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Chroma vs Supabase comparison

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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:
 

Categories and Ranking

Chroma
Ranking in Vector Databases
17th
Average Rating
8.6
Reviews Sentiment
5.6
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Supabase
Ranking in Vector Databases
3rd
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 October 2026, in the Vector Databases category, the mindshare of Chroma is 5.7%, down from 10.7% compared to the previous year. The mindshare of Supabase is 5.0%, down from 9.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases Mindshare Distribution
ProductMindshare (%)
Supabase5.0%
Chroma5.7%
Other89.3%
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…
Boya Uday Kumar - PeerSpot reviewer
Ai Research Enthusiast And Developer 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.

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."
"Supabase Vector rapidly increases the speed and efficiency with which I search through a database, helping with my data analysis tasks."
"We completed what we initially estimated as a fifteen-day job in just three days, thanks to the Supabase dashboards and triggers."
"Supabase Vector positively impacts my organization by reducing the cost of the LLMs."
"When I got to know about Supabase Vector, I fell in love with it since it worked for what I was using it for, and I just stuck to it."
"Supabase Vector is easy to set up and cost-effective because the alternative is Firebase, which requires a credit card."
"Previously, 50% of searches returned no results or irrelevant products, but we changed that to 90% of searches returning relevant results, which led to a 30% increase in search-to-purchase conversions for the e-commerce client and was a big win for us."
"Supabase enables us to lower the skill floor while keeping the ceiling high."
"Supabase Vector has made my work a lot easier, especially since we already use PostgreSQL instances on Supabase for our relational database."
 

Cons

"I think Chroma doesn't have a ready-made containerized image available."
"The hybrid algorithm needs improvement."
"I think the support system can be better because after Supabase Vector stopped working in India, there is no support."
"When the website goes down, the lagging part needs to be resolved. When you have attached a front-end app and your users are using it and then the back-end is not in sync or lagging at the moment, it usually affects the front end of the app because the app will not be able to function to its maximum expectation."
"I feel Supabase Vector can be improved by venturing further into adding more backend features and maybe working with fast API frameworks like Python languages; they could improve and widen their capabilities."
"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."
"My experience with Supabase Vector's performance at scale indicates that it operates excellently at small scales, but as we move toward larger scales, such as multi-million vectors, it requires careful engineering to maintain predictable performance, with challenges such as query plan complexity and latency variance."
"For advanced production use with millions of embeddings, it's necessary to be thoughtful about indexing such as HNSW or IVFFlat and hardware sizing to keep query times fast."
"I notice that the schema visualizer can be improved. Additionally, the internal AI assistant powered by GPT can also be improved."
 

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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Top Industries

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

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise1
Large Enterprise8
 

Questions from the Community

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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

 

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 and other solutions. Updated: September 2026.
917,403 professionals have used our research since 2012.