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Couchbase vs MongoDB comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 20, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
8.6
Organizations saw ROI with Couchbase, halving costs, enhancing speed-to-market, and supporting five times more users during peak times.
Sentiment score
5.8
User experiences with MongoDB ROI vary, from significant performance boosts to uncertainty and mixed returns due to adoption challenges.
Reducing costs by half and supporting around five times the non-peak user volume during peak hours.
Couchbase maintained consistent productivity as a finished solution that worked well, saving us time dealing with something less efficient.
 

Customer Service

Sentiment score
7.3
Couchbase customer service is praised for responsiveness but some users face issues, relying on documentation or needing escalations.
Sentiment score
6.5
MongoDB's support is well-regarded for community and online resources, with paid users noting efficient but variable response times.
The support team has been helpful with VNET configuration, Sync Gateway, and other technical issues.
We used the documentation, which was well-written and clear.
 

Scalability Issues

Sentiment score
7.6
Couchbase is scalable and flexible, supporting large data volumes but requires careful node management for effective enterprise-wide use.
Sentiment score
7.6
MongoDB is praised for high scalability, efficient data management, accommodating growth, though challenges exist with replication and heavy workloads.
It was easily scalable, which is expected from a NoSQL database.
Couchbase is extremely scalable, which is critical when handling high throughput and load.
MongoDB is highly scalable.
 

Stability Issues

Sentiment score
7.6
Couchbase offers high performance and reliability, though stability varies; challenges include index usage and bucket creation understanding.
Sentiment score
7.8
MongoDB is highly rated for stability, with minor issues manageable through optimizations, not impacting overall reliability assessments.
We didn't experience any downtime, and the data stayed there consistently.
Couchbase is highly stable, rated at nine out of ten.
 

Room For Improvement

Couchbase users seek improvements in failover, integration, documentation, support, and UI, highlighting challenges in scalability, security, and concurrency management.
MongoDB requires better BI integration, SQL queries, security, stability, scalability, cost-efficiency, and improved documentation and training resources.
I would like Couchbase to provide more functionality via the UI, as some operations, such as time-based scaling, currently require using the API.
This delay meant that data on another database, Elasticsearch, was not always up to date, which could be noticed in the games.
While solutions for other databases like SQL or PostgreSQL already exist, MongoDB requires additional integrations for developing AI solutions.
 

Setup Cost

Couchbase provides flexible licensing, viewed as affordable against Redis, with varied prices and potential additional integration costs.
MongoDB offers affordable options compared to Oracle, with cost-effective cloud subscriptions but potentially pricier on-premises features.
It can range between 25,000 to 40,000 Euros per year depending on company requirements.
We use the free version of MongoDB, so there are no licensing costs.
 

Valuable Features

Couchbase excels in scalability, multi-database paradigms, and performance, surpassing competitors with advanced operations and user-friendly features.
MongoDB offers scalability, flexibility, JSON storage, ease of use, high availability, powerful features, and strong community support for diverse applications.
The best thing about Couchbase is its versatility in handling data.
The most valuable features of Couchbase include the key-value storage due to its speed and the multi-master capability, which provides more speed and scalability compared to master-slave databases.
We didn't experience any downtime.
It offers flexibility in schema adaptation, allowing us to change the schema and add new data points.
 

Categories and Ranking

Couchbase
Ranking in NoSQL Databases
6th
Average Rating
8.2
Reviews Sentiment
7.3
Number of Reviews
16
Ranking in other categories
No ranking in other categories
MongoDB
Ranking in NoSQL Databases
1st
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
79
Ranking in other categories
Open Source Databases (5th), Managed NoSQL Databases (9th)
 

Mindshare comparison

As of May 2025, in the NoSQL Databases category, the mindshare of Couchbase is 10.1%, down from 11.3% compared to the previous year. The mindshare of MongoDB is 17.4%, down from 26.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
NoSQL Databases
 

Featured Reviews

Ravi_Singh  - PeerSpot reviewer
Supports multiple data models and offers AI capabilities
With some of the operations, we used to face some challenges with scalability. Although it worked pretty well, in some scenarios, we noticed issues where the replications and the sharding were not happening correctly. In recent versions, we also faced some issues in terms of enabling advanced operations like FTS and vectors. Although it works pretty well, in some places, we do face challenges, especially on a heavy scale. I think all issues are being addressed in the latest version of Couchbase. The resources are not that good for Couchbase. The tool's documentation is pretty extensive, but if you go for any kind of courses or tutorials, there are very limited resources available. It also becomes a little bit challenging for new people to get onboard into it. MongoDB and other such open-source database tools perform really well as they're really widely adopted, and they have resources available to get you onboarded pretty quickly. I think that we do face some challenges with Couchbase, but luckily, we have the tool's enterprise version solution, so we get all the support from the product team.
Uzair Faruqi - PeerSpot reviewer
Transforms data flow with adaptable schema and smooth public cloud deployment
One of our business units uses MongoDB, and we developed an ETL pipeline that extracts data from MongoDB and transfers it into our data warehouse MongoDB is a NoSQL database that is similar to a document database. It offers flexibility in schema adaptation, allowing us to change the schema and…
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
15%
Manufacturing Company
6%
Retailer
6%
Financial Services Firm
17%
Computer Software Company
15%
University
7%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What needs improvement with Couchbase?
I would like Couchbase to provide more functionality via the UI, as some operations, such as time-based scaling, currently require using the API. While I find Couchbase's feature set to be generall...
What is your primary use case for Couchbase?
Our primary use case for Couchbase is related to the iGaming industry, particularly for high-performance reads and writes to meet our SLA for high volumes. We have a particular use case where there...
What advice do you have for others considering Couchbase?
Couchbase, especially under high load conditions, is imperative for providing a great user experience due to its stability and scalability, which reduces costs and scales efficiently. I rate Couchb...
What do you like most about MongoDB?
MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.
What is your experience regarding pricing and costs for MongoDB?
We use the free version of MongoDB, so there are no licensing costs.
What needs improvement with MongoDB?
There is room for improvement in integrating MongoDB with agentive AI solutions. While solutions for other databases like SQL or PostgreSQL ( /products/postgresql-reviews ) already exist, MongoDB r...
 

Comparisons

 

Overview

 

Sample Customers

Amadeus, Cisco, Comcast, LinkedIn, GE
Facebook, MetLife, City of Chicago, Expedia, eBay, Google
Find out what your peers are saying about Couchbase vs. MongoDB and other solutions. Updated: April 2025.
851,371 professionals have used our research since 2012.