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Supabase Vector vs Weaviate Enterprise Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 8, 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

Supabase Vector
Ranking in Vector Databases
11th
Average Rating
9.0
Reviews Sentiment
5.0
Number of Reviews
3
Ranking in other categories
No ranking in other categories
Weaviate Enterprise Cloud
Ranking in Vector Databases
18th
Average Rating
8.0
Reviews Sentiment
3.9
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2026, in the Vector Databases category, the mindshare of Supabase Vector is 9.3%, up from 3.7% compared to the previous year. The mindshare of Weaviate Enterprise Cloud is 2.7%, up from 1.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases Mindshare Distribution
ProductMindshare (%)
Supabase Vector9.3%
Weaviate Enterprise Cloud2.7%
Other88.0%
Vector Databases
 

Featured Reviews

Kaustubh Sule - PeerSpot reviewer
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.
reviewer2811174 - PeerSpot reviewer
AI Developer at a tech services company with 11-50 employees
Hybrid search has transformed search relevance and has enabled faster delivery of AI features
I am a strong advocate for Weaviate Enterprise Cloud, but there are areas where improvement would make a real difference. Monitoring and observability could be more robust out-of-the-box. Currently, I rely on external tools such as Grafana to track my cluster performance, and having a native dashboard with deeper query-level insights would be beneficial. I would appreciate SDK parity across languages. Some newer features are available on the Python SDK before they reach Go and TypeScript, which slows down teams working on other languages. The learning curve for advanced configuration, sharding strategies, replication, and tuning schema design can be steep for newer team members, so better-guided workflows or templates would help. Multi-region support is also a pending request for Weaviate to seamlessly join cross-region platforms. Auto-scaling granularity could be smarter. The current scaling responds to overall resource usage, but it would be better if it could scale independently based on query load versus ingestion load, as these spike at different times for me. Backup and disaster recovery flows need to be more flexible. While backups exist, setting up a cross-cloud failover or point-in-time recovery to a specific transaction can still be manual. Native re-ranking integration has been improved, and these are areas where Weaviate needs continued improvement.

Quotes from Members

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

Pros

"The platform's role-level security feature is quite effective for spatial data management."
"Supabase enables us to lower the skill floor while keeping the ceiling high."
"The tool is easy to use."
"Supabase enables us to lower the skill floor while keeping the ceiling high."
"Overall, Weaviate Enterprise Cloud shifted my engineering focus from managing infrastructure to building AI-first features that drive business value, which has been a crucial win for my entire organization and the time that every employee is spending per quarter."
 

Cons

"I think there are still many Postgres features that can be developed further by the Supabase team."
"One area for the solution improvement is the inclusion of more sample code in various programming languages, particularly PHP."
"The support for React Native CLI is an area with certain shortcomings where improvements are required."
"I think there are still many Postgres features that can be developed further by the Supabase team."
"The experience with pricing for Weaviate Enterprise Cloud was mixed."
 

Pricing and Cost Advice

"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."
Information not available
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Top Industries

By visitors reading reviews
Comms Service Provider
14%
Computer Software Company
8%
Healthcare Company
6%
Manufacturing Company
6%
Comms Service Provider
13%
Computer Software Company
11%
Media Company
10%
Educational Organization
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What needs improvement with Supabase Vector?
I think there are still many Postgres features that can be developed further by the Supabase team.
What is your primary use case for Supabase Vector?
I am exploring Supabase for my project on UMKM.
Ask a question
Earn 20 points
 

Overview

 

Sample Customers

Information Not Available
1. KLM Royal Dutch Airlines 2. Rabobank 3. Philips 4. ING Bank 5. ABN AMRO Bank 6. Booking.com 7. TomTom 8. Randstad 9. Heineken 10. Shell 11. Unilever 12. ASML 13. Ahold Delhaize 14. DSM 15. AkzoNobel 16. VodafoneZiggo 17. NXP Semiconductors 18. Signify 19. Wolters Kluwer 20. Adyen 21. Aegon 22. Arcadis 23. ASR Nederland 24. BAM Group 25. Boskalis 26. Corbion 27. Fugro 28. Galapagos 29. GrandVision 30. IMCD Group 31. Kendrion 32. OCI
Find out what your peers are saying about Microsoft, Elastic, Redis and others in Vector Databases. Updated: March 2026.
884,873 professionals have used our research since 2012.