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. Additionally, 100% of ClickHouse users are willing to recommend the solution, compared to 92% of MongoDB users who would recommend it.

ClickHouse

Read 9 ClickHouse reviews

345 Views
277 Comparison Views

100% willing to recommend

MongoDB

Read 76 MongoDB reviews

2,337 Views
1,680 Comparison Views

92% willing to recommend

ClickHouse

MongoDB

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between ClickHouse and MongoDB based on real PeerSpot user reviews.

Find out in this report how the two Open Source Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed ClickHouse vs. MongoDB Report (Updated: October 2024).

Buyer's Guide

ClickHouse vs. MongoDB

October 2024

Download the complete report

Helped 814,649 peers since 2012

Categories and Ranking

ClickHouse

Ranking in Open Source Databases

8th

Average Rating

8.8

Number of Reviews

Ranking in other categories

Vector Databases (11th)

MongoDB

Ranking in Open Source Databases

5th

Average Rating

8.2

Number of Reviews

Ranking in other categories

NoSQL Databases (1st), Managed NoSQL Databases (7th)

Featured Reviews

Dmitriy Yugin

Senior Data/Web Analyst at Raiffeisen Bank

Jul 8, 2024

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.

Read full review

Hamidul Islam

Senior Consultant at Infosys

Jan 20, 2023

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…

Read full review

Quotes from Members

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

Pros

"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."

"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."

"It's easier to work with big data and calculations using the product."

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

"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."

More ClickHouse pros

"The integration capabilities of MongoDB are fine for the solutions that we use in our company."

"MongoDB has a simple data-loading interface."

"I like that MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."

"The solution does not hold data in tabular format like SQL does but rather clusters data so that it can link on a large scale."

"I think that MongoDB isn't too structured, and that's good for our technical team because they are able to search through the database better than if they are using SQL Server."

"It's easy to add and remove things in MongoDB. You can alter the tables. MongoDB is faster at reading, slower at writings."

"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."

"MongoDB is relatively fast compared to relational databases."

More MongoDB pros

Cons

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

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

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

"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."

"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."

"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."

More ClickHouse cons

"It could be more stable. It would be better if it were more user-friendly like Oracle, which is very easy. For example, creating an index is simple in Oracle. In MongoDB, it's quite challenging to do that. Performance could be better. It's fast and good, but you cannot put every application that you would like to in MongoDB."

"The improvements could be made to intelligence to detect disk storage and prevent MongoDB from crashing."

"The scalability of the solution has room for improvement."

"I feel that most people don't know a lot about MongoDB, so maybe they could add some more documentation and tutorials."

"Its security features can be better. Sometimes, my higher authority says that we are not going to use MongoDB because it doesn't provide that much security for the RDBMS or relational data that we use for transactions. Instead of MongoDB, we will use Oracle Database because for a transactional service, you have to rely on RDBMS ACID properties. I would love to work on MongoDB by using my mobile phone. When I am working remotely or traveling and have some instances deployed on my server, I should be able to check through my mobile whether all the data is being pulled. GitHub has a similar feature, where it lets you read from the laptop, and you can also pull and push with your mobile phone. I would request MongoDB to provide such a feature. Basically, I want a mobile version for both iOS and Android versions."

"I rate the support from MongoDB a four out of five."

"MongoDB should better support small and medium companies. There are a lot of clients out there that are interested, however, they need something lighter and less complex and something not so expensive upfront."

"The solution should more easily integrate with custom code."

More MongoDB cons

Pricing and Cost Advice

"The tool is open-source."

"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 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."

"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 free."

"MongoDB is an open-source solution."

"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."

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

"You only have to pay for the paid version, not the open-source version."

"There is an annual subscription for the use of this solution."

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

"It's open-source."

"MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."

More MongoDB pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Open Source Databases solutions are best for your needs.

See recommendations

814,649 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Computer Software Company

28%

Educational Organization

18%

Manufacturing Company

University

Financial Services Firm

16%

Computer Software Company

14%

Manufacturing Company

University

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...

See all answers

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?

The free tools, like MongoDB Compass, could be enhanced. This is especially relevant for the IDEs or similar tools.

