ClickHouse vs MongoDB comparison

ClickHouse and MongoDB are both solutions in the Open Source Databases category. ClickHouse is ranked #8 with an average rating of 8.9, while MongoDB is ranked #5 with an average rating of 8.1. ClickHouse holds a 2.3% mindshare in OSD, compared to MongoDB’s 4.3% mindshare. Additionally, 100% of ClickHouse users are willing to recommend the solution, compared to 92% of MongoDB users who would recommend it.

ClickHouse

Read 10 ClickHouse reviews

546 Views
433 Comparison Views

100% willing to recommend

MongoDB

Read 78 MongoDB reviews

2,042 Views
1,533 Comparison Views

92% willing to recommend

ClickHouse

MongoDB

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Executive SummaryUpdated on Jan 23, 2025

MongoDB and ClickHouse are competing in the database management category. ClickHouse seems to have the upper hand in real-time query performance and handling large-scale data efficiently, whereas MongoDB is more flexible with diverse data structures.

Features: MongoDB provides flexibility, enabling easy data manipulation and support for diverse data types with JSON storage. It has robust community support beneficial for users handling semi-structured data like FHIR. ClickHouse offers excellent real-time query performance with efficient management of large datasets, making it ideal for high-speed aggregations and robust compression capabilities.

Room for Improvement: MongoDB could improve on enterprise integration, indexing, and security features, alongside offering more cost-effective options and transaction management improvements. ClickHouse needs enhancements in integrations with third-party tools and SQL syntax compatibility for better transitions from other systems.

Ease of Deployment and Customer Service: MongoDB offers deployment flexibility with options like Hybrid Cloud, Public Cloud, and On-premises. It has strong open-source community support but lacks direct technical support for the community edition. ClickHouse is mostly deployed on private cloud and on-premises, providing high technical support levels but faces specific integration challenges.

Pricing and ROI: MongoDB's community edition is open-source, but the enterprise version can be costly, yet it provides significant ROI due to its performance benefits. ClickHouse is competitive with its free open-source and affordable cloud versions, offering notable speed and efficiency improvements that deliver high ROI for large data workloads.

To learn more, read our detailed ClickHouse vs. MongoDB Report (Updated: January 2025).

Buyer's Guide

ClickHouse vs. MongoDB

January 2025

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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

Reviews Sentiment

7.8

Number of Reviews

Ranking in other categories

Vector Databases (11th)

MongoDB

Ranking in Open Source Databases

5th

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

NoSQL Databases (1st), Managed NoSQL Databases (9th)

Mindshare comparison

As of February 2025, in the Open Source Databases category, the mindshare of ClickHouse is 2.3%, up from 0.1% compared to the previous year. The mindshare of MongoDB is 4.3%, up from 3.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Open Source Databases

Featured Reviews

Dmitriy Yugin

Senior Data/Web Analyst at Raiffeisen Bank

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.

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Hamidul Islam

Senior Consultant at Infosys

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…

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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."

"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 a user-friendly solution that tries to be compatible with SQL standards."

"The tool's most valuable feature is a database. It supports portal APIs and offers good flexibility."

"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."

"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."

More ClickHouse pros

"The clustering is very good. It allows us to have high availability."

"It is easy to set up."

"It has visible benefits, actually, in terms of price of ownership if you compare it to, for example, Oracle."

"I value the API integrations."

"It is very fast - faster than an SQL or MySQL Server."

"The installation is very stable."

"It is really a pretty easy product to use. It's very reliable, it's proven."

"It is a stable solution. Stability-wise, I rate the solution a nine out of ten...Overall, MongoDB has helped manage and analyze attachment data."

More MongoDB pros

Cons

"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."

"ClickHouse has its own concept of database triggers and doesn't support traditional database triggers."

"We had a lot of troubles while deploying a whole cluster."

"I would like ClickHouse to work more on integration with third-party tools."

"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."

"One issue is that you need persistent volumes. Otherwise, if one system goes down, you lose data in that cluster."

"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 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."

More ClickHouse cons

"Some of the solution's transaction capabilities can be improved."

"The performance of the solution could be improved."

"They could provide more documentation and examples for adding pipeline stages."

"It is important to note that MongoDB has limitations since it can only be used for specific use cases. For example, for master data, I would want to pick keys using an RDBMS, but for attachments, I would choose MongoDB."

"The free tools, like MongoDB Compass, could be enhanced."

"There is a need for improvement in MongoDB's customer support."

"It would be much more useful if I have an admin user and a password."

"MongoDB should support TypeScript."

More MongoDB cons

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."

"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 Cloud is not expensive compared to other databases, costing a few dollars per month while providing fast performance."

"The tool is open-source."

"ClickHouse has an open-source version, which is free to use and has almost all the features."

