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ClickHouse vs MongoDB Enterprise Advanced comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 23, 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
6.8
ClickHouse boosts productivity with cost and time savings, enhancing database performance and developer efficiency significantly despite unspecified savings.
Sentiment score
5.5
ROI from MongoDB Enterprise Advanced varies significantly; some see gains, others don't, with the community version as a cheaper alternative.
I estimate we save four to five hours per person per week due to this efficiency, translating to around 20 to 25 hours saved monthly for each individual.
AIML engineer at a tech services company with 11-50 employees
We could reduce the amount of employees needed when we migrated to ClickHouse Cloud.
Founder at a tech services company with 11-50 employees
With ClickHouse, we didn't need to spend much on resources, cutting costs by around 25 to 30%.
Associate software architect at a tech services company with 11-50 employees
Actually, with MongoDB, it's difficult to calculate the return on investment; it's too expensive for our use.
Architecte Cloud at Visiativ SA
I would say we see value in money and return on investment with MongoDB Enterprise Advanced.
Co-Founder at Vsigma IT Labs Pvt Ltd
 

Customer Service

Sentiment score
6.6
ClickHouse offers knowledgeable support, with cloud users praising responsiveness, while community resources aid open-source user self-reliance.
Sentiment score
6.2
MongoDB Enterprise Advanced support varies; some praise its responsiveness, while others rely on internal resources or community forums.
If more timely support could be provided during critical issues, situations could have been resolved much more quickly, saving considerable time.
Level 2 Software Engineer at a computer software company with 201-500 employees
When we faced any challenges, the ClickHouse support team provided helpful resolutions.
AIML engineer at a tech services company with 11-50 employees
We utilize AVN ClickHouse, which is effectively managed by AVN, providing bug fixes and developing new functionalities along with architecture reviews.
Distinguished AI Leader at Walmart Global Tech at Walmart
We have received fairly good support whenever we reached out to the technical teams; they were prompt.
Co-Founder at Vsigma IT Labs Pvt Ltd
 

Scalability Issues

Sentiment score
8.1
ClickHouse is praised for its scalability, efficiently handling large data volumes in distributed systems with solutions like AWS and Kubernetes.
Sentiment score
7.6
MongoDB Enterprise Advanced is scalable and flexible for large users, but some face cost and configuration challenges.
The vertical scalability is impressive, with high insert throughput, allowing millions of rows per second with low latency.
AIML engineer at a tech services company with 11-50 employees
ClickHouse is highly scalable.
Software Analyst at CLSA
The scalability of ClickHouse is great.
Senior Software Engineer at a wholesaler/distributor with 1,001-5,000 employees
In CosmoDB, the scalability is much better than with the MongoDB ReplicaSet models.
Architecte Cloud at Visiativ SA
MongoDB is highly scalable.
Head Of Analytics at Mjunction Services
Overall, on a scale of one to ten, I would rate MongoDB an eight; it's mostly because we're still running a monolithic environment on old hardware, so there are some limitations with read-write access.
General Manager at Lytwave
 

Stability Issues

Sentiment score
7.7
ClickHouse offers stable, efficient performance for large data sets, with some concerns about memory use and development inconsistencies.
Sentiment score
7.6
MongoDB Enterprise Advanced is stable, reliable, and adaptable, with high ratings despite minor bugs and room for improvement.
I can confidently say that it is very consistent and stable even when handling high volume loads and real-time streaming analytics across financial and operational domains.
AIML engineer at a tech services company with 11-50 employees
ClickHouse handles large volumes of data efficiently.
Software Analyst at CLSA
ClickHouse is stable, as we did not encounter stability issues in production.
Software Development Engineer at a tech vendor with 201-500 employees
It's pretty much stable; we have not faced any major challenges or difficulties with MongoDB Enterprise Advanced.
Co-Founder at Vsigma IT Labs Pvt Ltd
 

Room For Improvement

ClickHouse users seek improved documentation, integration enhancements, better cloud pricing, and solutions for operational complexity and SQL compatibility issues.
MongoDB Enterprise Advanced needs better security, integration, documentation, and scalability, while addressing stability, transactions, and TypeScript support issues.
Another challenge is the lack of robust support for transactional databases, which limits its use as a primary database.
Software Analyst at CLSA
ClickHouse should be able to import data from other types of sources like Parquet and Iceberg tables and all the new upcoming data formats.
Senior Software Engineer at Karvy Fintech
My experience with ClickHouse's documentation is that it needs improvement; I think it can be made more beginner-friendly, while the community support is really good.
Founder at a tech services company with 11-50 employees
While solutions for other databases like SQL or PostgreSQL already exist, MongoDB requires additional integrations for developing AI solutions.
Head Of Analytics at Mjunction Services
We have not contracted the security options in our contract because they're too expensive; thus, we implement just encrypted databases and not the security pack.
Architecte Cloud at Visiativ SA
From the AWS standpoint, if robust integration and data warehouse integration specific tools are added in the advanced suite, that would definitely be helpful.
Co-Founder at Vsigma IT Labs Pvt Ltd
 

