Try our new research platform with insights from 80,000+ expert users

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 (5th)
 

Mindshare comparison

As of September 2025, in the Open Source Databases category, the mindshare of ClickHouse is 5.3%, up from 0.9% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 4.5%, 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 Advanced4.5%
ClickHouse5.3%
Other90.2%
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."
"The tool's most valuable feature is a database. It supports portal APIs and offers good flexibility."
"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."
"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 main feature of ClickHouse is the optimizer because we had too many records to deduplicate, and the optimizer took this task by itself."
"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."
"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."
"One of the most valuable features of MongoDB is it is Its open source."
"MongoDB's dashboards offer more functionalities and allow you to create a dashboard with MongoDB database data."
"The most valuable feature is the geometric information done with GeoJSON."
"My impression is that the initial setup is straightforward."
"The most valuable features of MongoDB include the flexible schema for storing data, its replication capabilities with high availability through a replica set setup, and horizontal scalability using sharding."
"I value the API integrations."
"We can define security rules at the database level or the cluster level to grant or deny access to particular users."
"The most valuable feature is that you can store unstructured data, which is helpful when you don't know what the best structure should be and you cannot use a relational database because of that."
 

Cons

"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."
"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."
"I would like ClickHouse to work more on integration with third-party tools."
"ClickHouse has its own concept of database triggers and doesn't support traditional database triggers."
"The main issue is the lack of documentation. Many features are available but are not fully documented, which can make finding information challenging."
"One issue is that you need persistent volumes. Otherwise, if one system goes down, you lose data in that cluster."
"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."
"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."
"There should be better integration with other databases."
"It would help if MongoDB offered a light solution for small projects."
"The scalability of the solution has room for improvement."
"There are some problems with bugs appearing in sharding when the data is too high."
"There can be stability issues."
"They could improve the UI and the analytics part."
"The scalability of the product is acceptable, but with MongoDB, the big problem is the cost."
"The solution should more easily integrate with custom code."
 

Pricing and Cost Advice

"ClickHouse has an open-source version, which is free to use and has almost all the features."
"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."
"If you have an in-house deployment on Kubernetes or something, it's going to be very cheap since you'll be managing everything."
"The tool is free."
"ClickHouse Cloud is not expensive compared to other databases, costing a few dollars per month while providing fast performance."
"The tool is open-source."
"We used the free, community version of ClickHouse."
"There are different licenses available to be purchased, such as individual, premium, or enterprise."
"Our customers pay for yearly licenses for MongoDB."
"This is an open-source solution."
"The product is affordable."
"MongoDB is a bit expensive compared to its competitors."
"You only have to pay for the paid version, not the open-source version."
"The pricing is favorable if you opt to install MongoDB on an Amazon EC2 instance as you won't have to pay for the extra Atlas services and can instead manage the scaling yourself. This allows for a cost-effective solution and using MongoDB on a small scale, I have been able to utilize it for free."
"I believe that the licensing fees are paid on a yearly basis."
report
Use our free recommendation engine to learn which Open Source Databases solutions are best for your needs.
867,676 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
21%
Financial Services Firm
18%
Educational Organization
9%
Manufacturing Company
9%
Financial Services Firm
16%
Computer Software Company
11%
University
7%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Large Enterprise5
By reviewers
Company SizeCount
Small Business35
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?
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: September 2025.
867,676 professionals have used our research since 2012.