See all answers

Comparisons

OpenSearch vs ClickHouse

Compared 25% of the time

Milvus vs ClickHouse

Compared 17% of the time

SingleStore vs ClickHouse

Compared 14% of the time

Cassandra vs ClickHouse

Compared 10% of the time

Pinecone vs ClickHouse

Compared 4% of the time

More ClickHouse Competitors

InfluxDB vs MongoDB

Compared 27% of the time

Couchbase vs MongoDB

Compared 16% of the time

Cassandra vs MongoDB

Compared 8% of the time

ScyllaDB vs MongoDB

Compared 7% of the time

Oracle Berkeley DB vs MongoDB

Compared 5% of the time

More MongoDB Competitors

Product Reports

Buyer's Guide

ClickHouse

November 2024

Download ClickHouse product report

Buyer's Guide

MongoDB

October 2024

Download MongoDB product report

Learn More

ClickHouse

MongoDB

Overview

ClickHouse is the fastest and most resource efficient open-source database for real-time apps and analytics.
ClickHouse supports all the data sources you need to power your apps and use cases that require exceptional performance.
ClickHouse uses all available system resources to their full potential to process each analytical query as fast as possible.
ClickHouse runs on every environment, whether it’s on your machine or in the cloud.

Headquartered in New York, MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Built by developers, for developers, our developer data platform is a database with an integrated set of related services that allow development teams to address the growing requirements for today's wide variety of modern applications, all in a unified and consistent user experience. MongoDB has tens of thousands of customers in over 100 countries. The MongoDB database platform has been downloaded hundreds of millions of times since 2007, and there have been millions of builders trained through MongoDB University courses. To learn more, visit www.mongodb.com.

MongoDB Features

MongoDB has many valuable key features. Some of the most useful ones include:

Load balancing: MongoDB supports large-scale load balancing via horizontal scaling features like replication and sharding.

Ad-hoc queries: With this feature, developers are able to update ad-hoc queries in real time.

Sharding: With MongoDB, sharding allows for much greater horizontal scalability, with queries that are directed to the correct shard based on specific shard keys.

Indexing: MongoDB allows indexing to be created on demand, accommodating real-time, ever-changing query patterns and application requirements. They can also be declared on any field within any document, including those nested within arrays.

Replication: MongoDB’s replication feature enables you to deploy multiple servers for disaster recovery and backup, which helps increase data availability and stability.

MongoDB Benefits

There are many benefits to implementing MongoDB. Some of the biggest advantages the solution offers include:

Horizontal architecture: Because MongoDB is designed with horizontal architecture, it is easy to scale.

Developer-friendly: Being that MongoDB is a document data model with NoSQL, developers are able to work faster. In addition, MongoDB gives developers a number of useful out-of-the-box capabilities, whether you need to run privately on site or in the public cloud.

Cloud-based: Because MongoDB is a full cloud-based application data platform, you gain access to a collection of services that can integrate nicely with your database.

Powerful analytics: MongoDB is designed to make data easy to access, and also allows you to perform complex analytics and querying.

High performance: With MongoDB, information can be embedded inside a single document rather than relying on expensive join operations from traditional relational databases.

Easy to install: MongoDB has an intuitive UI, making it easy to install. You can install the community or enterprise version directly on a server, create your own container, or use a pre-built community one.

Cost-effective: MongoDB gives you the option to choose an instance size that fits your current needs to help you keep your costs at a minimum.

Reviews from Real Users

Below are some reviews and helpful feedback written by PeerSpot users currently using the MongoDB solution.

PeerSpot user Deepak K., Managing Director at SimSol Technologies And Services Pvt Ltd., says, “The solution is a very dynamic product. It becomes extremely easy for us to support user requirements and we also make use of the simplicity of a cloud redeployment.” He goes on to add, “The solution is easy to deploy, and the product can scale quite well. The solution's most important aspect is its seamless database. The solution offers excellent documentation.”

A Senior Associate at a financial services firm mentions, “The most valuable feature of the solution is the ability to easily store documentation regarding structures. We can easily connect to MongoDB and search without transformation, without joining. If we want to use a simple search it's really fast. The initial setup isn't really that complex. The solution is pretty stable overall.”

Sample Customers

Information Not Available

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

Buyer's Guide

ClickHouse vs. MongoDB

October 2024

Free Report: ClickHouse vs. MongoDB

Find out what your peers are saying about ClickHouse vs. MongoDB and other solutions. Updated: October 2024.

DOWNLOAD NOW

814,649 professionals have used our research since 2012.

See our ClickHouse vs. MongoDB report.

See our list of best Open Source Databases vendors.

We monitor all Open Source Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.