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ClickHouse vs MongoDB Enterprise Advanced comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 31, 2025

Review summaries and opinions

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

Categories and Ranking

ClickHouse
Ranking in Open Source Databases
6th
Average Rating
8.8
Reviews Sentiment
7.8
Number of Reviews
11
Ranking in other categories
Vector Databases (10th)
MongoDB Enterprise Advanced
Ranking in Open Source Databases
4th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
82
Ranking in other categories
NoSQL Databases (1st), Managed NoSQL Databases (5th)
 

Mindshare comparison

As of October 2025, in the Open Source Databases category, the mindshare of ClickHouse is 5.7%, up from 1.2% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 4.9%, up from 4.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases Market Share Distribution
ProductMarket Share (%)
MongoDB Enterprise Advanced4.9%
ClickHouse5.7%
Other89.4%
Open Source Databases
 

Featured Reviews

Aswini Atibudhi - PeerSpot reviewer
Provides real-time data insights with high flexibility and responsive support
The basic challenge for ClickHouse is the documentation, which isn't ideal, but it's mature and stable with more columnar storage, compression, and parallel processing, making it the best for OLAP. In terms of improvements, it's not designed for very frequent small writes, making it less scalable in write-intensive workloads, and it's not flourishing in transactional use cases or when ingesting streaming data, such as batching or buffering, which is something ClickHouse will improve.
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…

Quotes from Members

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

Pros

"ClickHouse is much faster than traditional databases like MySQL and MongoDB. Its column-row searching strategy makes it very efficient. With ClickHouse, we can manage multiple databases, automatically insert data from other databases and delete data as needed. It supports real-time query performance, allowing simultaneous data insertion and retrieval. ClickHouse has improved significantly over the past two years, adding more functions and queries, as well as top functionality."
"The tool is column-based and infinitely scalable."
"The tool's most valuable feature is a database. It supports portal APIs and offers good flexibility."
"It's easier to work with big data and calculations using the product."
"The best thing about the tool is that I can set it up on my computer and run queries without depending on the cloud. This is why I use it every day."
"ClickHouse is open source with no vendor lock-in, providing excellent freedom to choose any vendor without restrictions."
"We faced a challenge with deploying ClickHouse onto Kubernetes. Recently, we've been using ClickHouse Cloud, and the main issue is the high cost of the cloud service. The pricing isn't very competitive, especially for startups. I would instead buy a server and self-host if I have enough disk space. Besides that, ClickHouse has done very well, with clear goals and effective execution."
"The main feature of ClickHouse is the optimizer because we had too many records to deduplicate, and the optimizer took this task by itself."
"I like the schemaless architecture that it follows. I also like the sharding that it provides."
"The integration capabilities of MongoDB are fine for the solutions that we use in our company."
"The aggregation framework is very powerful when elaborating on data."
"MongoDB has a simple data-loading interface."
"It's easy to use."
"The most valuable feature of MongoDB is the NoSQL database. In a SQL database, we need to join data together with a unique ID amongst other things, but in MongoDB, it's not required. We can directly receive all the information. The performance is very good. Additionally, they have frequent updates."
"I found that MongoDB is most valuable for storing school-related queries. It's also user-friendly, and I found no difficulty accessing it. Setting it up is easy too."
"We find the query and speed very valuable."
 

Cons

"In terms of improvements, it's not designed for very frequent small writes, making it less scalable in write-intensive workloads, and it's not flourishing in transactional use cases or when ingesting streaming data, such as batching or buffering, which is something ClickHouse will improve."
"Initially, I faced challenges integrating ClickHouse, particularly with inserting data from ActiveMQ, which caused duplicates. However, after adjusting the ClickHouse settings, the issue was resolved and there were no more duplicates."
"I would like ClickHouse to work more on integration with third-party tools."
"If you join our team, it should be easy for you to use ClickHouse, especially if you are a developer. However, you need to read the documentation and understand the problems you are trying to solve."
"There aren't too many improvements I'd suggest for ClickHouse as it covers all my needs. There are just a few technical issues. For example, sometimes, when you want to get unique values and use certain tables, they don't work as expected. But it's not a major problem."
"There are some areas where ClickHouse could improve. Specifically, we encountered incompatibilities with its SQL syntax when migrating queries from MySQL or SQL to ClickHouse. This difference in details made it challenging to figure out the exact issues. Additionally, we faced difficulties due to the lack of a proper Django driver for ClickHouse, unlike MySQL, which Django supports out of the box."
"One issue is that you need persistent volumes. Otherwise, if one system goes down, you lose data in that cluster."
"We had a lot of troubles while deploying a whole cluster."
"The performance could be faster."
"Sometimes, the tool goes down temporarily. There are some stability issues in the product."
"We'd like information about client onboarding experience and success stories. It would help to have something to show to internal stakeholders."
"The stability could be better."
"Actually, with MongoDB, it's difficult to calculate the return on investment; it's too expensive for our use."
"Lacks sufficient scalability and elasticity."
"It could be much more flexible like SequoiaDB. I would like to see more flexibility in the next release, especially when working with Microsoft Windows. A lot of people struggle with MongoDB because of their Windows versions. But Linux is faultless and mostly runs nicely."
"MongoDB should improve its data loading part."
 

Pricing and Cost Advice

"ClickHouse Cloud is not expensive compared to other databases, costing a few dollars per month while providing fast performance."
"For pricing, if you use the self-hosted version, it would be free. Cloud services pricing would be an eight out of ten. I try to minimize costs but still have to monitor usage."
"The tool is open-source."
"The tool is free."
"If you have an in-house deployment on Kubernetes or something, it's going to be very cheap since you'll be managing everything."
"We used the free, community version of ClickHouse."
"ClickHouse has an open-source version, which is free to use and has almost all the features."
"MongoDB's pricing is reasonable."
"I chose MongoDB because it is cost-effective compared to Oracle, which can be expensive. In addition, MongoDB has good performance and has not caused any issues while working with it. It has been a good choice for me."
"We use the open-source version, which is available to use free of charge."
"I believe that the licensing fees are paid on a yearly basis."
"This is an open-source solution."
"The pricing is normal. Price-wise, the product is not too much expensive."
"You only have to pay for the paid version, not the open-source version."
"It's open-source."
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Top Industries

By visitors reading reviews
Computer Software Company
20%
Financial Services Firm
17%
Educational Organization
8%
Manufacturing Company
8%
Financial Services Firm
15%
Computer Software Company
11%
Manufacturing Company
7%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Large Enterprise5
By reviewers
Company SizeCount
Small Business36
Midsize Enterprise13
Large Enterprise37
 

Questions from the Community

What is your experience regarding pricing and costs for ClickHouse?
ClickHouse is open source without direct fees, unlike other databases that have hidden fees or restrict hosting to their platforms. The open-source nature of ClickHouse allows for complete flexibil...
What needs improvement with ClickHouse?
The basic challenge for ClickHouse is the documentation, which isn't ideal, but it's mature and stable with more columnar storage, compression, and parallel processing, making it the best for OLAP....
What is your primary use case for ClickHouse?
I have experience in ClickHouse ( /products/clickhouse-reviews ), and we also use Apache Druid ( /products/druid-reviews ), which has corporate support from Druid ( /products/druid-reviews ), along...
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: September 2025.
872,778 professionals have used our research since 2012.