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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 (11th)
MongoDB Enterprise Advanced
Ranking in Open Source Databases
5th
Average Rating
8.2
Reviews Sentiment
6.6
Number of Reviews
81
Ranking in other categories
NoSQL Databases (1st), Managed NoSQL Databases (8th)
 

Mindshare comparison

As of August 2025, in the Open Source Databases category, the mindshare of ClickHouse is 5.1%, up from 0.7% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 4.1%, up from 4.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
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

"It's easier to work with big data and calculations using the product."
"ClickHouse is very easy to use; one of the good features is that it has joins, which were not present in Druid, and Druid was quite expensive, especially with our applications at Sam's Club utilizing ClickHouse very quickly."
"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 tool is column-based and infinitely scalable."
"ClickHouse is open source with no vendor lock-in, providing excellent freedom to choose any vendor without restrictions."
"The tool's most valuable feature is a database. It supports portal APIs and offers good flexibility."
"ClickHouse is a user-friendly solution that tries to be compatible with SQL standards."
"The main feature of ClickHouse is the optimizer because we had too many records to deduplicate, and the optimizer took this task by itself."
"One of the most valuable features of MongoDB is it is Its open source."
"Sharding is an excellent feature of MongoDB."
"MongoDB is cool. There is a difference between relational databases and newer databases like MongoDB. MongoDB is scalable and fast."
"The most valuable features of MongoDB are the variety of translations available and the ability to deploy it on the cloud is useful. The cloud users can access the data, work on the data, and if they want to import or manipulate some data they can."
"Its flexibility, and cost. It is reasonably priced."
"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."
"The Dynamic Application is a valuable feature."
"The most valuable feature of MongoDB is the ease of connections, aggregation, and queries."
 

Cons

"I would like ClickHouse to work more on integration with third-party tools."
"The main issue is the lack of documentation. Many features are available but are not fully documented, which can make finding information challenging."
"The aggregation capability is a valuable feature. It's highly efficient, allowing us to review entire transaction histories and user activities in the market. We've tried MongoDB, Postgres, MariaDB, and BigQuery, but ClickHouse is the most cost-efficient solution for collecting data at high speeds with minimal cost. We even used ClickHouse Cloud for a month, and it proved to be a great setup, especially for startups looking to handle big data. For example, if there is a need for 2-4 terabytes of data and around 40 billion rows with reasonable computing speed and latency, ClickHouse is ideal. Regarding the real-time query performance of ClickHouse, when using an API server to query it, I achieved query results in less than twenty milliseconds in some of my experiments with one billion rows. However, it depends on the scenario since ClickHouse has limitations in handling mutations. Additionally, one of ClickHouse's strengths is its compression capability. Our experimental server has only four terabytes, and ClickHouse effectively compresses data, allowing us to store large amounts of data at high speed. This compression efficiency is a significant advantage of using ClickHouse."
"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."
"ClickHouse has its own concept of database triggers and doesn't support traditional database triggers."
"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."
"You need integration with other tools to run the query in MongoDB."
"There should be better integration with other databases."
"It has certain limitations when it comes to handling hierarchical data, enforcing relationships, and performing complex joins, which should be taken into account when designing databases for applications with intricate data requirements."
"MongoDB can improve large-size video or media frame operations. There are a lot of customers who want to upload media frames and video games but there is some difficulty. In MongoDB, we are looking out for solutions that are for large-size media files that can be saved and navigated efficiently."
"There is room for improvement in integrating MongoDB with agentive AI solutions."
"Simplifying the aggregation framework would be an improvement."
"Our program developer finds it to be a little unstable, development-wise."
"It would help if MongoDB offered a light solution for small projects."
 

Pricing and Cost Advice

"If you have an in-house deployment on Kubernetes or something, it's going to be very cheap since you'll be managing everything."
"ClickHouse Cloud is not expensive compared to other databases, costing a few dollars per month while providing fast performance."
"The tool is free."
"ClickHouse has an open-source version, which is free to use and has almost all the features."
"The tool is open-source."
"We used the free, community version of ClickHouse."
"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."
"At the moment, all customers are using the community version."
"MongoDB's pricing is reasonable."
"MongoDB is a bit expensive compared to its competitors."
"There is an annual subscription for the use of this solution."
"You only have to pay for the paid version, not the open-source version."
"This is an open-source solution."
"MongoDB is an open-source product."
"It's open-source."
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Top Industries

By visitors reading reviews
Computer Software Company
23%
Financial Services Firm
17%
Educational Organization
10%
Manufacturing Company
9%
Financial Services Firm
16%
Computer Software Company
12%
Manufacturing Company
8%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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?
We pay approximately 2,000 euros per month for MongoDB.
What needs improvement with MongoDB?
I'm not sure about the documentation or the knowledge bases available for MongoDB because I don't interact with it at that level, but I would say it's minimal and could be improved. I am not experi...
 

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: July 2025.
864,155 professionals have used our research since 2012.