Redis vs Supabase Vector comparison

Redis and Supabase are both solutions in the Vector Databases category. Redis is ranked #3 with an average rating of 8.8, while Supabase is ranked #12 with an average rating of 9.0. Redis holds a 5.4% mindshare in VD, compared to Supabase’s 10.4% mindshare. Additionally, 100% of Redis users are willing to recommend the solution, compared to 100% of Supabase users who would recommend it.

Redis

Read 23 Redis reviews

5,005 Views
2,052 Comparison Views

100% willing to recommend

Supabase Vector

Read 3 Supabase Vector reviews

2,284 Views
2,284 Comparison Views

100% willing to recommend

Redis

Supabase Vector

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 14, 2025

Redis and Supabase Vector are competing in database solutions. Supabase Vector has the upper hand in handling complex queries and modern application integration due to its feature set.

Features: Redis is known for high-performance in-memory data storage, persistence, and scalability, suitable for caching and real-time analytics. Supabase Vector has automatic indexing, advanced search capabilities, and built-in vector data support, essential for AI and data science.

Ease of Deployment and Customer Service: Both Redis and Supabase Vector offer cloud-based and self-hosted deployment options. Redis provides robust customer support with a vast community and extensive documentation. Supabase Vector has an intuitive setup process and responsive customer support, emphasizing ease of integration.

Pricing and ROI: Redis offers a flexible pricing model, making it cost-effective for varying workloads. Supabase Vector, at a higher price point, delivers additional value through advanced features, which can justify its cost in intricate data management scenarios.

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

Buyer's Guide

Redis vs. Supabase Vector

December 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

Redis

Ranking in Vector Databases

3rd

Average Rating

8.8

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

NoSQL Databases (5th), Managed NoSQL Databases (9th), In-Memory Data Store Services (1st), AI Software Development (17th)

Supabase Vector

Ranking in Vector Databases

12th

Average Rating

9.0

Reviews Sentiment

5.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Vector Databases category, the mindshare of Redis is 5.4%, up from 5.4% compared to the previous year. The mindshare of Supabase Vector is 10.4%, up from 2.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases Market Share Distribution
Product	Market Share (%)
Redis	5.4%
Supabase Vector	10.4%
Other	84.2%

Vector Databases

Featured Reviews

KarimGarchi

Database Admin and Architect at D-EDGE Hospitality Solutions

Performance shines with seamless session caching and minimal configuration

The best features of Redis, from my personal perspective, are the performance, which is very quick, and it's very simple to implement. Since I started using Redis, I feel that the product is saving me some performance tuning time. It's very easy, I have few parameters to tune, and it seems to have performance without a lot of working on the performance, compared to Cassandra, where you have to configure the memory and many other settings. The integration capability of Redis is excellent. Redis is very affordable because it's free.

Read full review

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 product offers fast access to my database."

"I use Redis mostly to cache repeated data that is required."

"Redis provides an easy setup and operation process, allowing users to quickly connect and use it without hassle."

"It is particularly efficient for cloud-based storage and operations."

"Redis has multiple valuable features such as being a free and reliable open-source tool."

"The performance of Redis is very fast."

"What I like best about Redis is its fast and easy use. It has interesting algorithms like HyperLogLog and provides useful features. It's also good for implementing scalable rate limiting."

"I find Redis valuable primarily for its caching capabilities, particularly in handling cache requests effectively. Its simplicity in managing key-value pairs for caching is one of its strengths, making it a preferred choice over more complex databases like MongoDB for specific use cases. However, I haven't explored Redis extensively for managing complex data structures beyond caching, as MongoDB might be more suitable for such scenarios."

More Redis pros

"The tool is easy to use."

"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."

Cons

"The tool should improve by increasing its size limits and handling dynamic data better. We use the client ID or associate it with a key for static content. The solution will not be easy for a beginner. Unless you understand SQL data, it will be difficult to understand and use Redis. It also needs to be user-friendly."

"There is room for AWS to provide more options for server types or a way to configure more or less memory for them."

"If we use a lot of data, it will eventually cost us a lot."

"For the PubSub feature, we had to create our own tools to monitor the events."

"It's actually quite expensive."

"In future releases, I would like Redis to provide its users with an option like schema validation. Currently, the solution lacks to offer such functionality."

"Redis could improve its efficiency in handling locally stored data, not just Amazon Cloud or Google Cloud."

