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Marqo Agentic Search & Product Discovery vs Supabase Vector comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 13, 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

Marqo Agentic Search & Prod...
Ranking in Vector Databases
21st
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
Search as a Service (17th)
Supabase Vector
Ranking in Vector Databases
6th
Average Rating
8.6
Reviews Sentiment
5.4
Number of Reviews
8
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2026, in the Vector Databases category, the mindshare of Marqo Agentic Search & Product Discovery is 1.3%, up from 0.5% compared to the previous year. The mindshare of Supabase Vector is 6.3%, down from 7.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases Mindshare Distribution
ProductMindshare (%)
Supabase Vector6.3%
Marqo Agentic Search & Product Discovery1.3%
Other92.4%
Vector Databases
 

Featured Reviews

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Alberto Hidalgo - PeerSpot reviewer
Co-Founder
Vector search has reduced duplicate citizen proposals and empowers richer democratic participation
I had problems integrating the vector directly into Supabase, so I had to use Google Vertex to generate the embeddings and the information I needed in the database. It would be nice if all of this could be integrated all in one place with Supabase. I would prefer not to have to use a different or external tool to create these embeddings. It would be nice to have everything integrated in the same way. Apart from that, I think that is one of the cons I found, but it is basic. That was my main concern in that regard. My advice for others looking into using Supabase Vector is to take into account how you are going to create the embeddings, as it is not an option implemented straight away in Supabase. You will need to handle the embeddings with an external tool, so make sure to consider how these integrations are going to be made.
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Top Industries

By visitors reading reviews
No data available
Comms Service Provider
14%
Financial Services Firm
7%
Manufacturing Company
7%
Educational Organization
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise1
Large Enterprise3
 

Questions from the Community

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What is your experience regarding pricing and costs for Supabase Vector?
I do not feel anything special about the pricing, setup cost, and licensing; we just regularly pay whatever we need, and I do not feel much difference.
What needs improvement with Supabase Vector?
One improvement I feel Supabase Vector could benefit from is that Supabase SDK stands out when comparing with a conventional Postgres SDK, and it would be even nicer if we could have a more direct ...
What is your primary use case for Supabase Vector?
Our main use case for Supabase Vector is to use pgvector as the vector database solution to store our embeddings for large language model applications. A specific example of how I'm using Supabase ...
 

Overview

 

Sample Customers

1. Airbnb 2. Amazon 3. Apple 4. BMW 5. Cisco 6. CocaCola 7. Dell 8. Disney 9. Google 10.HP 11. IBM 12. Intel 13. JPMorgan Chase 14. Kraft Heinz 15. L'Oreal 16. McDonalds 17. Merck 18.Microsoft 19.Nike 20.Oracle 21.PG 22. PepsiCo 23.Procter and Gamble 24.Samsung 25. Shell  26.Sony 27. Toyota 28.Visa 29.Walmart 30.WeWork
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