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ClickHouse vs MongoDB comparison

 

Comparison Buyer's Guide

Executive Summary

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
8th
Average Rating
8.8
Number of Reviews
9
Ranking in other categories
Vector Databases (11th)
MongoDB
Ranking in Open Source Databases
5th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
78
Ranking in other categories
NoSQL Databases (1st), Managed NoSQL Databases (9th)
 

Featured Reviews

Dmitriy Yugin - PeerSpot reviewer
Can set it up on computer and run queries without depending on the cloud
The tool is open-source, so you don't need to pay for the software itself. However, you need to consider hardware costs and maintenance. A small company can install it on a company computer. For larger companies, you might need to hire a team for maintenance and consider data safety and privacy issues. Integrating ClickHouse with other tools in our data stack was easy. It has native connections to many tools, such as Google and Amazon cloud solutions, and can easily connect with other databases. For beginners, the ease of use depends on your background. If you're familiar with relational databases, it's easy. If not, you might need to read the documentation or ask for support.
Hamidul Islam - PeerSpot reviewer
Lightweight with good flexibility and very fast performance for searching data
I used the solution in the production level to search data and create education-based tutorials for a project. We had 30 managers, senior architects, tech leads, and software engineers working on the project.  Currently, I use the solution for my personal work.  The solution has good flexibility…

Quotes from Members

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

Pros

"The main feature of ClickHouse is the optimizer because we had too many records to deduplicate, and the optimizer took this task by itself."
"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 a user-friendly solution that tries to be compatible with SQL standards."
"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."
"If you have a real-time basis, you should take a look at ClickHouse because it works on a vector database, and the querying is super fast compared to traditional databases."
"It's easier to work with big data and calculations using the product."
"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."
"One of the most valuable features of MongoDB is it is Its open source."
"MongoDB's best features are scalability, document management, and data security."
"MongoDB stores the JSON data, and it's easy for me to understand because I'm a JavaScript Developer."
"The tool is also user-friendly."
"Scalability seems good. I've never been even close to finding the limits. I've run a couple of notes of redundancy but I've never had any problems with scalability."
"MongoDB is easy to use."
"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."
"MongoDB is a NoSQL tool that gives us much freedom to manipulate how the data works."
 

Cons

"One issue is that you need persistent volumes. Otherwise, if one system goes down, you lose data in that cluster."
"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."
"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."
"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."
"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."
"We had a lot of troubles while deploying a whole cluster."
"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 was a need for integrating relational database capabilities, however, MongoDB has introduced a relational converter that allows conversion between SQL and NoSQL."
"MongoDB could improve by not having so many updates and different versions."
"More stable indexes would be helpful in a future release. That's been an issue for some time. I don't know if it's been fixed now but we transitioned to it because we needed a search index to be able to search for things and if that goes or starts disappearing, we have to move away from that solution. I don't know if they fixed it, last time I had this issue was three years ago so they might have solved it."
"It would be good to have scalability for clusters. For example, if we have three clusters, we should be able to increase to five clusters if required. I am not sure if such a feature is currently there. I hope there is good documentation for this."
"MongoDB would be improved with more integration, particularly for cloud environments like Google BigQuery."
"We'd like technical support to respond faster to queries."
"The stability could be better."
"MongoDB should support TypeScript."
 

Pricing and Cost Advice

"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."
"We used the free, community version of ClickHouse."
"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 open-source."
"ClickHouse has an open-source version, which is free to use and has almost all the features."
"ClickHouse Cloud is not expensive compared to other databases, costing a few dollars per month while providing fast performance."
"The tool is free."
"Our customers pay for yearly licenses for MongoDB."
"If you want support with the solution you will need to purchase a license and not use the open-source version. The license is a little expensive."
"I believe that the licensing fees are paid on a yearly basis."
"MongoDB is an open-source solution."
"You only have to pay for the paid version, not the open-source version."
"MongoDB is a free solution. We wanted to have high availability and the subscription cost was quite expensive because the basic one is free and then when you want to have some other replications or other features you will need to pay money. Overall the solution is expensive."
"The pricing is normal. Price-wise, the product is not too much expensive."
"I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."
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Top Industries

By visitors reading reviews
Computer Software Company
24%
Educational Organization
17%
Financial Services Firm
13%
Manufacturing Company
8%
Financial Services Firm
18%
Computer Software Company
14%
University
6%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What needs improvement with ClickHouse?
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 ce...
What is your primary use case for ClickHouse?
I used ClickHouse to collect data, put it in the database, and then analyze it to find insights. The main advantage is that I can install it on my computer instead of using cloud-based solutions, s...
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?
MongoDB is free of charge. that said, there is also a paid version. We use both free and paid versions.
What needs improvement with MongoDB?
If something is wrong on the cluster, then you need to contact the support team. The stability could be better.
 

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Facebook, MetLife, City of Chicago, Expedia, eBay, Google
Find out what your peers are saying about ClickHouse vs. MongoDB and other solutions. Updated: January 2025.
831,265 professionals have used our research since 2012.