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Chroma vs ClickHouse comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 1, 2026

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
17th
Average Rating
8.6
Reviews Sentiment
5.6
Number of Reviews
2
Ranking in other categories
No ranking in other categories
ClickHouse
Ranking in Vector Databases
8th
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
21
Ranking in other categories
Open Source Databases (3rd)
 

Mindshare comparison

As of August 2026, in the Vector Databases category, the mindshare of Chroma is 6.2%, down from 11.6% compared to the previous year. The mindshare of ClickHouse is 5.7%, up from 3.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases Mindshare Distribution
ProductMindshare (%)
ClickHouse5.7%
Chroma6.2%
Other88.1%
Vector Databases
 

Featured Reviews

GagandeepSingh1 - PeerSpot reviewer
Data Science Manager at Zykrr
A simple and easy to use solution that can run on a two-course CPU
We collect customer's feedback, and then we present it to the clients It's very easy to set up and runs easily. It doesn't require great hardware and can run on a two-course CPU with four gigs. The hybrid algorithm needs improvement. I have been using Chroma for one year.  I had some trouble…
reviewer2785038 - PeerSpot reviewer
Senior Data Engineer at a transportation company with 501-1,000 employees
Data observability has enabled real‑time analytics and cost savings but needs smoother inserts and cleanup
ClickHouse could be improved concerning data insertion, especially given the high amount of data handled. Constant efforts are made to optimize the features on its own, but with merges and inserts, only a single insert query can be performed allowing for the input of only 100,000 rows per second. It would be beneficial to insert more data and have configurations that are less user-operated. Ideally, ClickHouse would optimize itself to handle these processes automatically, reducing the need to contact the ClickHouse support team for infrastructure optimization. Additionally, delays are experienced when trying to delete databases with corrupt data, taking too much time and causing major outages, which necessitate contacting multiple teams across continents for resolution. The community surrounding ClickHouse also seems limited, providing a reliance on documentation, and there is a scarcity of developers working with ClickHouse, which hinders growth. If ClickHouse were more user-friendly and technically feasible, it would likely see greater expansion in usage.

Quotes from Members

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

Pros

"It's very easy to set up and runs easily."
"The solution's most valuable feature is its documentation, which allows new users to easily learn, deploy, and use it."
"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."
"ClickHouse provides responses within a few seconds, typically two to three seconds, which is impressive."
"We moved away from Redshift to ClickHouse because of the integration and the flexibility that it provides, which best suited our use case."
"ClickHouse has positively impacted my organization by replacing PostgreSQL, which required complex foreign tables for queries, and with ClickHouse we now have Cube.js for easier data visualization."
"There is no better option than ClickHouse in all OLAP-based databases, so I think it is best to use ClickHouse in that regard."
"ClickHouse Cloud saves a lot of time for our DevOps engineers since there isn't much deployment involved and everything is served directly, leading to increased efficiency and productivity."
"Regarding performance, we tried multiple solutions when Kibana was failing, including PostgreSQL, MySQL, and even MongoDB for log ingestion of huge volumes, but ClickHouse outperformed all databases we tested, leading us to choose it for further use cases."
 

Cons

"I think Chroma doesn't have a ready-made containerized image available."
"The hybrid algorithm needs improvement."
"ClickHouse could be improved with self-hosting capabilities and better documentation for how to host it at scale."
"We had a lot of troubles while deploying a whole cluster."
"The main issue is the lack of documentation. Many features are available but are not fully documented, which can make finding information challenging."
"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."
"In terms of needed improvements, some enhancements in documentation are necessary."
"ClickHouse has its own concept of database triggers and doesn't support traditional database triggers."
"Additionally, delays are experienced when trying to delete databases with corrupt data, taking too much time and causing major outages, which necessitate contacting multiple teams across continents for resolution."
"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."
 

Pricing and Cost Advice

"The current version is an 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."
"The tool is free."
"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."
"ClickHouse has an open-source version, which is free to use and has almost all the features."
"The tool is open-source."
"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
Financial Services Firm
11%
Computer Software Company
11%
Comms Service Provider
9%
Manufacturing Company
8%
Financial Services Firm
16%
Computer Software Company
12%
Outsourcing Company
9%
Comms Service Provider
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise5
Large Enterprise8
 

Questions from the Community

Ask a question
Earn 20 points
What is your experience regarding pricing and costs for ClickHouse?
My experience with pricing, setup cost, and licensing was such that the setup costs were just my own bandwidth, while licensing and pricing were done by other members of the team so it was abstract...
What needs improvement with ClickHouse?
ClickHouse can be improved on the documentation side, and there is one small constraint that is mentioned in ClickHouse documentation, which is a partition limit of ten thousand that we hit, so if ...
What is your primary use case for ClickHouse?
My main use case for ClickHouse is data ingestion and for its OLAP properties, as we had use cases where database locks were slowing us down and because ClickHouse does not have that, we chose to u...
 

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: June 2026.
908,800 professionals have used our research since 2012.