud or hybrid hosting of the database system.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

MongoDB Reviews

Manoj M.

Easy to implement No-SQL DB with cloud support

Likeliness to Recommend

Pros

Mukund K.

Schemaless database

Likeliness to Recommend

Pros

Nikki M.

Likeliness to Recommend

Pros

Cons

Feature Ratings

High Speed & Online Transaction Processing

Data Management

Distributed Processing

Data Backup

Database Management

Data Protection and Security

Data Replication

Hybrid Transaction and Analytical Support

Data Monitoring and Administration

High Availability

Cloud/On-Prem/Hybrid Deployment

Vendor Capability Ratings

Availability and Quality of Training

Ease of Implementation

Business Value Created

Quality of Features

Usability and Intuitiveness

Breadth of Features

Ease of Data Integration

Ease of IT Administration

Vendor Support

Ease of Customization

Product Strategy and Rate of Improvement