"At the moment, all customers are using the community version."

"I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."

"It's a community edition, so we do not pay anything."

"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."

"MongoDB is a bit expensive compared to its competitors."

"Our customers pay for yearly licenses for MongoDB."

"There are different licenses available to be purchased, such as individual, premium, or enterprise."

"I only used the open-source version."

More MongoDB pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

25%

Educational Organization

16%

Financial Services Firm

12%

Manufacturing Company

10%

Financial Services Firm

18%

Computer Software Company

14%

University

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What is your experience regarding pricing and costs for ClickHouse?

The tool is open-source.

See all answers

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...

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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...

See all answers

What do you like most about MongoDB?

MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.

See all answers

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.

See all answers

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.

See all answers

Comparisons

OpenSearch vs ClickHouse

Compared 18% of the time

InfluxDB vs ClickHouse

Compared 17% of the time

SingleStore vs ClickHouse

Compared 12% of the time

Milvus vs ClickHouse

Compared 11% of the time

Qdrant vs ClickHouse

Compared 3% of the time

More ClickHouse Competitors

InfluxDB vs MongoDB

Compared 25% of the time

Couchbase vs MongoDB

Compared 14% of the time

Cassandra vs MongoDB

Compared 8% of the time

Milvus vs MongoDB

Compared 6% of the time

More MongoDB Competitors

Product Reports

Buyer's Guide

ClickHouse

February 2025

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Buyer's Guide

MongoDB

February 2025

Download MongoDB product report

Overview

ClickHouse is renowned for its speed, scalability, and real-time query performance. Its compatibility with SQL standards enhances flexibility while enabling integration with popular tools.

ClickHouse leverages a column-based architecture for efficient data compression and real-time analytics. It seamlessly integrates with tools like Kafka and Tableau and is effective in handling large datasets due to its cost-efficient aggregation capabilities. With robust data deduplication and strong community backing, users can access comprehensive documentation and up-to-date functionality. However, improvements in third-party integration, cloud deployment, and handling of SQL syntax differences are noted, impacting ease-of-use and migration from other databases.

What features make ClickHouse outstanding?

Speed and Scalability: Enables rapid deployment and scalability, particularly on Kubernetes.
SQL Compatibility: Aligns with SQL standards for flexible database management.
Column-based Structure: Offers efficient data compression and quick query performance.
Integration Support: Works with Kafka, Tableau, and other popular platforms.
Data Deduplication: Manages complex data duplication efficiently.

What benefits should users consider?

Cost-Efficiency: Reduces expenses while managing large datasets effectively.
Real-Time Analytics: Provides fast data processing for real-time insights.
Flexibility: Offers multiple integration points and compatibility options.
Robust Documentation: Backed by an active development community, ensuring comprehensive support.

ClickHouse is deployed in sectors like telecommunications for passive monitoring and is beneficial for data analytics, logging Clickstream data, and as an ETL engine. Organizations harness it for machine learning applications when combined with GPT. With the ability to be installed independently, it's an attractive option for avoiding cloud service costs.

ClickHouse

MongoDB is a flexible and scalable NoSQL database solution that efficiently handles both structured and unstructured data. It is known for its ease of use, JSON capabilities, and efficient data handling, making it ideal for developer-friendly environments.

MongoDB stands out with features like sharding, geospatial indexing, and its open-source nature. Users find it fast and appreciate its seamless integration into different applications. Despite being powerful, it remains straightforward to set up and use, bolstered by a clustering and aggregation framework that enhances its functionality. While generally appreciated for its cost-effectiveness and broad application compatibility, there is room for improvement in security, enterprise integration, and the creation of more robust training and documentation resources. Enhancing performance and adding support for traditional relational database concepts could also prove beneficial.

What are MongoDB's most important features?

Scalability: Efficiently manages growing data volumes.
Flexibility: Supports structured and unstructured data with ease.
Sharding: Distributes data across multiple servers.
Geospatial Indexing: Enables location-based data handling.
Open-source: Wide community support and customization.

What benefits or ROI should users look for?

Cost-effectiveness: Reduces overall database management expenses.
Ease of Use: Simplifies database setup and maintenance.
Developer-friendly: Accelerates application development with supportive tools.
Scalable Solutions: Adapts to evolving business requirements.

MongoDB finds widespread application across industries like healthcare, logistics, and telecommunications. It efficiently powers IoT platforms, data analytics, and document management systems. Its schema flexibility and JSON storage capabilities make it ideal for real-time processing and multi-server databases, essential for handling large-scale data volumes in modern applications.

MongoDB

Sample Customers

Information Not Available

Facebook, MetLife, City of Chicago, Expedia, eBay, Google

Buyer's Guide

ClickHouse vs. MongoDB

January 2025

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