"There is a lack of documentation on the scalability of the solution."

More Redis 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."

"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."

Pricing and Cost Advice

"Redis is an open-source solution. There are not any hidden fees."

"We saw an ROI. It made the processing of our transactions faster."

"Redis is an open-source product."

"The tool is open-source. There are no additional costs."

"Redis is not an overpriced solution."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

26%

Computer Software Company

10%

Comms Service Provider

University

Comms Service Provider

15%

Computer Software Company

Healthcare Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	3
Large Enterprise	8

No data available

Questions from the Community

What do you like most about Redis?

Redis is better tested and is used by large companies. I haven't found a direct alternative to what Redis offers. Plus, there are a lot of support and learning resources available, which help you u...

See all answers

What needs improvement with Redis?

The disadvantage of Redis is that it's a little bit hard to have too many clusters or too many nodes and create the clusters. The sync between the nodes is easier to implement with Couchbase, for e...

See all answers

What is your primary use case for Redis?

Redis is used for a part of a booking engine for travel, specifically for the front part to get some sessions and information about the sessions. If a customer or user is using the sites in differe...

See all answers

What is your experience regarding pricing and costs for Supabase Vector?

The price is good.

See all answers

What needs improvement with Supabase Vector?

I think there are still many Postgres features that can be developed further by the Supabase team.

See all answers

What is your primary use case for Supabase Vector?

I am exploring Supabase for my project on UMKM.

See all answers

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Compared 8% of the time

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Compared 7% of the time

Red Hat Data Grid vs Redis

Compared 7% of the time

Chroma vs Redis

Compared 6% of the time

Faiss vs Redis

Compared 4% of the time

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Compared 25% of the time

Pinecone vs Supabase Vector

Compared 23% of the time

Chroma vs Supabase Vector

Compared 11% of the time

Milvus vs Supabase Vector

Compared 8% of the time

Weaviate Enterprise Cloud vs Supabase Vector

Compared 5% of the time

More Supabase Vector Competitors

Product Reports

Buyer's Guide

Redis

January 2026

Download Redis product report

Buyer's Guide

Vector Databases

December 2025

Download Supabase Vector product report

Also Known As

Redis Enterprise

No data available

Overview

Redis offers high-speed, in-memory storage, renowned for real-time performance. It supports quick data retrieval and is used commonly in applications like analytics and gaming.

Renowned for real-time performance, Redis delivers high-speed in-memory storage, making it a favorite for applications needing quick data retrieval. Its diverse data structures and caching capabilities support a broad array of use cases, including analytics and gaming. Redis ensures robust scalability with master-slave replication and clustering, while its publish/subscribe pattern renders it reliable for event-driven applications. The solution integrates smoothly with existing systems, minimizing performance tuning needs. Although documentation on scalability and security could be improved, Redis remains cost-effective and stable, commonly utilized in cloud environments. Enhancing integration with cloud services like AWS and Google Cloud and refining GUI may improve usability.

What are the key features of Redis?

High Speed: In-memory data storage for swift access.
Scalability: Master-slave replication and clustering for growth.
Data Structures: Supports diverse types for varied uses.
Persistence: RDB snapshots and AOF logs ensure durability.
Integration: Seamless integration reduces tuning efforts.

What should users look for in Redis reviews?

Performance: Real-time data retrieval boosts efficiency.
Cost-Effectiveness: Stable, budget-friendly implementation.
Versatility: Suitable for diverse environments and platforms.
Reliability: Ensures data persistence and high availability.

Redis finds application across industries for tasks like caching to improve application performance and speed, minimizing database load. It enables real-time processing for session storage, push notifications, and analytics. As a messaging platform, Redis handles high traffic and supports replication and clustering for cross-platform scalability.

Redis

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. Twitter 2. GitHub 3. StackOverflow 4. Pinterest 5. Snapchat 6. Craigslist 7. Digg 8. Weibo 9. Airbnb 10. Uber 11. Slack 12. Trello 13. Shopify 14. Coursera 15. Medium 16. Twitch 17. Foursquare 18. Meetup 19. Kickstarter 20. Docker 21. Heroku 22. Bitbucket 23. Groupon 24. Flipboard 25. SoundCloud 26. BuzzFeed 27. Disqus 28. The New York Times 29. Walmart 30. Nike 31. Sony 32. Philips

Information Not Available

Buyer's Guide

Redis vs. Supabase Vector

December 2025

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