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Chroma vs ClickHouse 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

Chroma
Ranking in Vector Databases
1st
Average Rating
8.6
Number of Reviews
2
Ranking in other categories
No ranking in other categories
ClickHouse
Ranking in Vector Databases
10th
Average Rating
8.8
Reviews Sentiment
7.8
Number of Reviews
10
Ranking in other categories
Open Source Databases (6th)
 

Mindshare comparison

As of March 2025, in the Vector Databases category, the mindshare of Chroma is 14.1%, down from 16.0% compared to the previous year. The mindshare of ClickHouse is 2.9%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases
 

Featured Reviews

Sameer Bhangale - PeerSpot reviewer
Used for RAG (Retrieval-augmented generation) and provides good documentation
If I have to deploy my application in a scalable environment with lots of data and users, I sometimes need to create multiple instances of my database or have a distributed database across different machines. Using Kubernetes, I can quickly increase the horizontal spread of Milvus because it is containerized and readily available. I don't have to do anything by myself. New users can go to Chroma's 'Get Started' page and follow it like a tutorial. Then, they will be ready to use the solution. Chroma has helped us reduce the overall project post production time. Overall, I rate the solution an eight out of ten.
ArpitShah - PeerSpot reviewer
Open-source freedom with efficient data handling and room for documentation growth
A significant area for improvement is the documentation, which is not comprehensive and lacks centralized resources, making it difficult to find information. Additionally, ClickHouse lacks robust support for transactional data, which limits its use as a primary database. My developer experience could be enhanced through better-organized documentation, perhaps by offering a cheat sheet or centralized guide for common setup and usage scenarios.

Quotes from Members

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

Pros

"The solution's most valuable feature is its documentation, which allows new users to easily learn, deploy, and use it."
"It's very easy to set up and runs easily."
"It's easier to work with big data and calculations using the product."
"ClickHouse is open source with no vendor lock-in, providing excellent freedom to choose any vendor without restrictions."
"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's most valuable feature is a database. It supports portal APIs and offers good flexibility."
"ClickHouse is a user-friendly solution that tries to be compatible with SQL standards."
"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 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."
"The tool is column-based and infinitely scalable."
 

Cons

"The hybrid algorithm needs improvement."
"I think Chroma doesn't have a ready-made containerized image available."
"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."
"We had a lot of troubles while deploying a whole 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."
"One issue is that you need persistent volumes. Otherwise, if one system goes down, you lose data in that cluster."
"The main issue is the lack of documentation. Many features are available but are not fully documented, which can make finding information challenging."
"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."
 

Pricing and Cost Advice

"The current version is an 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."
"The tool is free."
"The tool is open-source."
"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."
"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."
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Top Industries

By visitors reading reviews
Computer Software Company
15%
Financial Services Firm
13%
Manufacturing Company
10%
University
9%
Computer Software Company
25%
Educational Organization
16%
Financial Services Firm
14%
Manufacturing Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Chroma?
The solution's most valuable feature is its documentation, which allows new users to easily learn, deploy, and use it.
What needs improvement with Chroma?
The hybrid algorithm needs improvement.
What is your primary use case for Chroma?
We collect customer's feedback, and then we present it to the clients.
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...
 

Comparisons

 

Overview

 

Sample Customers

1. Google 2. Netflix 3. Amazon 4. Facebook 5. Microsoft 6. Apple 7. Twitter 8. Spotify 9. Adobe 10. Uber 11. Airbnb 12. LinkedIn 13. Pinterest 14. Snapchat 15. Dropbox 16. Salesforce 17. IBM 18. Intel 19. Oracle 20. Cisco 21. HP 22. Dell 23. Samsung 24. Sony 25. LG 26. Panasonic 27. Philips 28. Toshiba 29. Nokia 30. Motorola 31. Xiaomi 32. Huawei
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Find out what your peers are saying about Chroma vs. ClickHouse and other solutions. Updated: January 2025.
839,422 professionals have used our research since 2012.