Chroma vs ClickHouse comparison

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Chroma

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Executive SummaryUpdated on Nov 23, 2025

Chroma and ClickHouse compete in the data management space. ClickHouse often has the upper hand due to its extensive features, which users find justify its cost.

Features: Chroma focuses on simplicity and ease of integration with existing systems, making it ideal for small to medium-sized enterprises. Its intuitive interface, flexible integration options, and affordable plan are noteworthy. ClickHouse is known for its advanced analytics capabilities, high-speed data processing, and scalability, making it suitable for large-scale operations.

Ease of Deployment and Customer Service: Chroma is recognized for its straightforward setup and excellent customer support, ensuring a seamless implementation process and responsive service. ClickHouse can involve a more complex deployment, which may challenge smaller teams. However, it offers comprehensive documentation and strong community support for organizations with technical expertise.

Pricing and ROI: Chroma's lower setup cost and rapid return on investment attract price-sensitive buyers seeking quick returns and low initial investments. ClickHouse, with a higher entry cost, provides significant long-term benefits through performance optimization and scalability, delivering a higher return on investment over time for companies capable of managing upfront costs.

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

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Chroma vs. ClickHouse

December 2025

Helped 881,733 peers since 2012

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

10th

Average Rating

8.6

Reviews Sentiment

5.5

Number of Reviews

Ranking in other categories

No ranking in other categories

ClickHouse

Ranking in Vector Databases

7th

Average Rating

8.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Open Source Databases (4th)

Mindshare comparison

As of February 2026, in the Vector Databases category, the mindshare of Chroma is 8.9%, down from 14.4% compared to the previous year. The mindshare of ClickHouse is 4.9%, up from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases Market Share Distribution
Product	Market Share (%)
ClickHouse	4.9%
Chroma	8.9%
Other	86.2%

Vector Databases

Featured Reviews

Sameer Bhangale

Leader, Data Science Practice at a computer software company with 5,001-10,000 employees

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.

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Yush Mittal

Level 2 Software Engineer at a computer software company with 201-500 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.

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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

"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."

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

"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."

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

"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."

"ClickHouse has positively impacted my organization, as there was an entire exercise done on which database we were supposed to use for solving our problems, and we found ClickHouse was the one performing the best, which is when we adopted it."

"ClickHouse provides responses within a few seconds, typically two to three seconds, which is impressive."

"With ClickHouse, since data is stored in a columnar way, we get aggregation functions that are much faster than transactional databases, such as SQL Server, and the cost efficiency is also much reduced compared to Cosmos DB since we use it on-premises, the cost is nearly cut, which is very useful for us."

"ClickHouse has reduced our storage cost and improved our 99th percentile latency by 40%."

More ClickHouse pros

Cons

"The hybrid algorithm needs improvement."

"I think Chroma doesn't have a ready-made containerized image available."

"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."

"ClickHouse can be improved, and the main challenge I see is its operational complexity."

"We would like to have fuzzy search capabilities in ClickHouse like we had with Kibana because there are scenarios where we cannot search keywords fuzzily in ClickHouse, whereas Elasticsearch allows that, and in such cases, Elasticsearch outperforms ClickHouse."

"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."

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

"The open-source version of ClickHouse is not very scalable."

"The main issue is the lack of documentation. Many features are available but are not fully documented, which can make finding information challenging."

"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

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."

"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."

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

"The tool is free."

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

"We used the free, community version of ClickHouse."

"The tool is open-source."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

11%

Manufacturing Company

10%

University

Financial Services Firm

17%

Computer Software Company

16%

Manufacturing Company

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	4
Large Enterprise	8

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 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...

Supabase Vector vs Chroma

Comparisons

LanceDB vs Chroma

Compared 20% of the time

Compared 13% of the time

PostgreSQL vs Chroma

Compared 11% of the time

Microsoft Azure Cosmos DB vs Chroma

Compared 10% of the time

SingleStore vs Chroma

Compared 1% of the time

More Chroma Competitors

InfluxDB vs ClickHouse

Compared 13% of the time

OpenSearch vs ClickHouse

Compared 9% of the time

VictoriaMetrics vs ClickHouse

Compared 7% of the time

Cassandra vs ClickHouse

Compared 7% of the time

Milvus vs ClickHouse

Compared 6% of the time

More ClickHouse Competitors

Product Reports

Download Chroma product report

Vector Databases

January 2026

Download ClickHouse product report

February 2026

Overview

Chroma is a versatile tool that enhances visual display quality, offering features such as color accuracy improvement, brightness adjustment, and image settings fine-tuning.

It creates vibrant and immersive visual experiences, making it valuable for content creators, gamers, and design professionals.

Chroma's customizable lighting options and seamless integration with other devices are highly praised, allowing users to personalize their setups and create visually stunning effects.

Its compatibility with various devices ensures a cohesive and immersive user experience.

Chroma

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.

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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