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ClickHouse vs Supabase comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 22, 2026

Review summaries and opinions

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

ROI

Sentiment score
6.8
ClickHouse boosts productivity with cost and time savings, enhancing database performance and developer efficiency significantly despite unspecified savings.
Sentiment score
5.3
Supabase Vector boosts efficiency and profitability with faster development, better user engagement, reduced costs, and higher conversion rates.
I estimate we save four to five hours per person per week due to this efficiency, translating to around 20 to 25 hours saved monthly for each individual.
AIML engineer at a tech services company with 11-50 employees
We could reduce the amount of employees needed when we migrated to ClickHouse Cloud.
Founder at a tech services company with 11-50 employees
With ClickHouse, we didn't need to spend much on resources, cutting costs by around 25 to 30%.
Associate software architect at a tech services company with 11-50 employees
The dashboard's management made access straightforward for users and super easy to maintain, resulting in very few errors.
Co-Founder & CTO at Mango Giraffe
We notice significant improvements when measuring metrics such as average response times, which have shifted from 800 milliseconds to 2.5 seconds down to around 200 milliseconds to 800 milliseconds, with click-through rates for recommendations improving by 45 to 70%.
Product Engineer at a tech vendor with 11-50 employees
The use of these technologies definitely impacts reducing the time and cost of implementation or deployment.
Co-Founder at a tech services company with 1-10 employees
 

Customer Service

Sentiment score
6.6
ClickHouse offers knowledgeable support, with cloud users praising responsiveness, while community resources aid open-source user self-reliance.
Sentiment score
5.4
Supabase users find customer service satisfactory with efficient support and resources, enhancing their platform experience with minimal direct assistance.
If more timely support could be provided during critical issues, situations could have been resolved much more quickly, saving considerable time.
Senior Data Engineer at a transportation company with 501-1,000 employees
When we faced any challenges, the ClickHouse support team provided helpful resolutions.
AIML engineer at a tech services company with 11-50 employees
We utilize AVN ClickHouse, which is effectively managed by AVN, providing bug fixes and developing new functionalities along with architecture reviews.
Distinguished AI Leader at Walmart Global Tech at Walmart
I would rate the customer support a nine since they replied quickly and answered my questions properly, which helped me a lot.
Co-Founder & CTO at Mango Giraffe
I have always been able to solve it out with the help of my community or sometimes YouTube.
Automation Specialist at a consultancy with 11-50 employees
Community support from helpful developers and engineers provides fast responses on GitHub issues and community forums.
AI Solutions Lead at ADP
 

Scalability Issues

Sentiment score
8.1
ClickHouse is praised for its scalability, efficiently handling large data volumes in distributed systems with solutions like AWS and Kubernetes.
Sentiment score
5.6
Supabase excels in small to medium applications but requires optimization for larger scales; free tier benefits startups.
The vertical scalability is impressive, with high insert throughput, allowing millions of rows per second with low latency.
AIML engineer at a tech services company with 11-50 employees
ClickHouse is highly scalable.
Software Analyst at CLSA
The scalability of ClickHouse is great.
Senior Software Engineer at a wholesaler/distributor with 1,001-5,000 employees
As we move toward larger scales, such as multi-million vectors, it requires careful engineering to maintain predictable performance.
Product Engineer at a tech vendor with 11-50 employees
I have basically used it for small teams, not large teams that need to cover thousands of users.
Automation Specialist at a consultancy with 11-50 employees
Supabase Vector is highly scalable for small to medium to large scale applications.
AI Solutions Lead at ADP
 

Stability Issues

Sentiment score
7.7
ClickHouse offers stable, efficient performance for large data sets, with some concerns about memory use and development inconsistencies.
Sentiment score
7.6
Supabase Vector is stable and reliable, with occasional downtime in India, mainly due to coding errors, not the platform.
I can confidently say that it is very consistent and stable even when handling high volume loads and real-time streaming analytics across financial and operational domains.
AIML engineer at a tech services company with 11-50 employees
ClickHouse handles large volumes of data efficiently.
Software Analyst at CLSA
ClickHouse is stable, as we did not encounter stability issues in production.
Software Development Engineer at a tech vendor with 201-500 employees
From my experience, Supabase Vector is stable.
Co-Founder at a tech services company with 1-10 employees
Achieving the best performance at higher scales depends largely on optimization of queries and indexes.
Product Engineer at a tech vendor with 11-50 employees
I basically use it for my web-coded apps and for the RAG agent and it does all of the needs that I want it to do for my project and for my client's project.
Automation Specialist at a consultancy with 11-50 employees
 

Room For Improvement

ClickHouse users seek improved documentation, integration enhancements, better cloud pricing, and solutions for operational complexity and SQL compatibility issues.
Supabase Vector needs improved documentation and support, better performance, scalability, indexing, and enhanced tool integration and language support.
Another challenge is the lack of robust support for transactional databases, which limits its use as a primary database.
Software Analyst at CLSA
ClickHouse should be able to import data from other types of sources like Parquet and Iceberg tables and all the new upcoming data formats.
Senior Software Engineer at Karvy Fintech
My experience with ClickHouse's documentation is that it needs improvement; I think it can be made more beginner-friendly, while the community support is really good.
Founder at a tech services company with 11-50 employees
Better query debugging tools and built-in evaluation toolkits for vector search would be incredibly helpful for developers.
Product Engineer at a tech vendor with 11-50 employees
If they could make the debugging process clearer to prevent the error messages, that will make development faster for web-coded apps.
Automation Specialist at a consultancy with 11-50 employees
For index optimization guidance, clearer instructions on when to use IVFFlat versus HNSW indexes would be helpful.
AI Solutions Lead at ADP
 

