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ClickHouse vs Supabase Vector 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

ClickHouse
Ranking in Vector Databases
7th
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
21
Ranking in other categories
Open Source Databases (3rd)
Supabase Vector
Ranking in Vector Databases
11th
Average Rating
9.0
Reviews Sentiment
5.0
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2026, in the Vector Databases category, the mindshare of ClickHouse is 5.1%, up from 2.9% compared to the previous year. The mindshare of Supabase Vector is 9.3%, up from 3.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases Mindshare Distribution
ProductMindshare (%)
ClickHouse5.1%
Supabase Vector9.3%
Other85.6%
Vector Databases
 

Featured Reviews

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.
Kaustubh Sule - PeerSpot reviewer
Co-Founder • Full Stack Developer at Padhakoo
Easy to use, and there is no need to get involved in any tedious deployment process
If you are a business building a social media app, there will be thousands of users for every such app. Each user will have a post or something. When multiple users try to hit the like button on your post or try to comment on your post, each of them would be an API request, and Supabase Vector does not charge for them like. The API requests are kind of unlimited. If you compare Supabase Vector to any of the other services like Firebase, AWS, or Azure, all the tools charge per request. From a scalability standpoint, if you are a small-scale startup and you have around 1,00,000 or 2,00,000 users, then Supabase Vector is a perfect choice for you. I have never heard about any scalability issues in the product. Scalability-wise, I rate the solution a ten of ten.

Quotes from Members

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

Pros

"ClickHouse provides great query speeds because it is an OLAP database, so naturally, it provides higher speeds."
"The main feature of ClickHouse is the optimizer because we had too many records to deduplicate, and the optimizer took this task by itself."
"ClickHouse is very easy to use; one of the good features is that it has joins, which were not present in Druid, and Druid was quite expensive, especially with our applications at Sam's Club utilizing ClickHouse very quickly."
"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 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 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."
"ClickHouse is a user-friendly solution that tries to be compatible with SQL standards."
"We moved away from Redshift to ClickHouse because of the integration and the flexibility that it provides, which best suited our use case."
"The tool is easy to use."
"The platform's role-level security feature is quite effective for spatial data management."
"Supabase enables us to lower the skill floor while keeping the ceiling high."
"Supabase enables us to lower the skill floor while keeping the ceiling high."
 

Cons

"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."
"We had a lot of troubles while deploying a whole cluster."
"In terms of needed improvements, some enhancements in documentation are necessary."
"In terms of improvements, it's not designed for very frequent small writes, making it less scalable in write-intensive workloads, and it's not flourishing in transactional use cases or when ingesting streaming data, such as batching or buffering, which is something ClickHouse will improve."
"I chose nine out of ten because, as I mentioned, the improvement side and the ten thousand partition limit created issues that we were hitting quite frequently, but with some schema manipulations we did manage to find a workaround, although that could have been avoided had things been better documented on how we could have solved this problem in a different approach, which took some bandwidth."
"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."
"My experience with pricing, setup cost, and licensing indicates that it is very expensive—ClickHouse is the most expensive option."
"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."
"I think there are still many Postgres features that can be developed further by the Supabase team."
"One area for the solution improvement is the inclusion of more sample code in various programming languages, particularly PHP."
"I think there are still many Postgres features that can be developed further by the Supabase team."
"The support for React Native CLI is an area with certain shortcomings where improvements are required."
 

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."
"ClickHouse Cloud is not expensive compared to other databases, costing a few dollars per month while providing fast performance."
"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."
"We used the free, community version of ClickHouse."
"The tool is free."
"The tool is open-source."
"As per the product's regular pricing plans, the tools are available to users for 20 to 25 USD per month."
"The solution's cost is reasonable compared to other solutions."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
16%
Manufacturing Company
8%
Educational Organization
7%
Comms Service Provider
14%
Computer Software Company
8%
Healthcare Company
6%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise4
Large Enterprise8
No data available
 

Questions from the Community

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...
What needs improvement with Supabase Vector?
I think there are still many Postgres features that can be developed further by the Supabase team.
What is your primary use case for Supabase Vector?
I am exploring Supabase for my project on UMKM.
 

Comparisons

 

Overview

Find out what your peers are saying about ClickHouse vs. Supabase Vector and other solutions. Updated: February 2026.
884,797 professionals have used our research since 2012.