PostgreSQL vs Supabase Vector comparison

PostgreSQL and Supabase are both solutions in the Vector Databases category. PostgreSQL is ranked #9 with an average rating of 8.5, while Supabase is ranked #13 with an average rating of 8.5. PostgreSQL holds a 4.9% mindshare in VD, compared to Supabase’s 5.9% mindshare. Additionally, 96% of PostgreSQL users are willing to recommend the solution, compared to 100% of Supabase users who would recommend it.

PostgreSQL

Read 125 PostgreSQL reviews

1,226 Views
1,119 Comparison Views

96% willing to recommend

Supabase Vector

Read 2 Supabase Vector reviews

1,121 Views
1,026 Comparison Views

100% willing to recommend

PostgreSQL

Supabase Vector

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 5, 2025

PostgreSQL and Supabase Vector compete in the relational database and vector search categories. Supabase Vector seems to have the upper hand in machine learning applications due to its advanced vector search capabilities.

Features: PostgreSQL offers robust data integrity, an extensive range of data types, and comprehensive documentation. Supabase Vector is known for its rapid deployment of vector similarity searches, seamless integration with other Supabase services, and specialized vector functionalities for machine learning.

Ease of Deployment and Customer Service: PostgreSQL provides extensive community support and a rich ecosystem for complex deployments. Supabase Vector simplifies deployment with quick-start features and automated scaling, providing responsive customer support, contrasting PostgreSQL's community-driven solutions.

Pricing and ROI: PostgreSQL offers a cost-effective, scalable pricing model with high ROI through reduced licensing fees. Supabase Vector provides a predictable, usage-based pricing model catering to budget-conscious projects, aligning well with AI applications' emerging needs, ensuring affordability while maintaining specialization.

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

Buyer's Guide

PostgreSQL vs. Supabase Vector

April 2025

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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

PostgreSQL

Ranking in Vector Databases

9th

Average Rating

8.4

Reviews Sentiment

7.7

Number of Reviews

125

Ranking in other categories

Open Source Databases (1st)

Supabase Vector

Ranking in Vector Databases

13th

Average Rating

8.6

Reviews Sentiment

7.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2025, in the Vector Databases category, the mindshare of PostgreSQL is 4.9%, up from 3.5% compared to the previous year. The mindshare of Supabase Vector is 5.9%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases

Featured Reviews

Faustine Chisasa

System Administrator at TZ Telecom Ltd.

Easy to manage, good integration, powerful plugins, improves performance, and saves on storage space

The most valuable feature is support for the Timescale DB extension. We managed to reduce the storage space needed to 10% of the original size, without affecting data integrity, and we significantly improved the performance. The database engine is easy to manage, the tuning is friendly, and the integration with supported extensions is friendly too. The database engine is free and open-source, too. Since we did everything internally, it has greatly reduced the costs of setting up our systems. It also supports diverse kinds of replication, which is crucial for a high availability environment that we plan to set in the near future.

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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 solution is quite stable."

"It is very simple to manage."

"The product is very similar to the SQL Server."

"The solution provides complete support in terms of the SQL dialect and behaves nicely when it comes to transactions."

"PostgreSQL is very easy to use. I have experience in Oracle SQL and PostgreSQL uses the same syntax which makes it is easy for me to develop."

"It's a transactional database, so we use Postgres for most of our reporting. That's where it's helping."

"The solution is open-source and free to use."

"It's quite scalable."

Cons

"The solution could improve the integration."

"The interface climate could be better."

"The interface could be much better."

"It would be good to have machine learning functionality in this solution, similar to Microsoft SQL Server and other solutions. Machine learning capability for a basic level or a common user would be useful. It can also have good reporting capabilities."

"Integration with other platforms could be improved."

"PostgreSQL could improve by being more user-friendly. In SQL Server they have a studio where you can easily do management but not in this solution."

"Instead of the installation agent downloading all the packages for the install, it should allow the user to download the packages separately on their own to do the install."

"PostgreSQL doesn't have a feature for temporal SQL, which is useful for gathering versions of data. This feature should be included in PostgreSQL. This feature is available in MariaDB, SQL Server, Oracle Database, and DB2."

Pricing and Cost Advice

"Affordable solution."

"This solution can offer a cheaper choice for customers since it is open-source."

"The solution requires a license."

"It could be much cheaper. If you would like to build an application on Amazon today, PostgreSQL is the standard database with Redshift. If you want other databases, you can add them, but PostgreSQL is the basis of everything. It's a question of money, that's it."

"The tool is cheaply priced compared to other RDBMS providers in the market."

"Our company pays for it. There are free versions available, but for advanced features, you obviously have to pay."

"There is an annual license."

"The licensing model is good."

Top Industries

By visitors reading reviews

Computer Software Company

15%

Financial Services Firm

12%

Comms Service Provider

10%

Manufacturing Company

Comms Service Provider

19%

Computer Software Company

10%

Retailer

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

How does Firebird SQL compare with PostgreSQL?

PostgreSQL was designed in a way that provides you with not only a high degree of flexibility but also offers you a cheap and easy-to-use solution. It gives you the ability to redesign and audit yo...

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What do you like most about PostgreSQL?

It's a transactional database, so we use Postgres for most of our reporting. That's where it's helping.

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What is your experience regarding pricing and costs for PostgreSQL?

The tool is free of cost. For now, it's not about making money. But once we perfect it, we can offer it to customers willing to pay for support and other services. Most of my deployments are free.

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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 ...

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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.

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Comparisons

Firebird SQL vs PostgreSQL

Compared 36% of the time

MySQL vs PostgreSQL

Compared 12% of the time

EDB Postgres Advanced Server vs PostgreSQL

Compared 11% of the time

MariaDB vs PostgreSQL

Compared 8% of the time

Chroma vs PostgreSQL

Compared 7% of the time

Product Reports

Buyer's Guide

PostgreSQL

May 2025

Download PostgreSQL product report

Buyer's Guide

Vector Databases

April 2025

Download Supabase Vector product report

Overview

PostgreSQL is a versatile and reliable database management system commonly used for web development, data analysis, and building scalable databases.

It offers advanced features like indexing, replication, and transaction management. Users appreciate its flexibility, performance, and ability to handle large amounts of data efficiently. Its robustness, scalability, and support for complex queries make it highly valuable.

Additionally, PostgreSQL's extensibility, flexibility, community support, and frequent updates contribute to its ongoing improvement and stability.

PostgreSQL

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 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.

Supabase

Sample Customers

1. Apple 2. Cisco 3. Fujitsu 4. Instagram 5. Netflix 6. Red Hat 7. Sony 8. Uber 9. Cisco Systems 10. Skype 11. LinkedIn 12. Etsy 13. Yelp 14. Reddit 15. Dropbox 16. Slack 17. Twitch 18. WhatsApp 19. Snapchat 20. Shazam 21. SoundCloud 22. The New York Times 23. Cisco WebEx 24. Atlassian 25. Cisco Meraki 26. Heroku 27. GitLab 28. Zalando 29. OpenTable 30. Trello 31. Square Enix 32. Bloomberg

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Buyer's Guide

PostgreSQL vs. Supabase Vector

April 2025

Free Report: PostgreSQL vs. Supabase Vector

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