Setup Cost

ClickHouse offers flexible, cost-efficient pricing with open-source and cloud options, though lacks Windows support, balancing cost and performance.
MongoDB Enterprise Advanced pricing varies by size, with free Community Edition and budget-friendly cloud options like MongoDB Atlas.
My experience with pricing, setup cost, and licensing indicates that it is very expensive—ClickHouse is the most expensive option.
Founder at a tech services company with 11-50 employees
ClickHouse is open source with no hidden fees, offering cost-effective data management.
Software Analyst at CLSA
I found ClickHouse's pricing to be efficient in comparison to other services such as Redshift.
AIML engineer at a tech services company with 11-50 employees
We use the free version of MongoDB, so there are no licensing costs.
Head Of Analytics at Mjunction Services
We have to pay approximately 2,000 euros per month for MongoDB.
Architecte Cloud at Visiativ SA
For a small company, the cost of MongoDB Enterprise Advanced is reasonable, but for heavy data usage, we see a little bit of cost pressure but it's acceptable.
Co-Founder at Vsigma IT Labs Pvt Ltd
 

Valuable Features

ClickHouse provides fast, scalable data storage and retrieval with seamless integration, open-source flexibility, and strong community support.
MongoDB Enterprise Advanced excels in scalability, flexibility, NoSQL capabilities, fast performance, and seamless integration, enhancing data management efficiency.
ClickHouse has reduced our storage cost and improved our 99th percentile latency by 40%.
Senior Software Engineer at Karvy Fintech
For cost optimization, after deploying the cluster on-premises and using S3 Express, approximately 5x cost savings were achieved on data storage.
Level 2 Software Engineer at a computer software company with 201-500 employees
ClickHouse positively impacted our organization by absorbing the whole logging system without hassle, storing logs for six months efficiently.
Associate software architect at a tech services company with 11-50 employees
It offers flexibility in schema adaptation, allowing us to change the schema and add new data points.
Head Of Analytics at Mjunction Services
In ReplicaSet, it's acceptable, but if your workload needs more performance, and you must pass to a Sharding model, it becomes complicated in MongoDB; in Cosmos DB, however, it's simple.
Architecte Cloud at Visiativ SA
MongoDB has definitely helped us improve our network monitoring and reporting dashboard.
General Manager at Lytwave
 

Categories and Ranking

ClickHouse
Ranking in Open Source Databases
4th
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
21
Ranking in other categories
Vector Databases (7th)
MongoDB Enterprise Advanced
Ranking in Open Source Databases
6th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
82
Ranking in other categories
NoSQL Databases (1st), Managed NoSQL Databases (4th)
 

Mindshare comparison

As of January 2026, in the Open Source Databases category, the mindshare of ClickHouse is 6.5%, up from 2.0% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 5.1%, up from 4.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases Market Share Distribution
ProductMarket Share (%)
ClickHouse6.5%
MongoDB Enterprise Advanced5.1%
Other88.4%
Open Source Databases
 

Featured Reviews

Yush Mittal - PeerSpot reviewer
Level 2 Software Engineer at a computer software company with 201-500 employees
Data observability has enabled real‑time analytics and cost savings but needs smoother inserts and cleanup
ClickHouse could be improved concerning data insertion, especially given the high amount of data handled. Constant efforts are made to optimize the features on its own, but with merges and inserts, only a single insert query can be performed allowing for the input of only 100,000 rows per second. It would be beneficial to insert more data and have configurations that are less user-operated. Ideally, ClickHouse would optimize itself to handle these processes automatically, reducing the need to contact the ClickHouse support team for infrastructure optimization. Additionally, delays are experienced when trying to delete databases with corrupt data, taking too much time and causing major outages, which necessitate contacting multiple teams across continents for resolution. The community surrounding ClickHouse also seems limited, providing a reliance on documentation, and there is a scarcity of developers working with ClickHouse, which hinders growth. If ClickHouse were more user-friendly and technically feasible, it would likely see greater expansion in usage.
FG
Architecte Cloud at Visiativ SA
Offers reliable engine for legacy needs but requires enhanced cost management and AI features
While MongoDB is a good product, it is also an expensive product for support, and its scalability is acceptable, but the big problem with MongoDB is the cost. For security in MongoDB, we work with encrypted databases by default, but we have not contracted the security options in our contract because it is too expensive, so we only implement encrypted databases without the security pack, which is very expensive for us; in security, we are at the first steps, just using encrypted databases. I think additional features needed in MongoDB include perhaps vector databases, as I think they are not supported right now.
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
16%
Manufacturing Company
8%
Comms Service Provider
8%
Financial Services Firm
15%
Computer Software Company
9%
Manufacturing Company
8%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise4
Large Enterprise8
By reviewers
Company SizeCount
Small Business35
Midsize Enterprise13
Large Enterprise38
 

Questions from the Community

What is your experience regarding pricing and costs for ClickHouse?
My experience with pricing, setup cost, and licensing was such that the setup costs were just my own bandwidth, while licensing and pricing were done by other members of the team so it was abstract...
What needs improvement with ClickHouse?
ClickHouse can be improved on the documentation side, and there is one small constraint that is mentioned in ClickHouse documentation, which is a partition limit of ten thousand that we hit, so if ...
What is your primary use case for ClickHouse?
My main use case for ClickHouse is data ingestion and for its OLAP properties, as we had use cases where database locks were slowing us down and because ClickHouse does not have that, we chose to u...
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?
For a small company, the cost of MongoDB Enterprise Advanced is reasonable, but for heavy data usage, we see a little bit of cost pressure but it's acceptable. I will not be able to elaborate on th...
What needs improvement with MongoDB?
The integration between data warehouse could be improved. Nowadays, a lot of data is getting generated, so certain ETL flexible scripts with backend database integrations would be an improvement I ...
 

Overview

 

Sample Customers

Information Not Available
Facebook, MetLife, City of Chicago, Expedia, eBay, Google
Find out what your peers are saying about ClickHouse vs. MongoDB Enterprise Advanced and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.