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Pinecone 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

Pinecone
Ranking in Vector Databases
7th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
6
Ranking in other categories
No ranking in other categories
Supabase Vector
Ranking in Vector Databases
15th
Average Rating
8.6
Reviews Sentiment
7.9
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2025, in the Vector Databases category, the mindshare of Pinecone is 7.9%, down from 8.3% compared to the previous year. The mindshare of Supabase Vector is 3.7%. It is calculated based on PeerSpot user engagement data.
Vector Databases
 

Featured Reviews

Aakash Kushwaha - PeerSpot reviewer
Helps retrieve data, relatively cheaper, and provides useful documentation
Suppose I want to delete a vector from Pinecone or a multi-vector from a single document. Pinecone does not provide feedback on whether a document is deleted or not. In SQL and NoSQL databases, if we delete something, we get a response that it is deleted. The tool does not confirm whether a file is deleted or not. I have raised the issue with support. If we have 10,000 vectors in our index and do not use a metadata tag, it will take one to three seconds to complete a search. When I try to search using a metadata tag, the speed is still the same. The search speed must be much faster because I specify which vectors I need the data from.
Kaustubh Sule - PeerSpot reviewer
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 semantic search capability is very good."
"We chose Pinecone because it covers most of the use cases."
"The most valuable feature of Pinecone is its managed service aspect. There are many vector databases available, but Pinecone stands out in the market. It is very flexible, allowing us to input any kind of data dimensions into the platform. This makes it easy to use for both technical and non-technical users."
"The best thing about Pinecone is its private local host feature. It displays all the maintenance parameters and lets us view the data sent to the database. We can also see the status of the CD and which application it corresponds to."
"The product's setup phase was easy."
"The most valuable features of the solution are similarity search and maximal marginal relevance search for retrieval purposes."
"The platform's role-level security feature is quite effective for spatial data management."
"The tool is easy to use."
 

Cons

"For testing purposes, the product should offer support locally as it is one area where the tool has shortcomings."
"Onboarding could be better and smoother."
"I want to suggest that Pinecone requires a login and API key, but I would prefer not to have a login system and to use the environment directly."
"The tool does not confirm whether a file is deleted or not."
"The product fails to offer a serverless type of storage capacity."
"Pinecone can be made more budget-friendly."
"The support for React Native CLI is an area with certain shortcomings where improvements are required."
"One area for the solution improvement is the inclusion of more sample code in various programming languages, particularly PHP."
 

Pricing and Cost Advice

"The solution is relatively cheaper than other vector DBs in the market."
"Pinecone is not cheap; it's actually quite expensive. We find that using Pinecone can raise our budget significantly. On the other hand, using open-source options is more budget-friendly."
"I have experience with the tool's free version."
"I think Pinecone is cheaper to use than other options I've explored. However, I also remember that they offer a paid version."
"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
Computer Software Company
18%
Financial Services Firm
10%
University
8%
Comms Service Provider
7%
Comms Service Provider
17%
Computer Software Company
12%
Retailer
11%
Financial Services Firm
7%
 

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 Pinecone?
We chose Pinecone because it covers most of the use cases.
What needs improvement with Pinecone?
I want to suggest that Pinecone requires a login and API key, but I would prefer not to have a login system and to use the environment directly.
What is your primary use case for Pinecone?
I've used Pinecone to streamline token generation for my chatbot's functionality. Specifically, I used it for the OpenNeeam Building.
What is your experience regarding pricing and costs for Supabase Vector?
The solution's cost is reasonable compared to other solutions. We currently use the standard plan, which costs about $480 annually, and may switch to a full data plan depending on project needs. I ...
What needs improvement with Supabase Vector?
One area for the solution improvement is the inclusion of more sample code in various programming languages, particularly PHP. Expanding the support for complex transactional queries and enhancing ...
What is your primary use case for Supabase Vector?
We use the product primarily to handle data models and API integrations. It simplifies security setup, API documentation generation, and database management.
 

Comparisons

 

Overview

 

Sample Customers

1. Airbnb 2. DoorDash 3. Instacart 4. Lyft 5. Pinterest 6. Reddit 7. Slack 8. Snapchat 9. Spotify 10. TikTok 11. Twitter 12. Uber 13. Zoom 14. Adobe 15. Amazon 16. Apple 17. Facebook 18. Google 19. IBM 20. Microsoft 21. Netflix 22. Salesforce 23. Shopify 24. Square 25. Tesla 26. TikTok 27. Twitch 28. Uber Eats 29. WhatsApp 30. Yelp 31. Zillow 32. Zynga
Information Not Available
Find out what your peers are saying about Pinecone vs. Supabase Vector and other solutions. Updated: March 2025.
842,592 professionals have used our research since 2012.