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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
11th
Average Rating
8.6
Reviews Sentiment
5.6
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Supabase Vector
Ranking in Vector Databases
9th
Average Rating
8.4
Reviews Sentiment
5.3
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2026, in the Vector Databases category, the mindshare of Chroma is 7.1%, down from 13.0% compared to the previous year. The mindshare of Supabase Vector is 7.4%, up from 5.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases Mindshare Distribution
ProductMindshare (%)
Supabase Vector7.4%
Chroma7.1%
Other85.5%
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…
AmritDash - PeerSpot reviewer
Automation Engineer at a educational organization with 11-50 employees
Unified course data has streamlined our AI study assistant and still needs better large-scale search
There can be compute spikes when we scale up, which we noticed during our intake season while processing millions of records. Massive similarity searches on a lot of vectors can spike the database CPU and potentially slow down API requests, so we had to move to a higher plan in Supabase for handling this during our intake season. There is no native hybrid search yet, which can combine keyword search and vector search. Supabase supports both, but combining them requires writing a custom Postgres function, while dedicated tools on other platforms allow you to do that out of the box. On some level, we face indexing complexity with Supabase Vector because although vectors expedite searches, we need to use indexes such as HNSW or IVF Flat. Tuning these indexes in Postgres requires advanced knowledge, and we needed a dedicated Supabase expert or to hire someone capable of understanding these complex queries and set this up for us, making it not a plug-and-play solution for a massive scale project with tens of millions of vectors. Vectors are stored in Postgres, and we can perform a lot of similarity searches on millions of vectors, which can spike database CPU and potentially slow down the app, but apart from that, everything seems positive.

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."
"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 Vector has positively impacted our organization quite a lot, as we moved away from Pinecone to a unified platform where we store relational and vectorized data together, reducing automation times and eliminating the hassle of managing and maintaining two separate databases in sync."
"Supabase enables us to lower the skill floor while keeping the ceiling high."
"Supabase Vector is easy to set up and cost-effective because the alternative is Firebase, which requires a credit card."
"Supabase Vector rapidly increases the speed and efficiency with which I search through a database, helping with my data analysis tasks."
 

Cons

"I think Chroma doesn't have a ready-made containerized image available."
"The hybrid algorithm needs improvement."
"I think there are still many Postgres features that can be developed further by the Supabase team."
"There can be compute spikes when we scale up, which we noticed during our intake season while processing millions of records. Massive similarity searches on a lot of vectors can spike the database CPU and potentially slow down API requests, so we had to move to a higher plan in Supabase for handling this during our intake season."
"I notice that the schema visualizer can be improved. Additionally, the internal AI assistant powered by GPT can also be improved."
"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."
"I think the support system can be better because after Supabase Vector stopped working in India, there is no support."
 

Pricing and Cost Advice

"The current version is an open-source."
"The solution's cost is reasonable compared to other solutions."
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893,164 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
11%
Computer Software Company
10%
Manufacturing Company
9%
Government
8%
Comms Service Provider
14%
Manufacturing Company
7%
Outsourcing Company
7%
Financial Services Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise1
Large Enterprise2
 

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 the support system can be better because after Supabase Vector stopped working in India, there is no support. Nobody knows how to deal with the database now. The naming structure is a littl...
What is your primary use case for Supabase Vector?
I'm using Supabase Vector for the Postgres part. I use their Postgres database as the main requirement for the product from my side. If I am building a small website or any product, I don't need to...
 

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. Supabase Vector and other solutions. Updated: April 2026.
893,164 professionals have used our research since 2012.