AI/ML Engineer at a tech services company with 11-50 employees
Real User
Top 10
Jul 7, 2026
With a PostgreSQL instance on Supabase to hold user data, hashed passwords, and all of those things, and then having to go elsewhere, say Pinecone or Weaviate, to go and create a vector database, to use all of those in my codebase means I have to connect to them independently. I would have a framework for connecting to the Pinecone vector database, have a framework for connecting to Supabase Vector and to the Supabase relational database, and all of that. But now I can just create everything on Supabase, copy my project URL, and just hook it up and everything just works. This reduces complexity and helps saves time. Documentation would be nice, but with the advent of AI-assisted coding, the accuracy of Supabase Vector is good. I would rate this review a 7.
Co-Founder at a tech services company with 1-10 employees
Real User
Top 5
Jun 9, 2026
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. I would rate this product an 8 out of 10.
Director at a tech services company with 1-10 employees
Real User
Top 5
May 23, 2026
I do not have much to add about the features of Supabase Vector; I think so far this is good. I would advise others looking into using Supabase Vector that if your business databases are already hosted on Supabase, pgvector on Supabase is definitely worth trying because it can save you a lot of time when you are bootstrapping and exploring this domain before making a decision to perhaps try using other solutions. I rate this product an 8 out of 10.
Software Developer at a performing arts with 1-10 employees
Real User
Top 10
Apr 7, 2026
I don't know about the efficiency of Supabase Vector in the case of high-dimensional data, and I currently don't have an idea of that part. It can be a bit cheaper. I would give this product an overall rating of eight.
The tool is easy to use. I never go for complex stuff. To make your life easier. The simpler a tool is, it is better for me. The product's challenges revolve around the fact that understanding the solution involves a bit of a learning curve, but it is not a big issue for me. Only if you are trying to integrate the product with Android or iOS apps may you face some issues. I recommend the product to other people. I rate the tool a nine out of ten.
The platform's role-level security feature is quite effective for spatial data management. It allows you to define and manage access controls efficiently. Another useful feature is the performance and analytics reporting, which helps you monitor and optimize your database performance. The AI prompts for query assistance are also beneficial, although I haven't used the real-time notifications feature extensively. The features that have improved data analysis are the performance and tuning tips that Supabase provides. These tips help you optimize queries and functions, which is crucial for handling complex data operations. However, I've noticed that security settings are only sometimes visible in the data definition views, which can be challenging when recreating objects or debugging. Overall, I rate it an eight.
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.
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...
With a PostgreSQL instance on Supabase to hold user data, hashed passwords, and all of those things, and then having to go elsewhere, say Pinecone or Weaviate, to go and create a vector database, to use all of those in my codebase means I have to connect to them independently. I would have a framework for connecting to the Pinecone vector database, have a framework for connecting to Supabase Vector and to the Supabase relational database, and all of that. But now I can just create everything on Supabase, copy my project URL, and just hook it up and everything just works. This reduces complexity and helps saves time. Documentation would be nice, but with the advent of AI-assisted coding, the accuracy of Supabase Vector is good. I would rate this review a 7.
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. I would rate this product an 8 out of 10.
I do not have much to add about the features of Supabase Vector; I think so far this is good. I would advise others looking into using Supabase Vector that if your business databases are already hosted on Supabase, pgvector on Supabase is definitely worth trying because it can save you a lot of time when you are bootstrapping and exploring this domain before making a decision to perhaps try using other solutions. I rate this product an 8 out of 10.
I don't know about the efficiency of Supabase Vector in the case of high-dimensional data, and I currently don't have an idea of that part. It can be a bit cheaper. I would give this product an overall rating of eight.
Keep up the good work.
The tool is easy to use. I never go for complex stuff. To make your life easier. The simpler a tool is, it is better for me. The product's challenges revolve around the fact that understanding the solution involves a bit of a learning curve, but it is not a big issue for me. Only if you are trying to integrate the product with Android or iOS apps may you face some issues. I recommend the product to other people. I rate the tool a nine out of ten.
The platform's role-level security feature is quite effective for spatial data management. It allows you to define and manage access controls efficiently. Another useful feature is the performance and analytics reporting, which helps you monitor and optimize your database performance. The AI prompts for query assistance are also beneficial, although I haven't used the real-time notifications feature extensively. The features that have improved data analysis are the performance and tuning tips that Supabase provides. These tips help you optimize queries and functions, which is crucial for handling complex data operations. However, I've noticed that security settings are only sometimes visible in the data definition views, which can be challenging when recreating objects or debugging. Overall, I rate it an eight.