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ClickHouse vs MongoDB comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

ClickHouse
Ranking in Open Source Databases
9th
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
Number of Reviews
74
Ranking in other categories
NoSQL Databases (1st), Managed NoSQL Databases (4th)
 

Featured Reviews

Ayham Al-Adm - PeerSpot reviewer
Jul 28, 2024
Provides good performance for large data manipulation
For about six gigabytes, we took about two seconds to fetch all data at the maximum performance. Otherwise, it was really nice to have a medium CPU or database engine and resources. We don't have a really huge server; it's just traditional servers and traditional resources. ClickHouse is not a straightforward tool for anyone to use. Users need some time to switch from traditional things to study new concepts. We had just one client, Apache Superset. Apache Superset connects with just one connection but with too many requests. We had about 20 to 30 reports on the same page, and they work concurrently. The solution’s documentation is amazing. I would recommend the solution to other users. ClickHouse is the first step to the next generation of databases. When we deal with this amount of data and this performance, I think it's a respected technology. Overall, I rate the solution a nine out of ten.
VB
Feb 3, 2023
Fast, has good clustering, and support is helpful
If we don't have relational data we use MongoDB. It is in JSON format, and we can use JSON. Therefore, without relational data, without type coupling with columns, we can use MongoDB. We use it for queries. The most important aspect is the clustering part. If you have read/write databases, then…

Quotes from Members

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

Pros

"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 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."
"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 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."
"My impression is that the initial setup is straightforward."
"The most valuable feature of MongoDB is the ease of connections, aggregation, and queries."
"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."
"One of the most valuable features of MongoDB is it is Its open source."
"The initial setup isn't really that complex."
"We find the query and speed very valuable."
"We decided to work with MongoDB as its interface is easier to understand and more universal."
"MongoDB is cool. There is a difference between relational databases and newer databases like MongoDB. MongoDB is scalable and fast."
 

Cons

"We had a lot of troubles while deploying a whole cluster."
"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."
"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."
"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."
"ClickHouse has its own concept of database triggers and doesn't support traditional database triggers."
"I would like ClickHouse to work more on integration with third-party tools."
"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."
"It would be much more useful if I have an admin user and a password."
"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."
"The MongoDB documentation can be a little complicated sometimes."
"I have found the solution difficult to operate as an administrator."
"The product's data consistency could be more efficient than traditional SQLs."
"MongoDB would be improved with more integration, particularly for cloud environments like Google BigQuery."
"Some of the solution's transaction capabilities can be improved."
"Our program developer finds it to be a little unstable, development-wise."
 

Pricing and Cost Advice

"The tool is free."
"ClickHouse Cloud is not expensive compared to other databases, costing a few dollars per month while providing fast performance."
"ClickHouse has an open-source version, which is free to use and has almost all the features."
"If you have an in-house deployment on Kubernetes or something, it's going to be very cheap since you'll be managing everything."
"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."
"The tool is open-source."
"We are using the Community Edition of MongoDB."
"I only used the open-source version."
"I currently use the solution's community edition which is free."
"The pricing is normal. Price-wise, the product is not too much expensive."
"It's a community edition, so we do not pay anything."
"We use the open-source version, which is available to use free of charge."
"The product is affordable."
"MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."
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Top Industries

By visitors reading reviews
Educational Organization
25%
Computer Software Company
22%
Financial Services Firm
9%
University
8%
Financial Services Firm
16%
Computer Software Company
14%
University
7%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What is your experience regarding pricing and costs for ClickHouse?
We used the free, self-hosted community version of ClickHouse.
What needs improvement with ClickHouse?
ClickHouse has its own concept of database triggers and doesn't support traditional database triggers.
What is your primary use case for ClickHouse?
Our company had about nine platforms, each with its own database and data. We had to gather all these data in one database and just one table. We used Apache Superset to integrate this database wit...
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?
The pricing is normal. Price-wise, the product is not too much expensive.
What needs improvement with MongoDB?
MongoDB should support TypeScript.
 

Comparisons

 

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 and other solutions. Updated: September 2024.
802,829 professionals have used our research since 2012.