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Chroma vs Supabase Vector comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 5, 2025

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
12th
Average Rating
8.4
Reviews Sentiment
5.5
Number of Reviews
3
Ranking in other categories
No ranking in other categories
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 Chroma is 8.4%, down from 14.1% 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 (%)
Supabase Vector9.3%
Chroma8.4%
Other82.3%
Vector Databases
 

Featured Reviews

Manideep - PeerSpot reviewer
AI Developer at Hecta.ai
RAG pipelines have become faster and support teams handle fewer repetitive questions
The biggest area for improvement is scalability. Chroma needs better native support for distributed and multi-node deployments to complete enterprise-grade solutions. For millions of embeddings, it can struggle compared to more distributed solutions such as Pinecone and Weaviate. The querying and filtering capabilities can be more advanced, supporting complex Boolean logic and range operations on metadata. A more intuitive observability tool, including built-in dashboards for monitoring collection size, query performance, and index health, would be valuable for production use.The API could benefit from batch processing for bulk upserts and deletes, which can feel cumbersome at scale. Streaming ingestion would be a welcome addition. Documentation, while decent for getting started, lacks depth on advanced topics such as HNSW parameters optimization for specific embedding models in production environments and clear guidance. The community is still growing but remains relatively small compared to alternatives. Help on edge cases can be slow. A more structured forum, including an official Discord with dedicated support channels, would also be helpful.
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

"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."
"Chroma has been a fantastic addition to our AI toolkit, and I genuinely believe it is one of the best entry points in the vector database space for any team getting started with RAG or semantic search."
"Supabase enables us to lower the skill floor while keeping the ceiling high."
"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."
"The tool is easy to use."
 

Cons

"The hybrid algorithm needs improvement."
"The biggest area for improvement is scalability."
"I think Chroma doesn't have a ready-made containerized image available."
"The support for React Native CLI is an area with certain shortcomings where improvements are required."
"I think there are still many Postgres features that can be developed further by the Supabase team."
"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."
 

Pricing and Cost Advice

"The current version is an 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
12%
Computer Software Company
11%
Manufacturing Company
9%
Comms Service Provider
8%
Comms Service Provider
14%
Computer Software Company
8%
Healthcare Company
6%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
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 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

 

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
Information Not Available
Find out what your peers are saying about Chroma vs. Supabase Vector and other solutions. Updated: February 2026.
884,797 professionals have used our research since 2012.