No more typing reviews! Try our Samantha, our new voice AI agent.
Supabase Vector Logo

Supabase Vector Reviews

Vendor: Supabase
4.3 out of 5
Leave a review

What is Supabase Vector?

Supabase Vector offers an efficient way to manage and query vector embeddings, catering to the needs of developers and data scientists seeking scalable solutions for vector-based data handling.

Get the Supabase Vector Buyer's Guide and find out what your peers are saying about Supabase Vector, PostgreSQL, Redis and more!
Supabase Vector is the #9 ranked solution in top Vector Databases solutions. PeerSpot users give Supabase Vector an average rating of 8.6 out of 10. Supabase Vector is most commonly compared to PostgreSQL: Supabase Vector vs PostgreSQL. Supabase Vector is popular among the large enterprise segment, accounting for 44% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a comms service provider, accounting for 14% of all views.
Buyer's Guide
Supabase Vector
May 2026
Get the report
Helped 896,467 peers since 2012

Featured Supabase Vector reviews

Read more reviews

Supabase Vector mindshare

As of May 2026, the mindshare of Supabase Vector in the Vector Databases category stands at 7.4%, up from 5.9% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Vector Databases Mindshare Distribution
ProductMindshare (%)
Supabase Vector7.4%
PostgreSQL7.9%
Chroma7.1%
Other77.6%
Vector Databases

PeerResearch reports based on Supabase Vector reviews

TypeTitleDate
CategoryVector DatabasesMay 30, 2026Download
ProductReviews, tips, and advice from real usersMay 30, 2026Download
ComparisonSupabase Vector vs Microsoft Azure Cosmos DBMay 30, 2026Download
ComparisonSupabase Vector vs Elastic SearchMay 30, 2026Download
ComparisonSupabase Vector vs PineconeMay 30, 2026Download
Suggested products
TitleRatingMindshareRecommending
PostgreSQL4.27.9%96%127 interviewsAdd to research
Redis4.45.7%100%26 interviewsAdd to research
 
 
Key learnings from peers
Last updated May 24, 2026

Valuable Features

Supabase Vector offers ease of setup, cost-effectiveness, and a unified platform integrating relational and vectorized data. Features like row-level security, PostgreSQL support, and integration of pgvector enhance database management. Its automatic API documentation generation and real-time notifications benefit performance. Users appreciate having everything in one place and not requiring a separate credit card. Integrating with existing infrastructures smoothly, it reduces operational complexities and costs, providing versatility for business applications.
  • "Supabase Vector has positively impacted our organization as it is very convenient since our business databases are already hosted in Supabase, making integration easy."
  • "Supabase Vector rapidly increases the speed and efficiency with which I search through a database, helping with my data analysis tasks."
  • "Supabase Vector is easy to set up and cost-effective because the alternative is Firebase, which requires a credit card."

Room for Improvement

Supabase Vector experiences issues with support and documentation, particularly after service disruption in India. Users encounter challenges with table naming and require more sample code. React Native CLI support is limited. Users face project pausing in the free plan after inactivity, as well as CPU spikes during high-load operations. There is no native hybrid search. Complex indexing in Postgres demands expertise. The SDK requires better compatibility with standard Postgres. Schema visualizer and AI assistant need enhancement.
  • "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 way for access."
  • "I notice that the schema visualizer can be improved. Additionally, the internal AI assistant powered by GPT can also be improved."
  • "I think the support system can be better because after Supabase Vector stopped working in India, there is no support."

Pricing

Supabase Vector's pricing is generally considered reasonable, with plans averaging $20 to $25 per month. Some users find it slightly pricey for vectorized data handling but appreciate its benefits as a singular platform. The standard plan costs approximately $480 annually, but many are open to upgrading based on project needs. While some rate the pricing highly, others feel neutral, with no notable differences in setup costs or licensing fees.
  • "The solution's cost is reasonable compared to other solutions."

Popular Use Cases

Supabase Vector is primarily used for data management, API integrations, and vector storage in Postgres databases. Users leverage it for backend functionalities without needing dedicated backend developers. It facilitates vectorizing and syncing data for AI applications, education tools, and SaaS projects. Organizations streamline operations by consolidating multiple databases into one unified platform, enabling fast data retrieval and enhanced automation for tasks like security setup, API requests, and real-time feature implementation.

Service and Support

Supabase Vector users share that the team is responsive and helpful, especially on the Enterprise plan, where they rate support as nine out of ten. Many users rely on documentation or artificial intelligence rather than contacting technical support directly, indicating minimal necessity for direct interaction.

Deployment

Users found Supabase Vector's initial setup easy and quick, with configuration taking 15-20 minutes. Cloud services made the process even faster with simple subscription steps. They appreciated that deployment was unnecessary, as it arrived pre-deployed. Employing Supabase reduced Make operations during integration, allowing reliance on Supabase Edge Functions for database calls, eliminating third-party dependency. Users valued seamless management and efficiency improvements achieved within the Supabase environment, enhancing their operational metrics significantly.

Scalability

Various opinions highlight Supabase Vector's robust performance for startups and social media applications. Many find it ideal for handling large numbers of users due to unlimited API requests, distinguishing it from services like Firebase and AWS. Ratings for scalability vary, ranging mostly high, with some noting a lack of issues even with substantial user bases. There is praise for its handling of high-dimensional data, though some uncertainty persists on its efficacy at even larger scales.