Setup Cost

ClickHouse offers flexible, cost-efficient pricing with open-source and cloud options, though lacks Windows support, balancing cost and performance.
Supabase provides flexible pricing with a free tier and paid plans, ensuring scalability and cost efficiency for various projects.
My experience with pricing, setup cost, and licensing indicates that it is very expensive—ClickHouse is the most expensive option.
Founder at a tech services company with 11-50 employees
ClickHouse is open source with no hidden fees, offering cost-effective data management.
Software Analyst at CLSA
I found ClickHouse's pricing to be efficient in comparison to other services such as Redshift.
AIML engineer at a tech services company with 11-50 employees
It was amazing to be able to create all this technology for free, without the need to pay additional costs to use those technologies, apart from the embeddings ones from Google.
Co-Founder at a tech services company with 1-10 employees
For now, I think the pricing is perfect because every business person can afford it and a developer can afford that price.
Automation Specialist at a consultancy with 11-50 employees
I utilize the free tier, which includes a 500 MB database with vector support at no cost, allowing support for millions of embeddings.
AI Solutions Lead at ADP
 

Valuable Features

ClickHouse provides fast, scalable data storage and retrieval with seamless integration, open-source flexibility, and strong community support.
Supabase Vector offers easy setup, cost-efficiency, PostgreSQL, SQL with vector search, improving database operations through streamlined, secure features.
ClickHouse has reduced our storage cost and improved our 99th percentile latency by 40%.
Senior Software Engineer at Karvy Fintech
For cost optimization, after deploying the cluster on-premises and using S3 Express, approximately 5x cost savings were achieved on data storage.
Senior Data Engineer at a transportation company with 501-1,000 employees
ClickHouse positively impacted our organization by absorbing the whole logging system without hassle, storing logs for six months efficiently.
Associate software architect at a tech services company with 11-50 employees
We have Supabase basically as the host of most of our business relational database and user data, so since the client's applications are migrating to language model-empowered features, it is very useful, and we do not need to register for other database types.
Director at a tech services company with 1-10 employees
Supabase Vector is a managed service, so I do not need to worry about scaling the database and managing the infrastructure.
Senior Full Stack Engineer at a tech vendor with 11-50 employees
Supabase Vector has positively impacted my organization by significantly reducing our testing time.
Co-Founder & CTO at Mango Giraffe
 

Categories and Ranking

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)
Supabase
Ranking in Vector Databases
2nd
Average Rating
8.6
Reviews Sentiment
5.6
Number of Reviews
14
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2026, in the Vector Databases category, the mindshare of ClickHouse is 5.7%, up from 3.8% compared to the previous year. The mindshare of Supabase is 5.7%, down from 8.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases Mindshare Distribution
ProductMindshare (%)
Supabase Vector5.7%
ClickHouse5.7%
Other88.6%
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.
Boya Uday Kumar - PeerSpot reviewer
AI Solutions Lead at ADP
Semantic search has transformed client sites and drives faster projects with higher conversions
Adapting to Supabase Vector was relatively smooth, but there was definitely a moderate learning curve at the start. The SQL foundation, REST API, documentation, and integration with all the AI tools made it easier. However, understanding embeddings, index types, similarity metrics, and how SQL and vector hybrid queries work, as well as the RLS policies for vectors, required some time to learn. I do not have many things to point out, but a couple of areas for improvement come to mind. For index optimization guidance, clearer instructions on when to use IVFFlat versus HNSW indexes would be helpful. Additionally, having a built-in embedding generation capability would simplify the workflow, as currently, I use external services such as OpenAI or Hugging Face for that purpose.
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
13%
Outsourcing Company
9%
Comms Service Provider
9%
Comms Service Provider
13%
Manufacturing Company
10%
Educational Organization
7%
Outsourcing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise5
Large Enterprise8
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise1
Large Enterprise7
 

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 is your experience regarding pricing and costs for Supabase Vector?
In this basic implementation or proof of concept project, I use the basic Supabase project available in the free trial. I am not sure which one of those options it falls under, but I use the free S...
What needs improvement with Supabase Vector?
When setting up a database, a PostgreSQL instance, which is the most popular use of Supabase, instead of having to go and write and run an SQL line to create a pgvector on Supabase, it would be nic...
What is your primary use case for Supabase Vector?
As an AI Engineer, my primary use case of Supabase Vector is for storing vector databases that I use at retrieval and inference in my AI agent and RAG pipelines. I have been working with RAG soluti...
 

Comparisons

 

Overview

Find out what your peers are saying about ClickHouse vs. Supabase and other solutions. Updated: June 2026.
906,418 professionals have used our research since 2012.