Director at a tech services company with 1-10 employees
Real User
Top 5
May 23, 2026
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 wish that there was a convenient way to make it compatible with the general Postgres database SDK, but this is actually not about the vector database; it is about the general Supabase SDK.
Software Developer at a performing arts with 1-10 employees
Real User
Top 10
Apr 7, 2026
I think the support system can be better because after Supabase Vector stopped working in India, there is no support. Nobody knows how to deal with the database now. The naming structure is a little difficult. If you are naming a table, the guidance is sometimes not clear. It's a very simple feature to add sometimes but the process is very difficult. When I'm in Supabase Vector, there is a feature where I have to create a table. At the start, for newcomers, it's difficult, and then it becomes hard. You have to look for the documentation and YouTube videos to understand how it works. Supabase Vector stopped working in India due to some government guidelines, so I have to switch with something else now.
The support for React Native CLI is an area with certain shortcomings where improvements are required. There is just one thing wrong with Supabase. In the free plan, if your project is not being used in seven days, then the solution will pause, so it will stop working, causing some stability issues. The tool can extend the period beyond seven days.
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 scalability features for advanced use cases would also be beneficial.
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...
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 wish that there was a convenient way to make it compatible with the general Postgres database SDK, but this is actually not about the vector database; it is about the general Supabase SDK.
I think the support system can be better because after Supabase Vector stopped working in India, there is no support. Nobody knows how to deal with the database now. The naming structure is a little difficult. If you are naming a table, the guidance is sometimes not clear. It's a very simple feature to add sometimes but the process is very difficult. When I'm in Supabase Vector, there is a feature where I have to create a table. At the start, for newcomers, it's difficult, and then it becomes hard. You have to look for the documentation and YouTube videos to understand how it works. Supabase Vector stopped working in India due to some government guidelines, so I have to switch with something else now.
I think there are still many Postgres features that can be developed further by the Supabase team.
The support for React Native CLI is an area with certain shortcomings where improvements are required. There is just one thing wrong with Supabase. In the free plan, if your project is not being used in seven days, then the solution will pause, so it will stop working, causing some stability issues. The tool can extend the period beyond seven days.
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 scalability features for advanced use cases would also be beneficial.