Stability

Users have mixed thoughts on the stability of Supabase Vector. Some describe it as excellent, rating it a nine, citing reliable performance and support. Others mention challenges, scoring it a six to seven or noting downtime, especially in India. Those on the paid plan often highlight better stability and support. Despite these variations, certain users report no challenges or issues, indicating stable performance.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Supabase Vector Buyer's Guide for additional reliable information.

Top industries

By visitors reading reviews
Comms Service Provider
14%
Manufacturing Company
7%
Outsourcing Company
7%
Educational Organization
7%
Financial Services Firm
6%
Computer Software Company
6%
Healthcare Company
6%
Media Company
6%
Retailer
5%
University
5%
Government
4%
Construction Company
4%
Real Estate/Law Firm
3%
Wholesaler/Distributor
2%
Legal Firm
2%
Recreational Facilities/Services Company
2%
Energy/Utilities Company
2%
Transportation Company
1%
Non Profit
1%
Logistics Company
1%
Performing Arts
1%
Aerospace/Defense Firm
1%
Hospitality Company
1%
Pharma/Biotech Company
1%
Consumer Goods Company
1%
Marketing Services Firm
1%
Wellness & Fitness Company
1%
Insurance Company
1%

Compare Supabase Vector with alternative products

Go!

Learn more about Supabase Vector

Supabase Vector is designed to streamline the process of storing, managing, and querying vector embeddings, essential for applications like machine learning algorithms and personalized recommendations. Its intuitive API and integration capabilities make it a preferred choice for tech professionals seeking a reliable backend for their vector data requirements. With flexible storage options and robust querying features, it accommodates the dynamic demands of AI-driven projects.

What are its key features?
  • Seamless Integration: Connects effortlessly with databases, making it simple to incorporate into existing projects.
  • Scalable Storage: Allows for efficient storage of large volumes of vector data, accommodating growth in usage.
  • Flexible Queries: Supports complex queries, facilitating advanced data analysis and insights.
  • Real-Time Updates: Ensures that data remains current with instantaneous updates.
  • Developer-Friendly: Comes with comprehensive documentation and an intuitive API for ease of use.
What benefits or ROI should users look for?
  • Increased Efficiency: Streamlines data management, reducing time spent on backend development.
  • Cost Effectiveness: Offers scalable options that can save on infrastructure and maintenance costs.
  • Enhanced Accuracy: Delivers precise query results, improving decision-making processes.
  • Improved Developer Productivity: Simplifies complex tasks, allowing developers to focus on more critical activities.

Supabase Vector can be particularly beneficial in industries such as e-commerce for personalized product recommendations, in finance for fraud detection through pattern analysis, and in healthcare for patient data insights. Its capability to handle diverse sets of embeddings makes it versatile across different sectors needing robust data processing tools.

Related questions

  • 92
When evaluating Vector Databases, what aspect do you think is the most important to look for?
  • 62
Why is Vector Databases important for companies?

Product Categories

Product Categories
Vector Databases

Popular Comparisons

Popular Comparisons
PostgreSQL vs Supabase Vector Logo
PostgreSQL vs Supabase Vector
Redis vs Supabase Vector Logo
Redis vs Supabase Vector
Elastic Search vs Supabase Vector Logo
Elastic Search vs Supabase Vector
Microsoft Azure Cosmos DB vs Supabase Vector Logo
Microsoft Azure Cosmos DB vs Supabase Vector
ClickHouse vs Supabase Vector Logo
ClickHouse vs Supabase Vector
Qdrant vs Supabase Vector Logo
Qdrant vs Supabase Vector
Chroma vs Supabase Vector Logo
Chroma vs Supabase Vector
Milvus vs Supabase Vector Logo
Milvus vs Supabase Vector
Pinecone vs Supabase Vector Logo
Pinecone vs Supabase Vector
LanceDB vs Supabase Vector Logo
LanceDB vs Supabase Vector
OpenSearch vs Supabase Vector Logo
OpenSearch vs Supabase Vector
SingleStore vs Supabase Vector Logo
SingleStore vs Supabase Vector
CockroachDB vs Supabase Vector Logo
CockroachDB vs Supabase Vector
Cassandra vs Supabase Vector Logo
Cassandra vs Supabase Vector
Faiss vs Supabase Vector Logo
Faiss vs Supabase Vector
See all alternatives
 
Supabase Vector Reviews Summary
Author infoRatingReview Summary
Director at a tech services company with 1-10 employees4.0I use Supabase Vector for RAG embeddings, valuing its integration with existing Postgres, which saves costs over Pinecone/Weaviate. It's stable and provides good ROI. I recommend it, especially if your databases are already on Supabase.
Software Developer at a performing arts with 1-10 employees4.0I find Supabase Vector easy to set up and cost-effective, offering PostgreSQL and good scalability. However, support is poor, and stability is a concern after it stopped working in India, making table creation difficult for new users.
Full Stack Developer at NTT DATA4.5I use Supabase Vector for AI products, valuing its search speed and PostgreSQL extensions. While the schema visualizer and AI assistant could improve, I find its pricing justified and rate it 9.
Managing Director at TEVC Concept4.0I primarily use Supabase Vector for managing data models and API integrations. Its ease of security setup and API documentation generation has been invaluable. While improvements in sample code and scalability are needed, the product offers excellent ROI compared to Firebase and Azure.
Founder at a tech services company with 1-10 employees5.0I’ve been using Supabase for two months and find it intuitive, easy to integrate, and powerful with its Postgres base. It lowers the skill floor, though I think more Postgres features could still be developed.