Pinecone vs Supabase Vector comparison

Pinecone and Supabase are both solutions in the Vector Databases category. Pinecone is ranked #6 with an average rating of 8.0, while Supabase is ranked #15 with an average rating of 8.5. Additionally, 100% of Pinecone users are willing to recommend the solution, compared to 100% of Supabase users who would recommend it.

Pinecone

Read 6 Pinecone reviews

1,823 Views
1,653 Comparison Views

100% willing to recommend

Supabase Vector

Read 2 Supabase Vector reviews

566 Views
518 Comparison Views

100% willing to recommend

Pinecone

Supabase Vector

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Pinecone and Supabase Vector based on real PeerSpot user reviews.

Find out in this report how the two Vector Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Pinecone vs. Supabase Vector Report (Updated: January 2025).

Buyer's Guide

Pinecone vs. Supabase Vector

January 2025

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Helped 838,640 peers since 2012

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

6th

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Supabase Vector

Ranking in Vector Databases

15th

Average Rating

8.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

Aakash Kushwaha

SDE at Alphablocks

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.

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Kaustubh Sule

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.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The product's setup phase was easy."

"We chose Pinecone because it covers most of the use cases."

"The semantic search capability is very good."

"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 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

"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."

"For testing purposes, the product should offer support locally as it is one area where the tool has shortcomings."

"Pinecone can be made more budget-friendly."

"Onboarding could be better and smoother."

"The product fails to offer a serverless type of storage capacity."

"The tool does not confirm whether a file is deleted or not."

"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

"I have experience with the tool's free version."

"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."

"The solution is relatively cheaper than other vector DBs in the market."

"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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838,640 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Computer Software Company

17%

Financial Services Firm

10%

University

Educational Organization

Comms Service Provider

21%

Retailer

14%

Government

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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.

See all answers

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.

See all answers

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.

See all answers

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 ...

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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 ...

See all answers

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.

See all answers

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Compared 38% of the time

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Compared 11% of the time

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Compared 11% of the time

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Compared 10% of the time

Cassandra vs Pinecone

Compared 2% of the time

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Compared 53% of the time

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Compared 10% of the time

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Compared 9% of the time

Weaviate vs Supabase Vector

Compared 8% of the time

Faiss vs Supabase Vector

Compared 4% of the time

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Product Reports

Buyer's Guide

Pinecone

February 2025

Download Pinecone product report

Buyer's Guide

Vector Databases

February 2025

Download Supabase Vector product report

Overview

Pinecone is a powerful tool for efficiently storing and retrieving vector embeddings. It is highly praised for its scalability, speed, and ease of integration with existing workflows.

Users find it particularly useful for similarity search, recommendation systems, and natural language processing.

Its efficient search capabilities, seamless integration with existing systems, and ability to handle large-scale datasets make it a valuable tool for data analysis and retrieval.

Pinecone

An open source Vector database for developing AI applications. Use pgvector to store, index, and access embeddings, and our AI toolkit to build AI applications with Hugging Face and OpenAI. Scale effortlessly from experimentation to production-ready AI applications.

Supabase

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

Buyer's Guide

Pinecone vs. Supabase Vector

January 2025

Free Report: Pinecone vs. Supabase Vector

Find out what your peers are saying about Pinecone vs. Supabase Vector and other solutions. Updated: January 2025.

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